An Analytic Comparison of Student-Scheduled and Instructor-Scheduled Collaborative Learning in Online Contexts

Geoffrey L. Herman, Yucheng Jiang, Yueqi Jiang, Seth Poulsen, Matthew West, Mariana Silva

Research output: Contribution to journalConference articlepeer-review

Abstract

Collaborative learning can improve student learning, student persistence, and the classroom climate. While work has documented the tradeoffs of face-to-face collaboration and asynchronous, online learning, the trade-offs between asynchronous (student-scheduled) and synchronous (instructor-scheduled) collaborative and online learning have not been explored. Structured roles can maximize the effectiveness of collaborative learning by helping all students participate, but structured roles have not been studied in online settings. We performed a quasi-experimental study in two courses-Computer Architecture and Numerical Methods-to compare the effects of asynchronous collaborative learning without structured roles to synchronous collaborative learning with structured roles. We use a data-analytics approach to examine how these approaches affected the student learning experience during formative collaborative learning assessments. Teams in the synchronous offering made higher scoring submissions (5-10% points better on average), finished assessments more efficiently (11-16 minutes faster on average), and had greater equality in the total number of submissions each student made (for example, significant increase of 13% in the mean equality score among all groups).

Original languageEnglish (US)
JournalASEE Annual Conference and Exposition, Conference Proceedings
StatePublished - Aug 23 2022
Event129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 - Minneapolis, United States
Duration: Jun 26 2022Jun 29 2022

ASJC Scopus subject areas

  • General Engineering

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