GenAI agent embedded in VIPE small-group processes as an instructional component¶
Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 design),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
The element is a generative artificial intelligence-based agent (genAI agent) placed into the small group processes of student teams during a session of a well-established virtual interprofessional education methodology. The article describes it as "this novel genAI tool" whose "integration into each student team was an intentional pedagogical technique". Its purpose is to introduce controversy and counter groupthink in newly formed interprofessional teams engaged in collaborative problem-based learning.
Design Implications¶
Context¶
Requirements¶
- Integration into each student team's small-group processes during a VIPE problem-based learning session
Constraints¶
- Designed for newly formed student teams that rapidly come together in VIPE sessions
Target Learners¶
- Interprofessional health professions students
Learning Goals¶
- Collaborative problem-based learning
- Countering groupthink in team decision processes
Claims¶
- Genai Controversial Viewpoints Counter Groupthink [+M]
- Genai Agent Vipe Small Groups Counters Groupthink [+M]
Related Designs¶
Examples¶
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Key Sources¶
- Wiss, A., Showstark, M., Dobbeck, K., Pattershall-Geide, J., Zschaebitz, E., Joosten-Hagye, D., … Embry, E. (2025). Utilizing Generative AI to Counter Learner Groupthink by Introducing Controversy in Collaborative Problem-Based Learning Settings. Online Learning, 29(3), 39–65. https://doi.org/10.24059/olj.v29i3.5096
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
genai-agent-vipe-small-group-element |
title |
GenAI agent embedded in VIPE small-group processes as an instructional component |
description |
The element is a generative artificial intelligence-based agent (genAI agent) placed into the small group processes of student teams during a session of a well-established virtual interprofessional education methodology. |
status |
review |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — wiss-2025 |
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