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arxiv 2401.14915 v2 pith:WTV7SHWI submitted 2024-01-26 cs.HC cs.AI

Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students

Chengbo Zheng , Kangyu Yuan , Bingcan Guo , Reza Hadi Mogavi , Zhenhui Peng , Shuai Ma , Xiaojuan Ma This is my paper
classification cs.HC cs.AI
keywords studentslearningco-designfutureproject-basedworkshopsai-enhancedalternative
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The increasing use of Artificial Intelligence (AI) by students in learning presents new challenges for assessing their learning outcomes in project-based learning (PBL). This paper introduces a co-design study to explore the potential of students' AI usage data as a novel material for PBL assessment. We conducted workshops with 18 college students, encouraging them to speculate an alternative world where they could freely employ AI in PBL while needing to report this process to assess their skills and contributions. Our workshops yielded various scenarios of students' use of AI in PBL and ways of analyzing these uses grounded by students' vision of education goal transformation. We also found students with different attitudes toward AI exhibited distinct preferences in how to analyze and understand the use of AI. Based on these findings, we discuss future research opportunities on student-AI interactions and understanding AI-enhanced learning.

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