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

Fariborz M. Tehrani, Christopher McComb and Sherrianna Scott
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Fariborz M. Tehrani: Department of Civil and Geomatics Engineering, Lyles College of Engineering, California State University, Fresno, CA 93740, USA
Christopher McComb: School of Engineering Design, Technology and Professional Programs, The Pennsylvania State University, University Park, PA 16802, USA
Sherrianna Scott: Department of Liberal Studies, Kremen School of Education and Human Development, California State University, Fresno, CA 93740, USA

Stats, 2021, vol. 4, issue 1, 1-16

Abstract: 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.

Keywords: higher engineering education; extended situational teaching; quantitative approach; situational leadership; statistical analysis (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2021
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