Comparative Analysis of Two Teaching Methods for Large Classes (Research paper).

Autor: Westergaard Clausen, Lauge Peter, Mendoza, Redante, Bazylak, Jason, Hansen, Steffen Foss
Zdroj: Proceedings of the ASEE Annual Conference & Exposition; 2019, p7610-7621, 12p
Abstrakt: Background Studying engineering has never been more popular and the societal need for engineering skills is immense. As a consequence, we are accepting more students into many of our programs. Purpose To identify criteria for good practices within large class teaching and to evaluate two selected large class teaching methods (TMs) namely Active Learning Exercises (ALEx) and Team-Based Learning (TBL), against these criteria. Design/Method First, the criteria for good teaching were identified via a literature review and include promoting active learning and meeting diverse ways of learning. Students and instructors involved in two different courses at Nanyang Technical University Singapore (NTU Singapore) and University of Toronto (UT), each representing a distinct TM, were subsequently surveyed. In the survey, students and instructors were asked to validate how important they found each of the identified criteria for good teaching. They were also asked to evaluate how well the respective TM supports each of these criteria for good teaching. Results and Conclusions The criteria identified via the literature review were considered to be "important" to "very important" by both students and instructors at both universities. TBL performs markedly better than ALEx in this study when it comes to the facilitation of the good teaching criteria, although a direct comparison is difficult as teacher, student and context specific issues are not analogous. In order to validate and further explore the findings of this study, a follow-up research should be completed on a single group of students being taught the same course topic by a single group of teachers using different types of TMs. This would ensure direct comparison between the selected TMs and eliminate potential biases related to differences culture, age of students, course topics taught and teachers individual teaching skills. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index