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Influence of Different Intelligence(s) on Teaching-Learning and Academic Achievement

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Psychology of Sustainability and Sustainable Development".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 8499

Special Issue Editors


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Guest Editor
Department of Developmental Psychology and Didactics, University of Alicante, Alicante (06080), Spain
Interests: academic achievement; academic performance; learning process; trainee teacher; aptitudes; intelligence; cross-cultural analysis; motivation and emotion; multiple intelligences; knowledge acquisition; emotional competence training programmes; psychosocial development; underachievement; profile analyses

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Guest Editor
Department of Developmental Psychology and Didactics, University of Alicante, Alicante (06080), Spain
Interests: academic achievement; learning strategies; structural model; aptitudes; intelligence; self-concept; goal orientation; differential aptitudes; multiple intelligences; personality; general mental ability; measurement invariance; factorial invariance; underachievement; construct comparability approach; assessment of achievement; assessment of intelligence; test validation; multidimensional Rasch model; educational evaluation; emotional intelligence

Special Issue Information

Dear Colleagues,

The study of intelligence is one of the most prolific areas of psychology. Both from a theoretical and applied point of view, intelligence is a field in which relevant and significant contributions have been made but, at the same time, important theoretical controversies still persist. However, certain authors uphold the possibility of creating a dialectical synthesis that makes it possible for different theories to coexist and be integrated from both the theoretical and applied perspectives.

The application of intelligence theories to education in general and to the instructional context of the classroom in particular has been, more or less, the explicit goal of those same intelligence theories as well as that of education theorists. In certain cases, broad fields of research have been developed to examine the relations between different intellectual aptitudes and teaching methods, such as the ATI studies; in other cases, instructional implications have been derived from intelligence theories that do not expressly deal with the relationship between intelligence and education. At any rate, whether explicitly or implicitly, directly, or indirectly, educational and instructional implications can be derived from each theory of intelligence.

The main purpose of this Special Issue is to analyze how current notions and aspects of intelligence can be applied to the education of students in the classroom, to the teaching/learning process, and in the improvement of academic achievement at all educative levels.

For this Special Issue, manuscripts that include research employing theories of intelligence belonging to any research approach are welcome, including but not limited to the psychometric perspective, the information processing perspective; the theory of multiple intelligences, the triarchic theory of intelligence, emotional intelligence, and intelligence in context.

This Special Issue encourages submissions that address current issues raised by the research on intelligence(s) and teaching/learning process, both from the theoretical and methodological point of view, and that may generate new insights in this field. The Guest Editors of this Special Issue welcome submissions that address, but are not limited to, the following issues:

  • Measurement of intelligence(s) in academic context
  • Intelligence(s) and variables related to the teaching/learning process and/or academic achievement (theoretical and research models: structural models, reciprocal effects, longitudinal models, mediation / moderation / instrumental variables, multilevel models, etc.)
  • Multicultural studies on intelligence(s) and the teaching/leaning process and/or academic achievement
  • Artificial intelligence and education
  • Synthesis studies, i.e., meta-analyses of intelligence(s) and the teaching/leaning process and/or academic achievement

Prof. Dr. Raquel Gilar-Corbi
Prof. Dr. Juan Luis Castejón Costa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligence(s)
  • intelligence theories
  • teaching variables
  • learning variables
  • academic achievement
  • higher education
  • primary education
  • secondary education
  • artificial intelligence
  • adaptative education
  • dynamic assessment

Published Papers (3 papers)

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Research

27 pages, 1568 KiB  
Article
Predictors of University Attrition: Looking for an Equitable and Sustainable Higher Education
by Jack Vidal, Raquel Gilar-Corbi, Teresa Pozo-Rico, Juan-Luis Castejón and Tarquino Sánchez-Almeida
Sustainability 2022, 14(17), 10994; https://0-doi-org.brum.beds.ac.uk/10.3390/su141710994 - 02 Sep 2022
Cited by 3 | Viewed by 2273
Abstract
The failure and dropout of university studies are issues that worry all nations due to the personal, social, and economic costs that this they entail. Because the dropout phenomenon is complex and involves numerous factors, to reverse it would involve a comprehensive approach [...] Read more.
The failure and dropout of university studies are issues that worry all nations due to the personal, social, and economic costs that this they entail. Because the dropout phenomenon is complex and involves numerous factors, to reverse it would involve a comprehensive approach through interventions aimed at the factors identified as key in the decision to drop out. Therefore, the main objective of this work is to determine the profile of students who enter the EPN (STEM higher-education institution) to analyze the characteristics that differentiate students who drop out early in their career and those who stay in school. A sample of 624 students who accessed the EPN leveling course (a compulsory course at the beginning of their studies) participated in the study. A total of 26.6% of the participants were women. A total of 50.7% of the participants passed the course. Data referring to social, economic, and academic variables were analyzed. Comparison techniques, as well as artificial neural networks, were used to compare characteristic profiles of students who passed the leveling course and those who dropped out. The results showed significant differences between the profiles of the students who passed and those who dropped out with regard to the variables related to previous academic performance and motivational and attributional aspects. The artificial neural networks corroborated the importance of these variables in predicting dropout. In this research, the key variables predicting whether a student continues or leaves higher education are revealed, allowing the identification of students at possible risk of dropping out and thus promoting initiatives to provide adequate academic support and improve student retention. Full article
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21 pages, 579 KiB  
Article
Measurements of Intercultural Teamwork Competence and Its Impact on Design Students’ Competitive Advantages
by Xiu-Yue Zhang, Xu-Guang Zhu, Jui-Che Tu and Minzhe Yi
Sustainability 2022, 14(1), 175; https://0-doi-org.brum.beds.ac.uk/10.3390/su14010175 - 24 Dec 2021
Cited by 2 | Viewed by 3132
Abstract
Main issue: This article aims to measure intercultural teamwork competence and assess its impact on career competitive advantages for design students in order to determine how effective and competitive team members are in culturally diverse settings. Sampling: there were 51 participants (48 effective) [...] Read more.
Main issue: This article aims to measure intercultural teamwork competence and assess its impact on career competitive advantages for design students in order to determine how effective and competitive team members are in culturally diverse settings. Sampling: there were 51 participants (48 effective) in pretesting and 405 (338 effective) in formal testing. Participants were students from three colleges of design in Zhejiang Province of China. Statistical tool: this study used the on-line platform of wenjuanxing (wjx.cn) for data collection and SPSS software for data analysis. Methods: data were collected through on-line questionnaires, and then processed through factor analysis, t-test, and stepwise regression. Results: (1) TWC-CQ scale was formed to measure intercultural teamwork competence; (2) there were no statistically significant differences among participating design students (junior and senior) in intercultural teamwork competencies; (3) key competitive advantage = 0.347 × T-behavioral CQ + 0.232 × T-metacognitive CQ + 0.172 × T-motivational CQ + 0.124 × T-cognitive CQ. Conclusions: intercultural teamwork competence and its positive impact on design students’ competitive advantages could be measured. Implications: theoretical and practical implications were summed up for future studies. Full article
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10 pages, 286 KiB  
Article
Specific Domains of Creativity and Their Relationship with Intelligence: A Study in Primary Education
by Olivia López-Martínez and Antonio José Lorca Garrido
Sustainability 2021, 13(8), 4228; https://0-doi-org.brum.beds.ac.uk/10.3390/su13084228 - 10 Apr 2021
Cited by 4 | Viewed by 2262
Abstract
This study focuses on the relationships between creativity and intelligence. The main objectives of this study are to know the relationship between creativity and intelligence manifested in individuals aged 9 to 12 and to predict the creativity scores from IQ scores. The design [...] Read more.
This study focuses on the relationships between creativity and intelligence. The main objectives of this study are to know the relationship between creativity and intelligence manifested in individuals aged 9 to 12 and to predict the creativity scores from IQ scores. The design of this study is non-experimental with a correlational, cross-sectional, quantitative approach. In order to achieve the stated objectives, several education centres located in Murcia were selected, in which 323 students took part in a creativity test (PIC-N) and a test about intelligence, depending on the educational level (BADYG/E2r or BADYG/E3r). The results obtained were that intelligence (IQ) was related to general creativity and narrative creativity, but not to the specific domain of graphic creativity. In addition, the analyses indicate that scores on general creativity (F (1,321) = 14.302, p < 0.01) and narrative creativity (F (1,321) = 14.114, p < 0.01) can be predicted from the IQ. At the educational level, language is a determining factor in narrative creativity and, in turn, language is consolidated as children’s cognitive development proceeds. Full article
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