research-article

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

Authors:

Reza Hadi Mogavi,

Xiaojuan MaAuthors Info & Claims

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Article No.: 94, Pages 1 - 19

https://doi.org/10.1145/3613904.3642807

Published: 11 May 2024 Publication History

Abstract

Students’ increasing use of Artificial Intelligence (AI) presents new challenges for assessing their mastery of knowledge and skills 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 such usage grounded by students’ vision of how educational goals may transform. We also found that students with different attitudes toward AI exhibited distinct preferences in how to analyze and understand their use of AI. Based on these findings, we discuss future research opportunities on student-AI interactions and understanding AI-enhanced learning.

Supplemental Material

MP4 File - Video Presentation

Video Presentation

Transcript for: Video Presentation

PDF File - Pilot Studies of the Co-design Workshops

This pdf contains descriptions and analysis of our four pilot studies, which motivates our final design of the workshops.

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1.04 MB

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In this article, we highlight the opinions given by teachers at different schools in Spain with regard to project-based learning (PBL). The teachers in question have been involved in various projects that incorporate digital technologies. Our data ...

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cover image ACM Conferences

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

May 2024

18961 pages

ISBN:9798400703300

DOI:10.1145/3613904

Editors:
Florian Floyd Mueller
Monash University
,
Penny Kyburz
The Australian National University
,
Julie R. Williamson
University of Glasgow
,
Corina Sas
Lancaster University
,
Max L. Wilson
University of Nottingham
,
Phoebe Toups Dugas
Monash University/New Mexico State University
,
Irina Shklovski
University of Copenhagen

Copyright © 2024 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 11 May 2024

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Hong Kong University of Science and Technology

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CHI '24

Sponsor:

CHI '24: CHI Conference on Human Factors in Computing Systems

May 11 - 16, 2024

HI, Honolulu, USA

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Tu JNacke LRogers K(2025)Introducing the INSPIRE Framework: Guidelines From Expert Librarians for Search and Selection in HCI LiteratureInteracting with Computers10.1093/iwc/iwaf001Online publication date: 1-Feb-2025
https://doi.org/10.1093/iwc/iwaf001
Ng DChan ELo C(2025)Opportunities, Challenges and School Strategies for Integrating Generative AI in EducationComputers and Education: Artificial Intelligence10.1016/j.caeai.2025.100373(100373)Online publication date: Jan-2025
https://doi.org/10.1016/j.caeai.2025.100373
Zheng CHuang ZMa SMa X(2024)SelfGauge: An Intelligent Tool to Support Student Self-assessment in GenAI-enhanced Project-based LearningAdjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3672539.3686338(1-3)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3672539.3686338
Zheng CZhang YHuang ZShi CXu MMa X(2024)DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-ExplorationProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676366(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676366
Hussain AEl-Nakla SAl Huwaidi SKhan A(2024)Hands-on Experiential Learning of Machine Learning Concepts Through Senior Design Projects: A Case Study2024 6th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)10.1109/ISAECT64333.2024.10799729(1-6)Online publication date: 3-Dec-2024
https://doi.org/10.1109/ISAECT64333.2024.10799729
Qu XKey MLuo EQiu C(2024)Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case StudyHCI International 2024 – Late Breaking Papers10.1007/978-3-031-76827-9_8(124-143)Online publication date: 31-Dec-2024
https://doi.org/10.1007/978-3-031-76827-9_8

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