Problem
Research questions and friction points this paper is trying to address.
AI learning tools
student engagement
classroom behavior
active participation
AI discussion partner
How assigned AI use before class shapes active student engagement in class
🤖 AI Summary
Existing research on AI in education predominantly focuses on examination performance, largely overlooking its impact on real-time classroom learning behaviors. This study addresses this gap through a preregistered randomized controlled trial that assigns customized voice-based AI discussion partners to MBA students for pre-class preparation. By targeting classroom participation as a critical intermediate learning outcome, the research investigates the deeper effects of AI on interactive behaviors. Results indicate that after only two interactions with the AI partner, students’ voluntary classroom contributions increased by approximately 31%, alongside significant improvements in speaking comfort and perceived learning effectiveness. This work bridges a notable empirical gap in AI-enhanced education, elucidating an effective pathway through which voice-based AI tools can foster meaningful classroom interaction.
📝 Abstract
AI learning tools are rapidly entering classrooms, but evidence about whether they help students learn is mixed and rests mostly on test scores. Comparatively less research addresses whether the use of AI changes students' live learning behaviors in class. Here, we report the results of a preregistered field experiment with 759 MBA students enrolled in ten sections of a course, in which each student was randomly assigned two of ten class sessions to prepare for with a purpose-built voice-based AI discussion partner. After two uses of the AI discussion partner, students made about 31% more voluntary contributions in each later class session. Students who used the AI discussion partner more also reported greater comfort speaking up and greater perceived learning, but not greater focus or motivation. These findings suggest that repeated practice with a voice-based AI partner can meaningfully increase students' engagement in class discussion, enhancing a critical intermediate learning outcome.
Innovation
Methods, ideas, or system contributions that make the work stand out.
voice-based AI
active student engagement
preregistered field experiment
AI discussion partner
classroom interaction
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