Next Article in Journal
Feasibility of the Schizophrenia Hope Scale-9: A Psychometric Study
Next Article in Special Issue
Video-Based Intervention for Improving Maternal Retention and Adherence to HIV Treatment: Patient Perspectives and Experiences
Previous Article in Journal
Analyzing Land-Use Change Scenarios for Ecosystem Services and their Trade-Offs in the Ecological Conservation Area in Beijing, China
Previous Article in Special Issue
The Moderating Role of Extroversion and Neuroticism in the Relationship between Autonomy at Work, Burnout, and Job Satisfaction
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Teacher Training Can Make a Difference: Tools to Overcome the Impact of COVID-19 on Primary Schools. An Experimental Study

by
Teresa Pozo-Rico
*,
Raquel Gilar-Corbí
*,
Andrea Izquierdo
and
Juan-Luis Castejón
Department of Developmental Psychology and Didactics, University of Alicante, 03080 Alicante, Spain
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(22), 8633; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17228633
Submission received: 5 November 2020 / Revised: 14 November 2020 / Accepted: 16 November 2020 / Published: 20 November 2020
(This article belongs to the Special Issue Research in Clinical and Health Contexts)

Abstract

:
Overcoming the impact of the coronavirus pandemic (COVID-19) on primary schools is an emerging need and priority in the current social welfare system. Accordingly, this study presents an empirical learning package to support teachers, who perform frontline work in schools, in coping with stress, preventing burnout, improving their information and communications technology (ICT) competency, and introducing the principles of emotional intelligence (EI) in the classroom. The participants included 141 primary school teachers (M = 38.4 years, SD = 6.84; 54.6% women). They were randomly assigned to an experimental or control group. The experimental group participated in the 14-week teacher training program, whereas the control group did not participate in the program or receive any other training during the intervention. Repeated-measures analysis of variance (time x group) was performed to identify the effects of the teacher training program. Teachers who participated in the training program evaluated it positively and showed significant differences compared to the control group in their abilities to cope with stress and avoid burnout, their ICT competency, and their introduction of EI in the classroom. Implications for supporting teachers are discussed.

1. Introduction

This research aimed to demonstrate the efficacy of a teacher training program intended to support primary school teachers in four key areas: (1) coping with stress, (2) preventing burnout, (3) improving their information and communications technology (ICT) competency, and (4) introducing emotional intelligence (EI) in the classroom. Coronavirus disease 2019 (COVID-19) is having a clear impact on the educational setting of primary school; practical teaching strategies and methodologies are required to face and overcome this new threat to health, social development, and education. The following subsections describe the current state of research in this field and the teacher training program

1.1. Theoretical Framework

1.1.1. Work-Related Stress among Teachers

Several studies have demonstrated a positive relationship between teachers’ well-being and their efficacy in teaching [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]. However, practical and applied research on training programs to improve teacher well-being and efficacy is still needed, particularly in light of the extreme challenges posed by the COVID-19 crisis. Furthermore, even if teachers do receive training in educational methodologies to manage stress, classroom-level implementation can remain low [16,17].
It is important to consider in order to support and design efficient training programs like this and according to previous researches, that the resources that can mitigate or reduce teacher stress and burnout are internal (managing classroom self-efficacy and instructional self-efficacy) and external (school support resources). Both (internal and external resources) have shown a negative effect on job stressors [18]. For example, as Doménech-Betoret and Gomez-Artiga [19] pointed out, there is a strong and significant association between self-efficacy and the coping strategies used by teachers, and coping strategies act as moderator on burnout dimensions.
Appropriate training can mitigate work-related stress among teachers by furnishing them with the skills, strategies, and resources needed to manage stress, improve efficacy, and increase workplace satisfaction [20,21,22,23]. The key to the effectiveness of such training is to provide teachers with useful strategies and resources and facilitate effective transfer of these skills to the classroom to buffer against teacher stress in everyday school life, as the program developed in the present study does.
On this way, teacher burnout is a serious problem in schools, with links to impoverishment of the teaching occupation, frustration and dissatisfaction with teaching, and job absenteeism [24,25,26,27,28,29,30]. It is critical to train teachers to face this difficulty, safeguard themselves, and achieve optimal psychological development at work [31,32,33,34,35].
Training to prevent teacher burnout plays a protective role and improves the psychosocial environment and health of teachers’ work life [36,37,38,39,40]. It also increases teachers’ engagement, resilience, perception of their teaching value, self-efficacy, and ability to thrive within their [41,42,43,44,45,46]. Thus, a positive relationship exists between teachers’ well-being and their efficacy in teaching [47,48,49].
Similarly, preventing teacher burnout has been linked to decreases in disruptive behavior among students and greater general stability of the classroom [50,51,52], as well as student motivation and academic commitment [53,54,55,56]. Teachers with low stress levels and no burnout symptoms and classes with high coping skills have been associated with enriched student outcomes [57,58,59,60,61,62].

1.1.2. ICT Educational Approaches

Providing a teacher training program in the ICT area to reduce the impact of COVID-19 is considered important because ICT has become a key resource in 21st-century education, particularly during the COVID-19 outbreak, during which face-to-face classes have not been possible [63,64,65,66,67,68]. Several studies have shown that introduction of ICT in teaching and learning improves the quality of education [69,70,71,72]. However, incorporating ICT into education also places significant professional demand on teachers [73,74,75,76]. Thus, adequate teacher training on practical ICT competency geared toward the teaching/learning process is necessary [77,78,79,80]. Without such training, forcing the introduction of ICT educational approaches into the curriculum and assessment process may cause considerable frustrations to both teachers and the learning community [81,82].

1.1.3. EI for Educational Development

Several studies have shown that teachers require EI competency to support student learning, provide opportunities for social development, and promote academic achievement and success among students [83,84,85,86]. Similarly, EI competency can increase teachers’ own work environment, psychosocial health, and well-being [87,88,89,90,91,92,93,94,95,96,97]. Both applications have health benefits and positive impacts on the learning community.
Developing teachers’ abilities to cope with negative affect and emotional exhaustion is key in an academic context, as it has a meaningful effect on learning processes in the classroom setting and plays a significant role in fostering students’ learning engagement [77,98,99,100,101,102]. It also plays a protective role among teachers, increasing the quality and health of teachers’ psychosocial environment and working life [103,104,105,106].
Finally, emotional exhaustion plays a key role in teacher burnout [18]. For this reason, providing a teacher training in the EI area is considered important in order to prevent emotional exhaustion and, consequently, to reduce the negative impact of COVID-19.

2. Materials and Methods

2.1. Participants

The request for participation in the study was sent to 500 teachers from three educational districts in the southeast of Spain. A total of 323 primary school teachers showed interest in participating voluntarily in the study. However, for the present study only those teachers who demonstrated a prior ICT-related training experience (an ICT course of 30 hours achieved in the academic year before) were selected (n = 141). Consequently, these 141 primary school teachers were randomly assigned to one of two experimental conditions. The first (experimental) group (n = 70) participated in the teacher training program intended to improve stress management and burnout in the teaching profession, competency and use of ICT to support teaching and learning, and introduction of EI-based pedagogical principles into the classroom. The second (control) group (n = 71) did not receive any special training in strategies for managing stress or burnout, using ICT to support teaching and learning, or introducing EI into their teaching. Of the 141 teachers, 54.6% were women and 45.4% were men, and their average age was 38.4 years (SD = 6.98 years). Average teaching experience was 13.1 years (SD = 6.84 years). Finally, the procedure was approval for University of Alicante Ethics Committee (UA-2015-07-06).

2.2. Instruments

The following instruments were used in this study to measure teacher stress, burnout, emotional intelligence, and evaluation of the teacher training program.
1. Perceived Stress Questionnaire (PSQ, 20-item) [107]: The PSQ evaluates subjective experience of perceived stressful situations [105]. The scale includes 20 items (e.g., “You have many worries”) that are formulated positively and negatively to reduce acquiescence bias, and each item is assessed on a 4-point Likert-type scale from 1 (“almost never”) to 4 (“almost always”). It includes six subscales in addition to the overall score: (1) Harassment–social acceptance, (2) Overload, (3) Irritability–tension–fatigue, (4) Energy–joy, (5) Fear–anxiety, and (6) Self-realization–satisfaction. Higher scores indicate more severe subjective experience of perceived stress. Cronbach´s α values were optimal (between 0.85 and 0.87). The PSQ has been translated and validated in several languages and cultural contexts; the Spanish version was used in the present study [108].
2. Perceived Stress Scale (PSS, 14-item) [109] The PSS is a self-reported instrument that assesses level of perceived stress during the last month and consists of 14 items (e.g., “In the last month, how often have you felt that you were unable to control the important things in your life?”) rated on a 5-point scale from 0 (“never”) to 4 (“very often”). Higher scores indicate higher perceived stress. The instrument was originally designed in English [109] and has been translated and validated in several languages and cultural contexts. The European Spanish version was used in the present study and showed adequate reliability (internal consistency, α = 0.81; test-retest, r = 0.73), validity (concurrent), and sensitivity [110].
3. RED questionnaire [111]: The RED questionnaire assesses psychosocial labor risks and workplace stress due to increasingly heavy technological demands or insufficient technological competency. The scale includes 16 items rated on a 7-point scale from 0 (“never”) to 6 (“always/every day”) (e.g., “When I finish working with ICT, I feel exhausted”), and includes four subscales in addition to the overall score: (1) Skepticism, (2) Fatigue, (3) Anxiety, and (4) Inefficiency. Higher scores indicate that participants report feelings of anxiety, fatigue, skepticism and inefficacy beliefs related with the use of ICT at the workplace. The RED questionnaire was originally developed and validated for the Spanish population and demonstrates adequate reliability and validity (Cronbach’s α values were 0.93 for the Skepticism dimension, 0.92 for the Fatigue dimension, 0.83 for the Anxiety dimension, and 0.84 for the Inefficiency dimension).
4. Maslach Burnout Inventory (MBI; 22-item) [112]: The MBI includes 22 items presented as statements about the feelings and attitudes of the professional in his or her work (e.g., “I feel like I’m at the end of my rope”). It is used to measure both the frequency and intensity of professional burnout. Each item is rated on a 7-point Likert-type scale from 0 (“never”) to 6 “every day”). The instrument includes three subscales: (1) Emotional exhaustion or exhaustion, (2) Depersonalization, and (3) Personal accomplishment. Burnout syndrome is defined by high scores in the first two subscales and low scores in the third. The MBI demonstrates adequate reliability and validity (Cronbach’s α values were 0.89 for the Exhaustion or emotional exhaustion dimension, 0.77 for the Depersonalization dimension, and 0.74 for the Personal accomplishment dimension). This study used a version of the scale that has been adapted and validated for the Spanish population [113].
5. Emotional Quotient Inventory (EQ-i; 51-item) [23]: The EQ-i is a self-reported measure of emotionally and socially intelligent behavior. It has been translated into more than 30 languages and demonstrates good reliability and validity. The scale consists of 51 items (e.g., “I believe in my ability to handle most upsetting problems”) assessed on a 5-point Likert-type scale, and evaluates five subfactors of emotional intelligence in addition to the overall EQ-i score: (1) Intrapersonal intelligence, (2) Interpersonal intelligence, (3) Adaptation, (4) Stress management, and (5) Humor. This study used the Spanish version of the EQ-i [114]. Cronbach’s α values and internal consistency reliability were 0.75 for the Intrapersonal intelligence dimension, 0.77 for the Interpersonal intelligence dimension, 0.84 for the Adaptability dimension, 0.83 for the Stress management, and 0.88 for the Humor dimension.
6. Teacher training evaluation survey: A survey was designed ad-hoc by the authors to determine how satisfied teachers were with the 14-week training program after their participation. The survey consisted of 15 statements rated on a 5-point Likert scale from 1 (“totally disagree”) to 5 (“totally agree”). A comment box was also included to allow teachers to share remarks or suggestions. Please see Appendix A for more information.

2.3. Procedure

Before the training was initiated, all the teachers were fully informed of the study’s details and guaranteed confidentiality of all data obtained. On this way, the study was conducted in accordance with the Declaration of Helsinki and the recommendations and approval of the University of Alicante Ethics Committee (UA-2015-07-06). Participating teachers were randomly assigned to either the experimental or the control group. The experimental group participated in the training program over the next 14 weeks. The control group did not participate in the program or receive any other intervention during this period. In addition, on the one hand, the pretest measures were recollected two weeks before of the beginning of the program in both groups. For this goal, an e-learning Moodle platform was used because all the Spanish population was confined. On the other hand, the posttest measures were recollected two weeks after of the completion of the program in both groups. Also, in this case, the same e-learning Moodle Version 3.9.2 (Moodle.org, Western, Australia) platform was used. In conclusion, in both groups, teachers’ scores in all variables (stress levels, burnout levels, ICT competency, and EI competency) were recorded before and after the 14-week teacher training program. The experimental group also completed the teacher training evaluation survey after the training across the e-learning Moodle platform mentioned after conclusion of the training period.

2.4. Experimental Design and Data Analysis

An experimental study was carried out in this project with two groups (control vs experimental group) and two times of evaluation (pretest phase carried out before the training and the posttest phase carried out after the training). On this way, a general linear model was used to analyze the effects of the 14-week teacher training program. To ensure the equivalence of the groups, comparative analysis using Student’s t-test was conducted before initiating the teacher training program. Subsequently, teachers’ scores on all variables were analyzed using multivariate analysis of variance (MANOVA) and a univariate analysis of variance (ANOVA) of repeated measures, in which the dependent variable measured before and after the training was treated as intra-subjects variable, and the group (control/experimental) was an inter-subject variable.
Finally, the differences between the experimental and control groups were graphically represented for the variables studied. All statistical analyses and graphical representation were completed using SPSS version 22 (IBM Corporation, Armonk, NY, USA).

2.5. Teacher Training Program

First of all, the specific research objectives of the study are the following:
  • To analyze if there is a significant decrease in the stress levels of teachers in the experimental group compared to those in the control group after training.
  • To analyze if there is a significant decrease in the emotional exhaustion levels and depersonalization levels of teachers in the experimental group compared to those in the control group after training.
  • To analyze if there is a significant increase in personal accomplishment levels of teachers in the experimental group compared to those in the control group after training.
  • To analyze if there is a significant increase in emotional intelligence levels of teachers in the experimental group compared to those in the control group after training.
  • To analyze if there is a significant increase in use of ICT among teachers in the experimental group compared to those in the control group after training.
  • To analyze if there is a teacher’ satisfaction with the program considered like a effective training for prevented burnout and promoted psychological well-being in the teaching community.
Consequently, the present study’s 14-week teacher training program was designed to improve the key strategies described in Section 1.1.1 through Section 1.1.3 among primary school teachers. Table 1 describes the details of each lesson in the program.

3. Results

3.1. Baseline: Before Teacher Training

The study first analyzed whether the experimental and control groups had any significant differences in (1) stress levels (PSQ and PSS), (2) burnout levels (MBI), (3) ICT competency (RED questionnaire), (4) EI competency (EQ-i), or (5) sociodemographic variables (age, teaching experience, and gender) based on an independent-samples t-test. The results showed no significant differences between the two groups in any of the variables before the teacher training program (Table 2).

3.2. Effects of the Teacher Training Program

Box’s M test revealed no homogeneity of the variance-covariance matrix for all scales. However, violation of this assumption has a minimal effect if the groups are approximately equal in size [115].
Analyzing the effects of the teacher training program, multivariate analysis indicated that all the variables showed significant variations in interaction test, obtaining the following results for the Wilks’s lambda statistic: Harassment–social acceptance (F = 147.98, η2partial = 0.52), Overload (F = 114.57, η2partial = 0.49), Irritability–tension–fatigue (F = 166.32; η2partial = 0.55), Energy–joy (F = 119.17, η2partial = 0.46), Fear–anxiety (F = 115.55, η2partial = 0.45), Self-realization–satisfaction (parallelism F = 112.91, η2partial = 0.45), and PSQ total (parallelism F = 188.18, η2partial = 0.57); PSS total (F = 270.49, η2partial = 0.66); Skepticism (parallelism F = 191.88, η2partial = 0.58), Fatigue (F = 255.93, η2partial = 0.65), Anxiety (F = 353.06, η2partial = 0.72), Inefficiency (parallelism F = 350.36, η2partial = 0.72), and RED questionnaire total (F = 359.69, η2partial = 0.72); Emotional exhaustion (F = 238.85, η2partial = 0.63), Depersonalization (F = 444.53, η2partial = 0.76), and personal accomplishment (F = 117.82, η2partial = 0.46); Intrapersonal intelligence (F = 133.79, η2partial = 0.49), Interpersonal intelligence (F = 134.05, η2partial = 0.49), Stress management (F = 264.36, η2partial = 0.65), Adaptation (F = 258.80, η2partial = 0.65), Humor (F = 258.99, η2partial = 0.65), and EQ-i total (F = 223.87, η2partial = 0.62). The F ratios in all cases were highly significant, p ≤ 0.001, and the observed power was 1.00 and all cases.
Univariate analysis showed that, as shown in Table 3, the interaction between the evaluation time (pre-test and post-test) and the training is significant (p ≤ 0.001) for all the variables examined in the present study.
In order to simplify the graphic representations, Figure 1 shows interaction graphs of the direction of the differences observed between the experimental and control groups in the total score of PSQ, PSS, RED questionnaire and EQ-i. Furthermore, in the case of MBI, three factors are considered: Emotional exhaustion, Depersonalization, Personal accomplishment, because this instrument do not have a total scale score. After the 14-week training period, significant changes were observed in experimental group compared to the control group in terms of stress level (decreased total PSQ and PSS scores also represent decreases in all PSQ subscales), burnout levels (decreases in Emotional exhaustion and Depersonalization scores and increase in Personal accomplishment scores on the MBI), ICT competency (decreased total RED questionnaire scores also represent decreases in all RED subscales), and EI competency (increased total EQ-i scores also represent increases in all EQ-i subscales).
Finally, the experimental group showed high agreement with nearly all statements on the satisfaction survey, indicating high satisfaction with the teacher training program. An exception was item 6 (“The objectives were appropriate for the planned duration and the established work schedule”), which received a positive (“agree” or “strongly agree”) response from 78.9% of the participants but a negative (“disagree”) response from 21.1%. Responses to the open-ended comment box indicated that this was because some teachers would have liked the training to last longer.

4. Discussion

4.1. Interpreting the Findings

First of all, according with the first specific research objective, participants in the training showed a decreased in the stress levels. Second, according with the second and third specific research objective, participants in the training showed a decreased emotional exhaustion and depersonalization and an increased sense of personal accomplishment. Third, according with the fourth specific research objective, the participants in the training showed an increase in the emotional intelligence levels.
Fourthly, according with the fifth specific research objective, the teacher training program included training on the use of ICT to overcome adverse educational and social-sanitary conditions; the association of ICT methodologies with key concepts and educational innovations applied to classroom challenges; ICT-based pedagogical methodologies for lesson planning and evaluation; and ICT-based innovations and game-based e-learning methodologies to foster a high-quality teaching/learning environment in primary education. On this way, the experimental group in this study demonstrated increased levels of perceived competency and perceived ability to deal with psychosocial labor risks and workplace stress as a result of the heavy and increasing technological demands imposed by COVID-19. This indicates that after participating in the training, teachers reported less anxiety, fatigue, skepticism, and inefficacy related to using ICT in their work. Considering these results, ICT in education can facilitate educational innovations to face classroom challenges and offers customizable tools to meet teachers’ instructional needs, particularly in the face of adverse educational and social-sanitary conditions.
On the other hand, according with the sixth specific research objective, in the post-training survey, participants strongly agreed that the training program effectively improved teachers’ ICT competency. Participants also agreed with other statements related to ICT and the set of competencies acquired in the training program, such as “the knowledge that I have gained will positively affect my methods in the classroom” and “this teacher training program was a good impetus for me to improve my performance as a teacher.” Finally, the study’s important goal of ensuring transfer of the knowledge gained in the training program in actual teaching practice was evidenced by participants’ strong agreement with the statement “I consider the transfer of knowledge to my teaching practice understandable.”

4.2. Theoretical and Practical Implications of the Study

The four variables examined in this study and addressed by the teacher training program have long been recognized as important issues in teaching and are even more key given the current difficulties posed by COVID-19 in primary education. Teaching is an occupation with high stress and emotional demands [88,116,117,118]. This study’s teacher training was found to effectively decrease teachers’ perceived stress levels and increase their EI. The evaluation survey revealed that teachers who participated in the program found it helpful in developing these two competencies and implementing this knowledge in the classroom (e.g., participants reported strong agreement with statements such as “the training program effectively improves teachers’ ability to cope with stress” and “the training program effectively trains teachers to apply EI competencies to educational management”).
This study aimed to incorporate a practical approach. Thus, the teacher training program incorporated practical tools, methodologies, and resources to help teachers manage their stress in the classroom, both in normal educational contexts and in adverse social and health conditions; improve their understanding of emotions (academic self-esteem, self-realization, and emotional awareness), ability to identify emotions (improving intrapersonal and interpersonal relationships, increasing empathy and social responsibility in crisis situations), emotional expression, and ability to leverage positive emotions; implement EI strategies and improve their effectiveness in frontline teaching work; and promote positive emotions in educational plans to face and resolve challenges. In the post-training survey, participants strongly agreed that the teacher training program was helpful for developing innovative and successful teaching methodologies and educational plans as a strategic response to address the pandemic. Furthermore, training and improving these competencies are key for teaching because managing stress and applying EI in the classroom are linked to favorable school policies and practices [119,120,121,122,123,124,125,126,127,128,129,130].
Preventing teacher burnout is also essential for optimal teacher effectiveness [131,132,133,134,135,136]. Burnout syndrome appears due to chronically high levels of stress, overwhelming negative emotions, and sustained work-related exhaustion. The teacher training program in this study incorporated methodologies aimed to prevent burnout along with practical strategies and resources to safeguard psychological well-being in situations of adversity and health emergency.
Training in ICT competency was included in this study’s teacher training program for several reasons. First, the scientific literature shows that ICT competency is an emerging requirement for innovative and high-quality teaching [137,138,139,140,141,142,143,144,145]. Second, methodologies based on ICT are useful educational tools valid path towards the teaching [146,147,148,149,150]. Third, creative educational approaches are needed to mitigate the impact of COVID-19 on the learning community [151,152,153]. Finally, workable solutions are required to cope with health situations that prevent or restrict face-to-face teaching [154,155,156].

4.3. Limitations and Future Research Directions

This study presents a practical training program to improve teacher competencies and help them mitigate the impact of the COVID-19 crisis on primary education. However, several limitations must be considered. First, the sample size was small. A future goal is to develop an improved version of this training program and implement it with a larger sample of teachers. Additionally, the initiative is small in scope. Unfortunately, there is currently no global or standard educational response to the COVID-19 pandemic; each country is addressing the crisis based on their own opportunities and educational expertise. In future, the scope of the training should be improved to adapt the goals and methodologies to international educational contexts.
Second, in the light of the study’s results, future research must confirm the long-term sustainability of the methodologies trained in the program and their impact on students’ academic achievement. Although this study intended to analyze academic achievement reports, educational authorities have strongly promoted positive academic reports during the pandemic, and thus academic reports published during the COVID-19 outbreak cannot be considered accurate.
Finally, transfer of the methodologies acquired in the teacher training program requires time, and logistical and pedagogical considerations must be guaranteed. The study found that the program’s strategies effectively improved teachers’ ability to cope with stress and avoid burnout, but teacher overload should be realistically considered, taking into account the time and resources that are available. Similarly, knowledge from the teacher training program could be transferred to implement meaningful EI learning into the classroom and promote a free and constructive environment, but a school culture of respect between the members of the learning community is necessary for this to succeed. Finally, the ICT training for teachers in the program is accurate, but the digital gap must still be fought. The entire educational community must have the technical resources and skills to access classes designed in an e-learning environment. For the proposed methodologies to be viable, these educational conditions must be met before teacher training is implemented. Further research on these aspects is necessary.

5. Conclusions

The challenges of the COVID-19 health situation in education have led to the emergence of a teacher overexertion and a depth adaptation to the new environment demands on classroom. Numerous questions have been raised about the short- and long-term impacts of the COVID-19 pandemic on the Primary Education. New demands on current education systems are extensive and have developed suddenly and unpredictably. However, there is consensus that training teacher competencies is key in responding to the pandemic situation. The purpose of this study is to develop a teacher training for support teachers, who perform frontline work in schools, in coping with stress, preventing burnout, improving their information and communications technology and introducing the principles of emotional intelligence in the classroom. Accordingly, the results have shown that fostering teachers’ well-being (through stress management and prevention of burnout) is possible, as well as equipping teachers with the ICT competency necessary to implement new educational practices and incorporating EI into teaching. And consequently, raising teachers’ ability to strategically create a positive emotional atmosphere within the learning community.

Author Contributions

Conceptualization, T.P.-R. and R.G.-C.; methodology, R.G.-C. and J.-L.C.; investigation, T.P.-R.; resources, A.I.; data curation, T.P.-R.; writing—original draft preparation, T.P.-R., R.G.-C., A.I. and J.-L.C.; funding acquisition, R.G.-C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Spanish Ministry of Economy and Competitiveness (EDU2015-64562-R).

Acknowledgments

We are thankful to the editors and the three anonymous reviewers for their helpful comments. They helped to improve the presentation and discussion of our topic a lot.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A. Description about Teacher Training Evaluation Survey

A survey was designed ad-hoc by the authors to determine how satisfied teachers were with the 14-week training program after their participation. The survey consisted of 15 statements rated on a 5-point Likert scale from 1 (“totally disagree”) to 5 (“totally agree”). A comment box was also included to allow teachers to share remarks or suggestions. The 15 items were as follows:
  • The teacher training program effectively improves teachers’ ability to cope with stress.
  • The teacher training program effectively prevents burnout among teachers.
  • The teacher training program effectively improves teachers’ ICT competency.
  • The teacher training program effectively trains teachers to apply EI competencies to educational management.
  • The teacher training program is helpful for developing innovative and successful teaching methodologies and educational plans as a strategic response to address the pandemic.
  • The objectives were appropriate for the planned duration and the established work schedule.
  • The methods used were effective.
  • The transfer of knowledge to my teaching practice was understandable.
  • The knowledge I have gained will positively affect my methods in the classroom.
  • The 14-week teacher training program met my expectations.
  • My motivation and interest during the 14-week teacher training program were high.
  • The teacher training program fosters good EI in teachers to promote psychological well-being in the teaching community.
  • The teacher training program effectively expands teachers’ commitment to quality education and addresses future gaps.
  • The training was engaging and beneficial for improving academic achievement based on positive emotions in primary school.
  • This teacher training program was a good impetus for me to improve my performance as a teacher.

References

  1. Travers, C.J. Stress in teaching: Past, present and future. In Stress in the Workplace: Past, Present and Future; Dunham, J., Ed.; Whurr Publishers: Philadelphia, PA, USA, 2001; pp. 130–163. [Google Scholar]
  2. Hill, E. Stress in teachers–Past, present and future. Br. J. Educ. Psychol. 2000, 70, 139–140. [Google Scholar]
  3. Soden, R. Stress in teachers: Past, present and future. J. Occup. Organ. Psychol. 2001, 74, 685–686. [Google Scholar]
  4. Wang, Z.; Lan, Y.; Wang, M. A study on the resources coping with occupational stress in teachers. Zhonghua Yu Fang Yi Xue Za Zhi Chin. J. Prev. Med. 2001, 35, 381–383. [Google Scholar]
  5. Naghieh, A.; Montgomery, P.; Bonell, C.P.; Thompson, M.; Aber, J.L. Organisational interventions for improving wellbeing and reducing work-related stress in teachers. Cochrane Database Syst. Rev. 2015, 4, CD010306. [Google Scholar] [CrossRef] [Green Version]
  6. Triff, D.-G.; Triff, Z.; Bocoș, M.-D.; Naghi, E. Communication with superiors and colleagues and other occupational stressors. Correlations with work ability, self-efficacy and health in employees from primary and secondary education. Romanian J. Occup. Med. 2019, 70, 20–27. [Google Scholar] [CrossRef]
  7. Zhang, Y.; Zhu, T.; Tang, L.; Li, J.; Lan, Y.J. A study of relationship between occupational stress and diseases in secondary school teachers. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi = Zhonghua Laodong Weisheng Zhiyebing Zazhi = Chin. J. Ind. Hyg. Occup. Dis. 2015, 33, 749–752. [Google Scholar]
  8. McIntyre, T.M.; Barr, C.D.; Francis, D.J.; Durand, A.C. Towards a Dynamic Integrative Theory of Educator Stress. In Aligning Perspectives on Health, Safety and Well-Being; Springer Science and Business Media LLC: Berlin/Heidelberg, Germany, 2017; pp. 261–289. [Google Scholar]
  9. Lachowska, B.H.; Szpringer, M.; Lachowski, S.; Porydzaj, K. Conflict and facilitation between family and occupational roles versus work-related stress in the teachers’ group. Med. Stud. 2018, 34, 41–56. [Google Scholar] [CrossRef]
  10. De Vera Garcia, M.I.V.; Gabari Gambarte, M.I. Resilience as a protective factor of chronic stress in teachers. Eur. J. Investig. Health Psychol. Educ. 2019, 9, 159–175. [Google Scholar]
  11. Putwain, D.W.; Von Der Embse, N. Teacher self-efficacy moderates the relations between imposed pressure from imposed curriculum changes and teacher stress. Educ. Psychol. 2018, 39, 51–64. [Google Scholar] [CrossRef]
  12. Howard, J.T.; Howard, K. The effect of perceived stress on absenteeism and presenteeism in public school teachers. J. Work. Behav. Heal. 2020, 35, 100–116. [Google Scholar] [CrossRef]
  13. Oberle, E.; Gist, A.; Cooray, M.S.; Pinto, J.B.R. Do students notice stress in teachers? Associations between classroom teacher burnout and students’ perceptions of teacher social–emotional competence. Psychol. Sch. 2020. [Google Scholar] [CrossRef]
  14. Schaefer, A.; Pels, F.; Kleinert, J. Coping strategies as mediators within the relationship between emotion-regulation and perceived stress in teachers. Int. J. Emot. Educ. 2020, 12, 35–47. [Google Scholar]
  15. Teles, R.; Valle, A.; Rodríguez, S.; Piñeiro, I.; Regueiro, B. Perceived Stress and Indicators of Burnout in Teachers at Portuguese Higher Education Institutions (HEI). Int. J. Environ. Res. Public Heal. 2020, 17, 3248. [Google Scholar] [CrossRef] [PubMed]
  16. Sapolsky, R.M. Why Zebras Don’t Get Ulcers: The Acclaimed Guide to Stress, Stress-Related Diseases, and Coping; Henry Holt: New York, NY, USA, 2004. [Google Scholar]
  17. Herman, K.C.; Hickmon-Rosa, J.; Reinke, W.M. Empirically Derived Profiles of Teacher Stress, Burnout, Self-Efficacy, and Coping and Associated Student Outcomes. J. Posit. Behav. Interv. 2017, 20, 90–100. [Google Scholar] [CrossRef] [Green Version]
  18. Doménech-Betoret, F. Self-efficacy, school resources, job stressors and burnout among Spanish primary and secondary school teachers: A structural equation approach. Educ. Psychol. 2009, 29, 45–68. [Google Scholar] [CrossRef] [Green Version]
  19. Doménech-Betoret, F.; Gómez-Artiga, A. Barriers perceived by teachers at work, coping strategies, self-efficacy and burnout. Span. J. Psychol. 2010, 13, 636–652. [Google Scholar]
  20. Procópio, L.F.; Pereira, A.; Procópio, M. Fontes de stress em docentes: Estudo psicométrico sobre stress no estágio pedagógico. Rev. EDaPECI 2016, 16, 455–468. [Google Scholar] [CrossRef]
  21. Dussault, M.; Deaudelin, C.; Royer, N.; Loiselle, J. Professional isolation and occupational stress in teachers. Psychol. Rep. 1999, 84, 943–946. [Google Scholar] [CrossRef]
  22. Clerico, J.B.; Ilyasov, D.F.; Cherepov, E.A.; Sevryukova, A.A.; Selivanova, E.A.; Nikolov, N.O. Methods of mental health maintenance in teachers experiencing emotional stress. Human. Sport. Med. 2019, 19, 57–65. [Google Scholar] [CrossRef]
  23. Bar-On, R.E.; Parker, J.D. The Handbook of Emotional Intelligence: Theory, Development, Assessment, and Application at Home, School, and in the Workplace; Jossey-Bass: San Francisco, CA, USA, 2000. [Google Scholar]
  24. Arvidsson, I.; Leo, U.; Larsson, A.; Håkansson, C.; Persson, R.; Björk, J. Burnout among school teachers: Quantitative and qualitative results from a follow-up study in southern Sweden. BMC Public Health 2019, 19, 655. [Google Scholar] [CrossRef]
  25. García, M.I.V.D.V.; Gambarte, M.I.G. Burnout y Factores de Resiliencia en Docentes de Educación Secundaria. Int. J. Sociol. Educ. 2019, 8, 127–152. [Google Scholar] [CrossRef]
  26. Pellerone, M.; Rapisarda, V.; Trischitta, M.C.A.; Vitale, E.; Ramaci, T. Burnout and Self-Perceived Instructional Competence: An Exploratory Study of a Group of Italian Female Elementary School Teachers. Int. J. Environ. Res. Public Health 2020, 17, 1356. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Sandilos, L.E.; Goble, P.; Schwartz, S. Burnout and Teacher–Child Interactions: The Moderating Influence of SEL Interventions in Head Start Classrooms. Early Educ. Dev. 2020, 31, 1169–1185. [Google Scholar] [CrossRef]
  28. Bakioğlu, F.; Kiraz, Z. Burnout and wellbeing of teacher candidates: The mediator role of cynicism. Anales Psicol. 2019, 35, 521–528. [Google Scholar] [CrossRef]
  29. Lachowska, B.; Minda, K. Burnout and work engagement among psychiatric nurses–are work characteristics important? Arch. Psychiatry Psychother. 2020, 22, 77–83. [Google Scholar] [CrossRef]
  30. Meredith, C.; Schaufeli, W.; Struyve, C.; Vandecandelaere, M.; Gielen, S.; Kyndt, E. ‘Burnout contagion’ among teachers: A social network approach. J. Occup. Organ. Psychol. 2020, 93. [Google Scholar] [CrossRef]
  31. Braun, S.S.; Schonert-Reichl, K.A.; Roeser, R.W. Effects of teachers’ emotion regulation, burnout, and life satisfaction on student well-being. J. Appl. Dev. Psychol. 2020, 69, 101151. [Google Scholar] [CrossRef]
  32. Kang, D.-M. An Elementary School EFL Teacher’s Emotional Intelligence and Emotional Labor. J. Lang. Identit. Educ. 2020, 1–14. [Google Scholar] [CrossRef]
  33. Drew, S.V.; Sosnowski, C. Emerging theory of teacher resilience: A situational analysis. Engl. Teach. Pract. Crit. 2019, 18, 492–507. [Google Scholar] [CrossRef]
  34. Çağla, A.; Rızaoğlu, F.; Türkdoğan, T.; Yayli, D. An emotion focused approach in predicting teacher burnout and job satisfaction. Teach. Teach. Educ. 2020, 90, 103025. [Google Scholar] [CrossRef]
  35. McKenzie, J.; Olson, R.E.; Patulny, R.; Bellocchi, A.; Mills, K.A. Emotion management and solidarity in the workplace: A call for a new research agenda. Sociol. Rev. 2019, 67, 672–688. [Google Scholar] [CrossRef]
  36. Wulandari, A.; Djoehaeni, H. Burnout in special needs teachers in kindergartens. In Proceedings of the Early Childhood Education in the 21st Century; Informa UK Limited: London, UK, 2019; pp. 189–193. [Google Scholar]
  37. Dev, S.; Nair, S.; Dwivedi, A. Burnout of Academic Professionals and its Impact on Work Performance. Pertanika J. Soc. Sci. Humanit. 2019, 27, 2555–2569. [Google Scholar]
  38. Temam, S.; Billaudeau, N.; Vercambre, M.-N. Burnout symptomatology and social support at work independent of the private sphere: A population-based study of French teachers. Int. Arch. Occup. Environ. Health 2019, 92, 891–900. [Google Scholar] [CrossRef] [PubMed]
  39. Ptáček, R.; Vnukova, M.; Raboch, J.; Smetackova, I.; Sanders, E.; Svandova, L.; Harsa, P.; Stefano, G.B. Burnout Syndrome and Lifestyle Among Primary School Teachers: A Czech Representative Study. Med. Sci. Monit. 2019, 25, 4974–4981. [Google Scholar] [CrossRef] [PubMed]
  40. Gallegos, W.L.A.; Cahua, J.C.H.; Ceballos, K.D. Síndrome de Burnout en profesores de escuela y universidad: Un análisis psicométrico y comparativo en la ciudad de Arequipa. Propósitos Represent. 2019, 7, 72–110. [Google Scholar] [CrossRef]
  41. Ángel, A.; Sevil-Serrano, J.; Haerens, L.; Aelterman, N.; García-González, L. Towards a more refined understanding of the interplay between burnout and engagement among secondary school teachers: A person-centered perspective. Learn. Individ. Differ. 2019, 72, 69–79. [Google Scholar] [CrossRef]
  42. Ainsworth, S.; Oldfield, J. Quantifying teacher resilience: Context matters. Teach. Teach. Educ. 2019, 82, 117–128. [Google Scholar] [CrossRef]
  43. Zhang, Q.; Yin, J.; Chen, H.; Zhang, Q.; Wu, W. Emotional Labor Among Early Childhood Teachers: Frequency, Antecedents, and Consequences. J. Res. Child. Educ. 2019, 34, 288–305. [Google Scholar] [CrossRef]
  44. Christensen, M.; Dyrstad, J.M.; Innstrand, S.T. Academic work engagement, resources and productivity: Empirical evidence with policy implications. Stud. High. Educ. 2018, 45, 86–99. [Google Scholar] [CrossRef]
  45. Ogbuanya, T.C.; Yekinni, S.A. Analytical investigation of career variables as correlate work stress of electrical/electronic trade teachers in technical colleges. Int. J. Electr. Eng. Educ. 2020. [Google Scholar] [CrossRef]
  46. Chan, E.S.S.; Ho, S.K.; Ip, F.F.L.; Wong, M.W.Y. Self-Efficacy, Work Engagement, and Job Satisfaction Among Teaching Assistants in Hong Kong’s Inclusive Education. SAGE Open 2020, 10. [Google Scholar] [CrossRef]
  47. Lee, M.-J. The Association between Health Teachers’ Stress, Burnout, and Self-Efficacy: A Path Analysis Approach. J. Korea Acad. Ind. Coop. Soc. 2020, 21, 317–325. [Google Scholar] [CrossRef]
  48. Liang, W.; Song, H.; Sun, R. Can a professional learning community facilitate teacher well-being in China? The mediating role of teaching self-efficacy. Educ. Stud. 2020, 1–20. [Google Scholar] [CrossRef]
  49. Hepburn, L.; Beamish, W.; Alston-Knox, C. Classroom management practices commonly used by secondary school teachers: Results from a Queensland survey. Aust. Educ. Res. 2020, 1–21. [Google Scholar] [CrossRef]
  50. Schnaider-Levi, L.; Ganz, A.B.; Zafrani, K.; Goldman, Z.; Mitnik, I.; Rolnik, B.; Lev-Ari, S. The Effect of Inquiry-Based Stress Reduction on Teacher Burnout: A Controlled Trial. Brain Sci. 2020, 10, 468. [Google Scholar] [CrossRef]
  51. Liu, Y.; şükrü, B.M.; Gümüş, S. The Effect of Instructional Leadership and Distributed Leadership on Teacher Self-efficacy and Job Satisfaction: Mediating Roles of Supportive School Culture and Teacher Collaboration. Educ. Manag. Adm. Leadersh. 2020. [Google Scholar] [CrossRef]
  52. Soodan, V.; Rana, A. Effect of occupational and personal stress on job satisfaction, burnout, and health: A cross-sectional analysis of college teachers in Punjab, India. Indian J. Occup. Environ. Med. 2019, 23, 133. [Google Scholar] [CrossRef]
  53. Sönmez, S.; Kolaşınlı, I.B. The effect of preschool teachers’ stress states on classroom climate. Education 2020, 3–13. [Google Scholar] [CrossRef]
  54. Chang, M.-L.; Taxer, J. Teacher emotion regulation strategies in response to classroom misbehavior. Teach. Teach. 2020, 1–17. [Google Scholar] [CrossRef]
  55. Abós, Á.; Sevil-Serrano, J.; Kim, L.E.; Klassen, R.M.; García-González, L. How Should Stressors Be Examined in Teachers? Answering Questions about Dimensionality, Generalizability and Predictive Effects Using the Multicontext Stressors Scale. Int. J. Environ. Res. Public Health 2019, 16, 3388. [Google Scholar] [CrossRef] [Green Version]
  56. Adams, K.; Lumb, A.; Tapp, J.; Paige, R. Whole child, whole teacher: Leadership for flourishing primary schools. Education 2019, 48, 861–874. [Google Scholar] [CrossRef]
  57. Zhang, L.G.; Li, L.; Sun, Y.L. A study of the relationships between occupational stress career calling and occupational burnout among primary teachers. Chin. J. Ind. Hyg. Occup. Dis. 2020, 38, 107–110. [Google Scholar]
  58. Zhao, X.; Ding, S. Phenomenology of Burnout Syndrome and Connection Thereof with Coping Strategies and Defense Mechanisms among University Professors. Eur. J. Investig. Heal. Psychol. Educ. 2019, 10, 8. [Google Scholar] [CrossRef] [Green Version]
  59. Engels, M.C.; Pakarinen, E.; Lerkkanen, M.-K.; Verschueren, K. Students’ academic and emotional adjustment during the transition from primary to secondary school: A cross-lagged study. J. Sch. Psychol. 2019, 76, 140–158. [Google Scholar] [CrossRef] [PubMed]
  60. Hernesniemi, E.; Räty, H.; Kasanen, K.; Cheng, X.; Hong, J.; Kuittinen, M. Students’ achievement motivation in Finnish and Chinese higher education and its relation to perceived teaching-learning environments. Scand. J. Psychol. 2019, 61, 204–217. [Google Scholar] [CrossRef]
  61. Eskelä-Haapanen, S.; Vasalampi, K.; Lerkkanen, M.-K. Students’ Positive Expectations and Concerns Prior to the School Transition to Lower Secondary School. Scand. J. Educ. Res. 2020, 1–14. [Google Scholar] [CrossRef]
  62. Romano, L.; Tang, X.; Hietajärvi, L.; Salmela-Aro, K.; Fiorilli, C. Students’ Trait Emotional Intelligence and Perceived Teacher Emotional Support in Preventing Burnout: The Moderating Role of Academic Anxiety. Int. J. Environ. Res. Public Health 2020, 17, 4771. [Google Scholar] [CrossRef]
  63. Watermeyer, R.; Crick, T.; Knight, C.; Goodall, J. COVID-19 and digital disruption in UK universities: Afflictions and affordances of emergency online migration. High. Educ. 2020, 1–19. [Google Scholar] [CrossRef]
  64. Van Nuland, S.; Mandzuk, D.; Petrick, K.T.; Cooper, T. COVID-19 and its effects on teacher education in Ontario: A complex adaptive systems perspective. J. Educ. Teach. 2020, 1–10. [Google Scholar] [CrossRef]
  65. Mhlanga, D.; Moloi, T. COVID-19 and the Digital Transformation of Education: What Are We Learning on 4IR in South Africa? Educ. Sci. 2020, 10, 180. [Google Scholar] [CrossRef]
  66. Ebner, M.; Schön, S.; Braun, C.; Ebner, M.; Grigoriadis, Y.; Haas, M.; Leitner, P.; Taraghi, B. COVID-19 Epidemic as E-Learning Boost? Chronological Development and Effects at an Austrian University against the Background of the Concept of “E-Learning Readiness”. Futur. Internet 2020, 12, 94. [Google Scholar] [CrossRef]
  67. Tabatabai, S. COVID-19 impact and virtual medical education. J. Adv. Med. Educ. Prof. 2020, 8, 140–143. [Google Scholar] [PubMed]
  68. Kaden, U. COVID-19 School Closure-Related Changes to the Professional Life of a K–12 Teacher. Educ. Sci. 2020, 10, 165. [Google Scholar] [CrossRef]
  69. Valtonen, T.; Kukkonen, J.; Kontkanen, S.; Sormunen, K.; Dillon, P.; Sointu, E. The impact of authentic learning experiences with ICT on pre-service teachers’ intentions to use ICT for teaching and learning. Comput. Educ. 2015, 81, 49–58. [Google Scholar] [CrossRef]
  70. Panangalage, R.; Pasqual, A. Impact of ICT on learning and teaching. In Proceedings of the 2008 IEEE International Symposium on Technology and Society, Fredericton, NB, Canada, 26–28 June 2008; pp. 1–10. [Google Scholar] [CrossRef]
  71. Hennessy, S.; Ruthven, K.; Brindley, S. Teacher perspectives on integrating ICT into subject teaching: Commitment, constraints, caution, and change. J. Curric. Stud. 2005, 37. [Google Scholar] [CrossRef]
  72. Sánchez, J.J.C.; Alemán, E.C. Teachers’ opinion survey on the use of ICT tools to support attendance-based teaching. Comput. Educ. 2011, 56, 911–915. [Google Scholar] [CrossRef]
  73. Drossel, K.; Eickelmann, B. Teachers’ participation in professional development concerning the implementation of new technologies in class: A latent class analysis of teachers and the relationship with the use of computers, ICT self-efficacy and emphasis on teaching ICT skills. Large-Scale Assess. Educ. 2017, 5, 19. [Google Scholar] [CrossRef] [Green Version]
  74. Kafyulilo, A.C.; Keengwe, J. Teachers’ perspectives on their use of ICT in teaching and learning: A case study. Educ. Inf. Technol. 2014, 19, 913–923. [Google Scholar] [CrossRef]
  75. Lubis, M.A.; Ariffin, S.R.; Ibrahim, M.S.; Muhamad, T.A. Teaching and learning process with intergration of ICT - a study on smart schools of Malaysia. WSEAS Trans. Inf. Sci. Appl. 2009, 6, 1380–1390. [Google Scholar]
  76. Kumar, D.; Turner, J. Education for the 21st Century–Impact of Ict and Digital Resources; Springer: New York, NY, USA, 2006. [Google Scholar]
  77. Gilar, R.; Pozo-Rico, T.; Sanchez, B.; Castejon, J.L. Promote learning in emotional competence across an e-learning context for higher education. In Proceedings of the 12th International Technology, Education and Development Conference, Valencia, Spain, 5–7 March 2018; pp. 1374–1380. [Google Scholar]
  78. Gilar, R.; Pozo-Rico, T.; Sanchez, B.; Castejon, J.L. level of satisfaction with the advanced training programme on emotional competence across e-learning system in higher education. In Proceedings of the 12th International Technology, Education and Development Conference, Valencia, Spain, 5–7 March 2018; pp. 1442–1447. [Google Scholar]
  79. Gilar-Corbi, R.; Pozo-Rico, T.; Lorenzo-Lledo, G.; Lorenzo-Lledo, A.; Gutierrez-Fresneda, R. Emotional intelligence training across a massive open on-line course for higher education. In Proceedings of the 13th annual International Technology, Education and Development Conference, Valencia, Spain, 11–13 March 2019; p. 552. [Google Scholar]
  80. Gilar-Corbi, R.; Pozo-Rico, T.; Castejón-Costa, J.L. Desarrollando la Inteligencia Emocional en Educación Superior: Evaluación de la efectividad de un programa en tres países. Educ. XX1 2019, 22, 161–187. [Google Scholar] [CrossRef]
  81. Lim, C.P.; Hung, D.; Wong, P.; Hu, C. The pedagogical design of ICT integration in online learning: A case study. Int. J. Instr. Med. 2004, 31, 37. [Google Scholar]
  82. Voogt, J.; Gorokovatschky, Y.; Pourycheva, N. The integration of ICT in preservice teacher education: A pilot project at three teacher-training colleges in St. Petersburg, Moscow, and Amsterdam. Educ. Technol. Res. Dev. 2000, 48, 121–125. [Google Scholar] [CrossRef]
  83. Grams, S.L.; Jurowetzki, R. Emotions in the Classroom. Deal. Emot. 2015, 3, 81–98. [Google Scholar] [CrossRef]
  84. Soini, T.; Pyhältö, K.; Pietarinen, J. Pedagogical well-being: Reflecting learning and well-being in teachers’ work. Teach. Teach. 2010, 16, 735–751. [Google Scholar] [CrossRef]
  85. Chis, A.; Rusu, A.S. Connecting Emotional Intelligence and Academic Achievement in Adolescence: A Systematic Review. ERD 2016–Educ. Reflect. Dev. Fourth Ed. 2016, 18, 91–100. [Google Scholar] [CrossRef]
  86. Martinez Sanchez, A. Emotional competences and academic performance in students of Primary Education. Psychol. Soc. Educ. 2019, 11, 15–25. [Google Scholar] [CrossRef]
  87. Brenner, S.-O. Health and working conditions of Swedish school teachers 1978. Swed. Natl. Data Serv. SND 2013, 2. [Google Scholar] [CrossRef]
  88. Ebersold, S.; Rahm, T.; Heise, E. Autonomy support and well-being in teachers: Differential mediations through basic psychological need satisfaction and frustration. Soc. Psychol. Educ. 2019, 22, 921–942. [Google Scholar] [CrossRef]
  89. Fernández-Berrocal, P.; Gutiérrez-Cobo, M.J.; Rodriguez-Corrales, J.; Cabello, R. Teachers’ Affective Well-being and Teaching Experience: The Protective Role of Perceived Emotional Intelligence. Front. Psychol. 2017, 8, 8. [Google Scholar] [CrossRef] [Green Version]
  90. König, S.; Dalbert, C. Ungewissheitstoleranz, Belastung und Befinden bei BerufsschullehrerInnen. Z. Entwicklungspsychol. Pädagogische Psychol. 2004, 36, 190–199. [Google Scholar] [CrossRef]
  91. A Maksimov, S.; A Ivanova, O. Working adaptation in brain workers: Sociohygienic aspects. Hyg. Sanit. 2011, 2, 56–60. [Google Scholar]
  92. Pretsch, J.; Flunger, B.; Schmitt, M. Resilience predicts well-being in teachers, but not in non-teaching employees. Soc. Psychol. Educ. 2012, 15, 321–336. [Google Scholar] [CrossRef]
  93. Randler, C.; Luffer, M.; Müller, M. Morningness in Teachers is Related to a Higher Sense of Coherence and Lower Burnout. Soc. Indic. Res. 2014, 122, 595–606. [Google Scholar] [CrossRef]
  94. Stringer, S.; Ouweneel, E.; Le Blanc, P.; Cheriakova, A.; Smulders, J. Emotional labour and psychological well-being in teachers. Gedrag Organ. 2009, 22, 214–231. [Google Scholar]
  95. Caballero-Garcia, P.A.; Villaverde, A.B.; Sanz, E.M.; Martin, E.L. Cooperative Learning as an Experience of Educational Change. In Proceedings of the INTED2012 Proceedings 6th International Technology, Education and Development Conference, Valencia, Spain, 5–7 March 2012; pp. 2474–2481. [Google Scholar]
  96. Navas, J.M.M.; Perez, N.; de la Torre, G.G.; Lozano, J.M.N.; Bozal, R.G. The Development of Emotional Intelligence Optimizing Cognitive Abilities through the Compulsory Education. Contextos Educ. Rev. Educ. 2017, 20, 57–75. [Google Scholar] [CrossRef] [Green Version]
  97. Suprapto, A.; Yossy, E.; Indrianti, Y.S. The Influence of Emotional Intelligence toward Life Satisfaction of Elementary School Teachers (Case Study in South Jakarta Region). In Proceedings of the International Conference on Teacher Training and Education 2017 (ICTTE 2017), Surakarta, Central Java, Indonesia, 7–9 October 2017; pp. 11–23. [Google Scholar]
  98. Maamari, B.E.; Majdalani, J.F. The effect of highly emotionally intelligent teachers on their students’ satisfaction. Int. J. Educ. Manag. 2019, 33, 179–193. [Google Scholar] [CrossRef]
  99. Gilar-Corbi, R.; Pozo-Rico, T.; Pertegal-Felices, M.L.; Sanchez, B. Emotional intelligence training intervention among trainee teachers: A quasi-experimental study. Psicol. Reflexão Crítica 2018, 31, 1–13. [Google Scholar] [CrossRef] [Green Version]
  100. Del Rosal, I.; Moreno-Manso, J.M.; Bermejo, M.L. Emotional intelligence and academic performance in initial training teachers in University of Extremadura. Profr. Rev. Curr. Form. Profr. 2018, 22, 257–275. [Google Scholar]
  101. Viguer, P.; Cantero, M.; Bañuls, R. Enhancing emotional intelligence at school: Evaluation of the effectiveness of a two-year intervention program in Spanish pre-adolescents. Pers. Individ. Differ. 2017, 113, 193–200. [Google Scholar] [CrossRef]
  102. Llamazares, M.D.E.; Cruz, T.D.; Garcia, J.H.; Camara, C.P. Emotional Education in Early Childhood Education Teachers: A Key Aspect in Teaching Performance. Contextos Educ. Rev. Educ. 2017, 20, 113–125. [Google Scholar] [CrossRef] [Green Version]
  103. Heim, D.K.; Sandmeier, A.; Hänggi, Y.; Safi, N.; Cina, A. Training zum Umgang mit Unterrichtsstörungen: Effekte auf die Gesundheit von Lehrkräften. Z. Erzieh. 2019, 22, 925–944. [Google Scholar] [CrossRef] [Green Version]
  104. Mesurado, B.; Laudadío, J. Experiencia profesional, capital psicológico y engagement. Su relación con el burnout en docentes universitarios. Propósitos Represent. 2019, 7, 12–40. [Google Scholar] [CrossRef] [Green Version]
  105. Pogere, E.F.; López-Sangil, M.C.; García-Señorán, M.M.; González, A. Teachers’ job stressors and coping strategies: Their structural relationships with emotional exhaustion and autonomy support. Teach. Teach. Educ. 2019, 85, 269–280. [Google Scholar] [CrossRef]
  106. Rychert, M.; Diesfeld, K. Teachers’ Health, Wellbeing and Professional Misconduct. An Exploratory Analysis of Cases from New Zealand’s Teachers Disciplinary Tribunal 2017–2018. J. Law Med. 2019, 26, 922–942. [Google Scholar] [PubMed]
  107. Levenstein, S.; Prantera, C.; Varvo, V.; Scribano, M.; Berto, E.; Luzi, C.; Andreoli, A. Development of the perceived stress questionnaire: A new tool for psychosomatic research. J. Psychosom. Res. 1993, 37, 19–32. [Google Scholar] [CrossRef]
  108. Sanz-Carrillo, C.; Garcıa-Campayo, J.; Rubio, A.; Santed, M.; Montoro, M. Validation of the Spanish version of the Perceived Stress Questionnaire. J. Psychosom. Res. 2002, 52, 167–172. [Google Scholar] [CrossRef]
  109. Cohen, S.; Kamarck, T.; Mermelstein, R. A Global Measure of Perceived Stress. J. Health Soc. Behav. 1983, 24, 385. [Google Scholar] [CrossRef]
  110. Remor, E. Psychometric Properties of a European Spanish Version of the Perceived Stress Scale (PSS). Span. J. Psychol. 2006, 9, 86–93. [Google Scholar] [CrossRef] [Green Version]
  111. Salanova, M.; Llorens, S.; Cifre, E. The dark side of technologies: Technostress among users of information and communication technologies. Int. J. Psychol. 2013, 48, 422–436. [Google Scholar] [CrossRef] [Green Version]
  112. Maslach, C.; Jackson, S.E.; Leiter, M.P.; Schaufeli, W.B.; Schwab, R.L. Maslach Burnout Inventory; Consulting Psychologists Press: Palo Alto, CA, USA, 1986; Volume 21. [Google Scholar]
  113. Seisdedos, N. Inventario Burnout de Maslach: Síndrome del Quemado por Estrés Laboral Asistencial. [Maslach Burnout Inventory: Burnout Syndrome due to Stress in the Helping Professions]; TEA: Madrid, España, 1997. [Google Scholar]
  114. Castejón, J.L.; Cantero, M.P.; Pérez, N. Diferencias en el perfil de competencias socio-emocionales en estudiantes universitarios de diferentes ámbitos científicos. Electron. J. Res. Educ. Psychol. 2017, 6, 339–362. [Google Scholar] [CrossRef] [Green Version]
  115. Hair, J.F.; Anderson, R.E.; Tatham, R.L.; Black, W.C. Análisis Multivariante; Prentice Hall: Madrid, Spain, 1999; Volume 491. [Google Scholar]
  116. Eddy, C.L.; Herman, K.C.; Reinke, W.M. Single-item teacher stress and coping measures: Concurrent and predictive validity and sensitivity to change. J. Sch. Psychol. 2019, 76, 17–32. [Google Scholar] [CrossRef] [PubMed]
  117. Montgomery, C.; Rupp, C.M.A. A Meta-Analysis for Exploring the Diverse Causes and Effects of Stress in Teachers. Can. J. Educ. Rev. Can. L’Éduc. 2005, 28, 458. [Google Scholar] [CrossRef] [Green Version]
  118. Corbin, C.M.; Alamos, P.; Lowenstein, A.E.; Downer, J.T.; Brown, J.L. The role of teacher-student relationships in predicting teachers’ personal accomplishment and emotional exhaustion. J. Sch. Psychol. 2019, 77, 1–12. [Google Scholar] [CrossRef] [PubMed]
  119. Supervía, P.U.; De Zaragoza, U.; Bordás, C.S.; Abad, J.J.M. Relaciones entre la inteligencia emocional, el burnout académico y el rendimiento en adolescentes escolares. CES Psicol. 2020, 13, 125–139. [Google Scholar] [CrossRef]
  120. Chacón-Cuberos, R.; Martínez, A.M.; García-Garnica, M.; Pistón-Rodríguez, M.D.; López, J.E. The Relationship between Emotional Regulation and School Burnout: Structural Equation Model According to Dedication to Tutoring. Int. J. Environ. Res. Public Health 2019, 16, 4703. [Google Scholar] [CrossRef] [Green Version]
  121. Von Der Embse, N.; Ryan, S.V.; Gibbs, T.; Mankin, A. Teacher stress interventions: A systematic review. Psychol. Sch. 2019, 56, 1328–1343. [Google Scholar] [CrossRef]
  122. Brady, J.; Wilson, E. Teacher wellbeing in England: Teacher responses to school-level initiatives. Camb. J. Educ. 2020, 1–19. [Google Scholar] [CrossRef]
  123. Chen, J. Research Review on Teacher Emotion in Asia Between 1988 and 2017: Research Topics, Research Types, and Research Methods. Front. Psychol. 2019, 10, 10. [Google Scholar] [CrossRef]
  124. Valente, S.; University of Évora (CIEP-UE); Lourenço, A.A.; Alves, P.; Dominguez-Lara, S.A.; School Group Alexandre Herculano—Porto; Education and Community Intervention (RECI); University of San Martín de Porres. The role of the teacher’s emotional intelligence for efficacy and classroom management. CES Psicol. 2020, 13, 18–31. [Google Scholar] [CrossRef]
  125. Gilar-Corbi, R.; Pozo-Rico, T.; Sanchez, B.; Castejon, J.-L. Can emotional intelligence be improved? A randomized experimental study of a business-oriented EI training program for senior managers. PLoS ONE 2019, 14, e0224254. [Google Scholar] [CrossRef]
  126. Pozo-Rico, T.; Gilar, R.; Castejón, J. Developing Emotional Competence Training for University Students in Argentina and Spain. In Proceedings of the 10th International Technology, Education and Development Conference (INTED), Valencia, Spain, 7–9 March 2016; IATED Academy: Valencia, Spain, 2016. [Google Scholar]
  127. Pozo-Rico, T.; Gilar, R.; Castejon, L. A Virtual Learning Community Supporting the Emotional Competence Program in Higher Education. In Proceedings of the 10th International Technology, Education and Development Conference (INTED), Valencia, Spain, 7–9 March 2016; IATED Academy: Valencia, Spain, 2016. [Google Scholar]
  128. Pozo-Rico, T.; Gilar-Corbi, R.; Lorenzo-Lledo, A.; Lorenzo-Lledo, G.; Sanchez, B. Level of satisfaction with the advanced training programme on emotional competence across e-learning system in higher education. In Proceedings of the 13th International Technology, Education and Development Conference (INTED), Valencia, Spain, 11–13 March 2019; IATED Academy: Valencia, Spain, 2019. [Google Scholar]
  129. Pozo-Rico, T.; Sanchez Sanchez, B.; Castejon Costa, J.L.; Gilar Corbi, R. Training Course on Emotional Intelligence: The Experience of Emotional Intelligence in a Secondary Education Project. Rev. Publ. 2018, 48, 235–255. [Google Scholar] [CrossRef]
  130. Pozo-Rico, T.; Sandoval, I. Can Academic Achievement in Primary School Students Be Improved Through Teacher Training on Emotional Intelligence as a Key Academic Competency? Front. Psychol. 2020, 10. [Google Scholar] [CrossRef] [PubMed]
  131. Rajendran, N.; Watt, H.M.G.; Richardson, P.W. Teacher burnout and turnover intent. Aust. Educ. Res. 2020, 47, 477–500. [Google Scholar] [CrossRef]
  132. Pyhältö, K.; Pietarinen, J.; Haverinen, K.; Tikkanen, L.; Soini, T. Teacher burnout profiles and proactive strategies. Eur. J. Psychol. Educ. 2020, 1–24. [Google Scholar] [CrossRef] [Green Version]
  133. Toropova, A.; Myrberg, E.; Johansson, S. Teacher job satisfaction: The importance of school working conditions and teacher characteristics. Educ. Rev. 2020, 1–27. [Google Scholar] [CrossRef] [Green Version]
  134. del Mar Ferradas, M.; Freire, C.; Garcia-Bertoa, A.; Carlos Nunez, J.; Rodriguez, S. Teacher Profiles of Psychological Capital and Their Relationship with Burnout. Sustainability 2019, 11, 5096. [Google Scholar] [CrossRef] [Green Version]
  135. Bottiani, J.H.; Duran, C.A.; Pas, E.T.; Bradshaw, C.P. Teacher stress and burnout in urban middle schools: Associations with job demands, resources, and effective classroom practices. J. Sch. Psychol. 2019, 77, 36–51. [Google Scholar] [CrossRef]
  136. Ramberg, J.; Låftman, S.B.; Åkerstedt, T.; Modin, B. Teacher Stress and Students’ School Well-being: The Case of Upper Secondary Schools in Stockholm. Scand. J. Educ. Res. 2019, 64, 816–830. [Google Scholar] [CrossRef] [Green Version]
  137. Song, Y.-O. Analysis of Trends in Research on Instruction Models for ICT Teaching and Learning. J. Digit. Converg. 2014, 12, 539–548. [Google Scholar] [CrossRef] [Green Version]
  138. Eom, W. Analysis on Teacher’s Individual CharacteristicsAffecting ICT Use in Elementary Classroom Teaching. J. Korean Assoc. Educ. Inf. Med. 2006, 12, 5–22. [Google Scholar]
  139. Falcinelli, F.; Laici, C. Beliefs and expectations of teachers on digital competence and the use of ict in teaching. In Proceedings of the 8th International Technology, Education and Development Conference (INTED), Valencia, Spain, 10–12 March 2014; IATED Academy: Valencia, Spain, 2014. [Google Scholar]
  140. Kumbar, S.S.; Bidnurkar, A.; Tamhane, K.N.; Kumbar, R.B. Case Study on need of ICT in Teaching Learning Process. J. Eng. Educ. Transform. 2018, 32, 7–11. [Google Scholar]
  141. Lee, S.; Su-Hong, P. A Case Study on the Goal-Based Scenario Teaching.learning Method for ICT Applications in Education. J. Educ. Technol. 2010, 26, 217–250. [Google Scholar] [CrossRef]
  142. Domingo Coscollola, M.; Marques Graells, P. Classroom 2.0 Experiences and Building on the Use of ICT in Teaching. Comunicar 2011, 19, 169–174. [Google Scholar] [CrossRef]
  143. de Sousa, L.; van Eeden, E.S. Clear-cut to high-tech: History Teaching and Learning Support Material (TLSM) drawing on Information and Communication Technology (ICT). Yesterday Today 2009, 4, 17–40. [Google Scholar]
  144. Budiawan, A.; Vebrianto, R.; Radeswandri. Development of Teaching Material of Final Assignment Subject Based on PBL Using ICT. J. Phys. Conf. Ser. 2019, 1424, 012035–012038. [Google Scholar] [CrossRef]
  145. Hyeonjin; L. The Effect of Information and Communication Technology(ICT) in Korea Elementary Education on the Transformation of Teaching and Learning Culture. J. Educ. Technol. 2007, 23, 155–186. [Google Scholar] [CrossRef]
  146. Grigoropoulos, A.K.; Ioannidis, G.S. Primary School Student Ideas on Optics and Vision as Part of a Constructivist Teaching Involving Streaming Educational Video-Clips and ICT. Harmon. Search Nat. Inspired Optim. Algorithms 2019, 29, 803–814. [Google Scholar]
  147. López, Z. El diseño de materiales didácticos sobre TIC para una enseñanza universitaria inclusiva y online. Rev. Int. Comun. Desarro. (RICD) 2018, 2, 30–41. [Google Scholar] [CrossRef]
  148. Colas Bravo, M.P.; de Pablos Pons, J.; Ballesta Pagan, J. The Impact of ICT on Teaching in the Spanish Education System: A Literature Review. Red-Rev. Educ. Distancia 2018, 56, 1–23. [Google Scholar] [CrossRef]
  149. Haiyan, H.; Munyengabe, S.; Yiyi, Z.; Hitimana, S. Primary Teachers’ Perceptions on ICT Integration for Enhancing Teaching and Learning through the Implementation of One Laptop Per Child Program in Primary Schools of Rwanda. Eurasia J. Math. Sci. Technol. Educ. 2017, 13, 7193–7204. [Google Scholar] [CrossRef]
  150. Gavilondo Rodriguez, C.E. ICT in the teaching process: Reflections on its application. Question 2017, 1, 256–273. [Google Scholar]
  151. Wittayanakorn, N.; Weng Nga, V.D.; Sobana, M.; Ahmad Bahuri, N.F.; Baticulon, R.E. COVID-19’s Impact on Neurosurgical Training in Southeast Asia. World Neurosurg. 2020, 20, 1–14. [Google Scholar] [CrossRef] [PubMed]
  152. MacDonald, C.W.; Lonnemann, E.; Petersen, S.M.; Rivett, D.A.; Osmotherly, P.G.; Brismee, J.M. COVID 19 and manual therapy: International lessons and perspectives on current and future clinical practice and education. J. Man. Manip. Ther. 2020, 28, 134–145. [Google Scholar] [CrossRef] [PubMed]
  153. Nuere, S.; De Miguel, L. The Digital/Technological Connection with COVID-19: An Unprecedented Challenge in University Teaching. Technol. Knowl. Learn. 2020, 1–13. [Google Scholar] [CrossRef]
  154. Schneider, S.L.; Council, M.L. Distance learning in the era of COVID-19. Arch. Dermatol. Res. 2020, 1–2. [Google Scholar] [CrossRef]
  155. Alturise, F. Difficulties in Teaching Online with Blackboard Learn Effects of the COVID-19 Pandemic in the Western Branch Colleges of Qassim University. Int. J. Adv. Comput. Sci. Appl. 2020, 11, 74–81. [Google Scholar] [CrossRef]
  156. Kim, J. Learning and Teaching Online During Covid-19: Experiences of Student Teachers in an Early Childhood Education Practicum. Int. J. Early Child. 2020, 52, 145–158. [Google Scholar] [CrossRef]
Figure 1. Estimated marginal means for (a1) total PSQ scores and (a2) total PSS scores (stress levels); (b1) Emotional exhaustion scores, (b2) Depersonalization scores, and (b3) Personal accomplishment scores on the MBI (burnout levels); (c) total RED questionnaire scores (ICT competency); and (d) total EQ-i scores (EI competency).
Figure 1. Estimated marginal means for (a1) total PSQ scores and (a2) total PSS scores (stress levels); (b1) Emotional exhaustion scores, (b2) Depersonalization scores, and (b3) Personal accomplishment scores on the MBI (burnout levels); (c) total RED questionnaire scores (ICT competency); and (d) total EQ-i scores (EI competency).
Ijerph 17 08633 g001aIjerph 17 08633 g001b
Table 1. Teacher Training Program.
Table 1. Teacher Training Program.
WEEKTOPICMETHODOLOGY
1Presentation of the teacher training program and description of its four key strategies: (1) coping with stress; (2) preventing burnout; (3) improving ICT competency; (4) improving EI competency.E-learning discussion forum on the topics of the training and their implementation in the classroom.
2Teaching methodologies to manage stress and prevent burnout in educational contexts during adverse social/health circumstances: practical teacher tools.Practical activity involving real implementation of practical teacher tools (learned in the training) into classroom teaching, and discussion of results obtained as a strategic response to the pandemic.
3The possibilities offered by ICT in educational contexts for overcoming adverse educational and socio-sanitary conditions.E-learning circle discussion of the usefulness of ICT for teachers in fighting the psychological and academic impacts of COVID-19 on the educational community.
4Principles of ICT methodologies and their association with key concepts and educational innovations applied to classroom challenges.Case studies on the pedagogical design of ICT integration and technological pedagogical content knowledge to reducing workloads and transform the educational process.
5Lesson planning and evaluation strategies based on ICT methodologies: pedagogical practices given a set of adverse conditions.Incorporating problem-based, project-based, and inquiry-based learning and design thinking into teaching plans as common pedagogical practices applied to classroom challenges.
6ICT-based innovations and game-based e-learning methodologies to promote a high-quality teaching/learning environment in primary educationE-learning infographics about successful implementations of approaches curriculum changes based on game-based learning methods and strategies.
7Understanding emotions: practical teacher tools to improve academic self-esteem, self-realization, and emotional awareness in adverse conditions.Educational teacher practice based on implementing EI into teaching to improve understanding of students’ motivation, learning, and performance.
8Identifying emotions: practical teacher tools to improve intrapersonal and interpersonal relationships, empathy, and social responsibility in crisis scenarios.Designing learning environments to foster high EI in the classroom (e.g., guidance in communication and relationships to create a positive classroom atmosphere).
9Expressing emotions: practical teacher tools to improve student/teacher communication about feelings related to adverse situations.E-learning discussion of the results of implementing teacher practices based on expressing emotions; intended to make teaching feel present despite the use of e-leaning environments given current circumstances.
10Using the power of positive emotions in difficult times to develop the teaching profession.Breakdown of blended learning to design and deliver curricula based on wholesome and purposeful teaching/learning experiences to promote well-being in the educational community.
11EI strategies and their effectiveness in frontline teacher work in the schools: innovative and successful teaching methodologies and educational plans.Online stocktaking of the influence of EI strategies on motivation, use of cognitive and metacognitive learning approaches, performance, and overall learning, and their impact on developing educational policies and plans.
12EI in teachers: training, strategies, and resources to promote positive emotions in the classroom to face and solve challenges.Online brainstorming of teachers’ key EI experiences/achievements and their adaptive effects on learning and performance.
13Psychological well-being in the teaching community during adverse and health emergency circumstances: strategies and resources.Discussion forum to reflect on key strategies and resources to raise psychological well-being and increase satisfaction with the work environment in adverse circumstances.
14Teacher commitment and definition of future action plans.Discussion and debate on real experiences in frontline teacher work after implementing strategies from the teacher training program: theoretical and practical implications and future development needs.
Table 2. Student’s t-test results for difference in mean scores (before training).
Table 2. Student’s t-test results for difference in mean scores (before training).
VariablestglSig.DifferenceSD
Harassment–Social acceptance−1.181390.24−0.130.11
Overload−1.361390.18−0.160.12
Irritability–tension–fatigue−1.461390.15−0.160.11
Energy–joy−0.881390.38−0.100.12
Fear–anxiety−1.741390.08−0.230.13
Self-realization–satisfaction−1.961390.05−0.250.13
PSQ total−1.431390.15−0.050.04
PSS total−1.261390.21−3.022.38
Skepticism−1.271390.21−1.281.01
Fatigue−1.381390.17−1.250.91
Anxiety−1.131390.26−0.980.87
Inefficiency−1.131390.26−0.980.87
RED questionnaire total−1.241390.22−4.493.62
Emotional exhaustion−1.091390.27−2.502.28
Depersonalization−1.431390.15−1.581.12
Personal accomplishment1.471390.142.021.37
Intrapersonal intelligence1.231390.222.121.73
Interpersonal intelligence0.721390.471.251.72
Stress management1.031390.311.411.37
Adaptation1.241390.221.471.19
Humor1.051390.291.841.74
EQ-I total1.091390.281.621.49
Age0.741390.460.871.17
Teaching experience0.751390.460.861.15
Gender0.761390.940.010.08
Table 3. Results of intra-/intersubject univariate ANOVA.
Table 3. Results of intra-/intersubject univariate ANOVA.
Area ExaminedSourceType IIIdfFSig.Partial η2Ob.
Power
Stress levels
(Perceived Stress Questionnaire)
Harassment–social acceptanceIntra23.151187.830.000.571.00
Intra*Inter18.241147.990.000.521.00
Error intra17.13139
Inter1413.3612342.700.000.941.00
Condition9.94116.480.000.110.98
Error inter83.86139
OverloadIntra20.081133.210.000.491.00
Intra*Inter17.271114.570.000.451.00
Error intra20.95139
Inter1409.2312313.210.000.941.00
Condition7.93113.010.000.090.95
Error inter84.68139
Irritability–tension–fatigueIntra21.321167.180.000.551.00
Intra*Inter21.221166.330.000.541.00
Error intra17.73139
Inter1415.5012570.140.000.951.00
Condition10.46119.000.000.120.99
Error inter76.55139
Energy–joyIntra17.521121.910.000.471.00
Intra*Inter17.131119.170.000.461.00
Error intra19.98139
Inter1413.6812277.940.000.941.00
Condition10.70117.230.000.110.98
Error inter86.26139
Fear–anxietyIntra17.41186.490.000.381.00
Intra*Inter23.261115.550.000.451.00
Error intra27.98139
Inter1439.5111986.800.000.941.00
Condition8.51111.740.000.080.93
Error inter100.71139
Self-realization–satisfactionIntra19.001107.030.000.441.00
Intra*Inter20.051112.920.000.451.00
Error intra24.68139
Inter1433.0312009.570.000.941.00
Condition5.7218.020.010.050.80
Error inter99.12139
PSQ totalIntra2.291200.510.000.591.00
Intra*Inter2.151188.180.000.581.00
Error Intra1.59139
Inter48.211763.830.000.851.00
Condition1.04116.460.000.110.98
Error inter8.77139
Stress levels
(Perceived Stress Scale)
PSS totalIntra11,816.551248.920.000.641.00
Intra*Inter12,840.511270.490.000.661.00
Error intra6598.42139
Inter18,0340.591683.030.000.831.00
Condition7739.95129.320.000.171.00
Error inter36,700.04139
ICT competency
(RED questionnaire)
SkepticismIntra949.571212.560.000.611.00
Intra*Inter857.191191.880.000.581.00
Error intra620.95139
Inter21,107.471372.520.000.731.00
Condition342.3016.040.020.040.69
Error inter7876.02139
FatigueIntra778.601219.210.000.611.00
Intra*Inter909.041255.940.000.651.00
Error intra493.70139
Inter20,503.901403.650.000.741.00
Condition386.0217.600.010.050.78
Error inter7060.62139
AnxietyIntra271.20165.520.000.321.00
Intra*Inter1461.331353.06.000.721.00
Error intra575.32139
Inter23,137.471592.800.000.811.00
Condition900.30123.070.000.141.00
Error inter5425.28139
InefficiencyIntra277.16165.830.000.321.00
Intra*Inter1475.111350.370.000.721.00
Error intra585.21139
Inter23,082.771588.250.000.811.00
Condition911.13123.220.000.141.00
Error inter5454.34139
RED questionnaire totalIntra8433.611163.860.000.541.00
Intra*Inter18,513.041359.690.000.721.00
Error intra7154.24139
Inter351,075.341482.470.000.781.00
Condition9670.52113.290.000.090.95
Error inter101,144.47139
Burnout levels
(Maslach Burnout Inventory)
Emotional exhaustionIntra4088.171231.100.000.621.00
Intra*Inter4225.401238.850.000.631.00
Error intra2458.97139
Inter107,684.191376.510.000.731.00
Condition1936.0716.770.010.050.73
Error inter39755.41139
DepersonalizationIntra663.431135.980.000.501.00
Intra*Inter2168.791444.540.000.761.00
Error intra678.15139
Inter35,342.121535.690.000.791.00
Condition1098.58116.650.000.110.98
Error inter9170.58139
Personal accomplishment
Intra1201.031126.300.000.481.00
Intra*Inter1120.471117.820.000.461.00
Error intra1321.84139
Inter376,330.3013922.130.000.971.00
Condition272.2012.840.090.020.39
Error inter13,337.13139
Emotional Intelligence Scores
(Emotional Quotient Inventory)
Intrapersonal intelligenceIntra1972.74160.270.000.301.00
Intra*Inter4379.091133.790.000.491.00
Error intra4549.55139
Inter355,852.1613431.150.000.961.00
Condition2332.50122.490.000.141.00
Error inter14,415.99139
Interpersonal intelligenceIntra2083.50169.780.000.331.00
Intra*Inter4002.531134.060.000.491.00
Error intra4150.13139
Inter359,951.4213237.000.000.961.00
Condition2786.40125.060.000.151.00
Error inter15,456.67139
Stress managementIntra3244.441166.650.000.551.00
Intra*Inter5146.921264.370.000.661.00
Error intra2706.19139
Inter175,000.0712782.860.000.951.00
Condition3587.34157.050.000.291.00
Error inter8741.03139
AdaptationIntra2181.241149.900.000.521.00
Intra*Inter3765.981258.810.000.651.00
Error intra2022.64139
Inter134,588.5612796.800.000.951.00
Condition2399.97149.870.000.261.00
Error inter6689.02139
HumorIntra4565.041148.180.000.521.00
Intra*Inter7978.821259.000.000.651.00
Error intra4282.12139
Inter278,026.7412693.190.000.951.00
Condition5459.25152.880.000.281.00
Error inter14349.40139
EQ-I totalIntra2730.891123.440.000.471.00
Intra*Inter4952.621223.870.000.621.00
Error intra3075.04139
Inter251,796.9413329.370.000.961.00
Condition3222.90142.620.000.241.00
Error inter105,12.43139
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Pozo-Rico, T.; Gilar-Corbí, R.; Izquierdo, A.; Castejón, J.-L. Teacher Training Can Make a Difference: Tools to Overcome the Impact of COVID-19 on Primary Schools. An Experimental Study. Int. J. Environ. Res. Public Health 2020, 17, 8633. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17228633

AMA Style

Pozo-Rico T, Gilar-Corbí R, Izquierdo A, Castejón J-L. Teacher Training Can Make a Difference: Tools to Overcome the Impact of COVID-19 on Primary Schools. An Experimental Study. International Journal of Environmental Research and Public Health. 2020; 17(22):8633. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17228633

Chicago/Turabian Style

Pozo-Rico, Teresa, Raquel Gilar-Corbí, Andrea Izquierdo, and Juan-Luis Castejón. 2020. "Teacher Training Can Make a Difference: Tools to Overcome the Impact of COVID-19 on Primary Schools. An Experimental Study" International Journal of Environmental Research and Public Health 17, no. 22: 8633. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17228633

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop