mlsanityData to 7 Oct 2026

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

arXiv 2401.14915 ↗First posted 26 Jan 2024cs.HC cs.AIcited by 8

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 21 of its 104 references that are in the map. First posted on arXiv 26 Jan 2024.

Builds on

21 of 104 references.

References · 21

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  2. 2023BloombergGPT: A Large Language Model for Financecited by 923
  3. 2023How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detectioncited by 472
  4. 2023A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPTcited by 364
  5. 2021AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Promptscited by 265
  6. 2023Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programmingcited by 87
  7. 2019Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AIcited by 79
  8. 2023Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Makingcited by 67
  9. 2022Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderationcited by 66
  10. 2021IntentVizor: Towards Generic Query Guided Interactive Video Summarizationcited by 18
  11. 2023`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Valuescited by 18
  12. 2023Assigning AI: Seven Approaches for Students, with Promptscited by 16
9 more
  1. 2022Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Workcited by 15
  2. 2023What is in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Educationcited by 14
  3. 2023Storyfier: Exploring Vocabulary Learning Support with Text Generation Modelscited by 12
  4. 2023Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Makingcited by 11
  5. 2023ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summariescited by 7
  6. 2023Challenges and Opportunities in Data Visualization Education: A Call to Actioncited by 6
  7. 2021Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websitescited by 4
  8. 2023Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagramscited by 4
  9. 2020Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associationscited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 4; 2026: 2.

8 papers.