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

TL;DR

This paper explores how student-generated AI usage data can be integrated into project-based learning assessments through co-design workshops, revealing diverse perspectives and potential analysis methods.

Contribution

It introduces a novel co-design approach to investigate AI data as a new assessment material in PBL, highlighting student perspectives and interaction patterns.

Findings

Students envision alternative AI integration scenarios in PBL.

Distinct attitudes toward AI influence preferred analysis methods.

Potential for AI usage data to transform PBL assessment approaches.

Abstract

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.