The omitted variable : could DuoTest enable a new way to assess the link between individual and team performance in team-based learning ?
2021
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Title
The omitted variable : could DuoTest enable a new way to assess the link between individual and team performance in team-based learning ?
Author(s)
Bonazzi, Riccardo (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Rouiller, Yviane (Haute Ecole Pédagogique du Valais, Switzerland)
Rouiller, Yviane (Haute Ecole Pédagogique du Valais, Switzerland)
Date
2021-01
Published in
Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS)
Publisher
Virtual conference, 4-8 January 2021
Pagination
Pp. 84-93
Presented at
54th Hawaii International Conference on System Sciences (HICSS), Online, 2021-01-04, 2021-01-08, Imagine a class of students being allowed to do their final exam twice in a row: the first time, participants do their exam individually and with closed books (Exa01); the second time, they solve the same exam in groups and with open books (Exa02). If you think that all students will get a better grade in the second exam, you would be surprised by the results. This article is part of an ongoing project to develop a method for team-based learning named Testudo. We present an assessment technique called DuoTest, which uses a mixed model to (a) analyze data from individual and group exams and (b) determine the positive (or negative) effect of each team over the individual performances. Empirical results collected from 70 students show that individual exams are a weak predictor of the group scores, whereas fixed effects associated to each team are a better predictor of Exa02.
ISBN
978-0-9981331-4-0
Paper type
published full paper
Faculty
Economie et Services
School
HEG-VS
Institute
Institut Entrepreneuriat & Management
Record Appears in
Conference materials
Global
Global
External resources
Online version