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Article

A Quantitative Approach to Evaluate the Application of the Extended Situational Teaching Model in Engineering Education

1
Department of Civil and Geomatics Engineering, Lyles College of Engineering, California State University, Fresno, CA 93740, USA
2
School of Engineering Design, Technology and Professional Programs, The Pennsylvania State University, University Park, PA 16802, USA
3
Department of Liberal Studies, Kremen School of Education and Human Development, California State University, Fresno, CA 93740, USA
*
Author to whom correspondence should be addressed.
Received: 20 December 2020 / Revised: 11 January 2021 / Accepted: 12 January 2021 / Published: 13 January 2021
(This article belongs to the Special Issue Applied Statistics in Engineering)
The extended situational teaching model is a variation of situational teaching, which itself has roots in situational leadership. Application of situational leadership in education requires the teacher to lead students through various stages of the learning process. This paper presents the relationship between performance measures of extended situational teaching and common pedagogical tools in engineering classrooms. These relationships outlined the response of students at different preparation levels to the application of various course components, including classroom activities and out-of-classroom assignments, in respect to task and relationship behaviors. The results of a quantitative survey are presented to support the existence of such a relationship and to demonstrate the effectiveness of the extended situational teaching model. The survey covered 476 engineering students enrolled in nine different courses over a four-year period within the civil engineering program. The statistical analysis of the survey responses proceeded in two stages. The first stage of the analysis evaluates whether the survey tool can resolve meaningful differences between the categories of the situational teaching model, and provides aggregate recommendations for each category. In the second stage of the analysis, the specific instantiation of these categories is broken down according to academic standing (grade point average) and academic level, offering support for an extended situational teaching model. Conclusions discuss the statistical characteristics of the results and correlations between selected pedagogical tools and performance measures. View Full-Text
Keywords: higher engineering education; extended situational teaching; quantitative approach; situational leadership; statistical analysis higher engineering education; extended situational teaching; quantitative approach; situational leadership; statistical analysis
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MDPI and ACS Style

Tehrani, F.M.; McComb, C.; Scott, S. A Quantitative Approach to Evaluate the Application of the Extended Situational Teaching Model in Engineering Education. Stats 2021, 4, 46-61. https://0-doi-org.brum.beds.ac.uk/10.3390/stats4010004

AMA Style

Tehrani FM, McComb C, Scott S. A Quantitative Approach to Evaluate the Application of the Extended Situational Teaching Model in Engineering Education. Stats. 2021; 4(1):46-61. https://0-doi-org.brum.beds.ac.uk/10.3390/stats4010004

Chicago/Turabian Style

Tehrani, Fariborz M., Christopher McComb, and Sherrianna Scott. 2021. "A Quantitative Approach to Evaluate the Application of the Extended Situational Teaching Model in Engineering Education" Stats 4, no. 1: 46-61. https://0-doi-org.brum.beds.ac.uk/10.3390/stats4010004

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