The study examined student perceptions of the genAI agent and its integration into team processes¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The mixed-methods study collected findings on student perceptions of the genAI agent and its integration into their team processes. → Wiss 2025

Evidence¶

Wiss 2025¶

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

q2 · i? · design · r2

The article announces that the mixed-methods study reports findings on "student perceptions of the GenAI agent" and "its integration into their team processes". The available text states that these findings are reported but does not print their direction or statistics.

"This study’s findings regarding: student perceptions of the GenAI agent; its integration into their team processes; its influence on team discussion and outcomes; the influence of faculty facilitators on acceptance of the genAI agent;"

Discussion¶

Related Claims¶

• A mixed-methods study addresses groupthink in newly formed student teams by introducing a genAI agent into small-group processes of a VIPE problem-based learning session — a broader claim this one bears on
• Introducing controversial viewpoints via a genAI agent is studied as a mechanism to counter groupthink in collaborative problem-based learning — related
• The study examined the genAI agent's influence on team discussion and outcomes and the influence of faculty facilitators on acceptance of the agent — related
• The genAI tool's integration into each student team was an intentional pedagogical technique targeting factors contributing to groupthink in rapidly formed teams — related
• Student perceptions of AI use in academic work are neutral and range from viewing AI as valid learning assistance to viewing it as cheating, depending on task type, transparency, and assessment design — related
• Student perceptions of LLM influence on collaboration and creativity do not differ significantly by digital familiarity, AI comfort, or prior AI use — related