Journal Article10.48550/arxiv.2401.14915
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 +6 more
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TL;DR: A co-design study to explore the potential of students' AI usage data as a novel material for PBL assessment and found students with different attitudes toward AI exhibited distinct preferences in how to analyze and understand the use of AI.
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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.
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Citations
Sora OpenAI's Prelude: Social Media Perspectives on Sora OpenAI and the Future of AI Video Generation
Reza Hadi Mogavi,Derrick M. Wang,Joseph Tu,Hilda Hadan,Sabrina A. Sgandurra,Pan Hui,Lennart E. Nacke +6 more
TL;DR: Sora OpenAI's potential to revolutionize video creation and gaming, while raising concerns about deepfakes and misinformation.
7
AutoPBL: An LLM-powered Platform to Guide and Support Individual Learners Through Self Project-based Learning
Yihao Zhu,Zhoutong Ye,Yichen Yuan,Wenxuan Tang,Chun Yu,Yuanchun Shi +5 more
- 25 Apr 2025
2
The Dual Role of AI in Online Project-Based Learning at Scale
Chaohua Ou,David Joyner +1 more
- 17 Jul 2025
The Application of AI-Assisted Project-Based Learning to Improve Students' Critical Thinking Skills
Bahrul Alim,Butsiarah Butsiarah,Bahrul Alim,Butsiarah Butsiarah +3 more
Abstract: This study aims to test the effectiveness of applying the Project-Based Learning (PJBL) model supported by Artificial Intelligence (AI) technology in improving the critical thinking skills of students in the Physical Education, Health, and Recreation (PJKR) study program. The study uses a quasi-experimental design with two groups: the experimental group, which receives PJBL-AI-based learning, and the control group, which follows conventional learning based on lectures and guided discussions. The results show that the implementation of the PJBL-AI model significantly improves students' critical thinking skills. The experimental group showed an average posttest score increase of 92.3, while the control group experienced only a small increase, with a posttest score of 85.2. The use of AI in project-based learning also enhanced student engagement in discussions, collaboration, and strengthened their reflective critical thinking process. AI technologies such as ChatGPT and Canva AI helped students in designing, evaluating, and formulating arguments in a more systematic and creative manner. These findings suggest that the combination of PJBL and AI is highly effective in enhancing students' critical thinking skills in the context of physical education, offering practical solutions for improving learning quality.
SelfGauge: An Intelligent Tool to Support Student Self-assessment in GenAI-enhanced Project-based Learning
Zeyu Huang,Shuai Ma,Xiaojuan Ma +2 more
- 13 Oct 2024
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