Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3672539.3686338acmconferencesArticle/Chapter ViewAbstractPublication PagesuistConference Proceedingsconference-collections
poster
Free access

SelfGauge: An Intelligent Tool to Support Student Self-assessment in GenAI-enhanced Project-based Learning

Published: 13 October 2024 Publication History

Abstract

Project-based learning (PBL) involves students tackling real-world problems and creating artifacts. With the rise of generative AI (GenAI) tools, assessing students in GenAI-enhanced PBL is challenging. To address this, we designed SelfGauge, a tool that supports student self-assessment by analyzing their GenAI usage and project artifacts. It helps students define criteria, seek feedback, and reflect on their performance, promoting continuous self-improvement.

References

[1]
Michel Beaudouin-Lafon and Wendy E Mackay. 2000. Reification, polymorphism and reuse: three principles for designing visual interfaces. In Proceedings of the working conference on Advanced visual interfaces. 102–109.
[2]
Phyllis C Blumenfeld, Elliot Soloway, Ronald W Marx, Joseph S Krajcik, Mark Guzdial, and Annemarie Palincsar. 1991. Motivating project-based learning: Sustaining the doing, supporting the learning. Educational psychologist 26, 3-4 (1991), 369–398.
[3]
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon, Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, and Pan Hui. 2024. ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Computers in Human Behavior: Artificial Humans 2, 1 (2024), 100027. https://doi.org/10.1016/j.chbah.2023.100027
[4]
Eric Horvitz. 1999. Principles of mixed-initiative user interfaces. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems. 159–166.
[5]
Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, and Jingren Zhou. 2023. # instag: Instruction tagging for analyzing supervised fine-tuning of large language models. In The Twelfth International Conference on Learning Representations.
[6]
Lara Piccolo, Daniel Buzzo, Martin Knobel, Prasanna Gunasekera, and Tina Papathoma. 2023. Interaction Design as Project-Based Learning: Perspectives for Unsolved Challenges. In Proceedings of the 5th Annual Symposium on HCI Education. 59–67.
[7]
Sarah Sterman, Molly Jane Nicholas, Janaki Vivrekar, Jessica R Mindel, and Eric Paulos. 2023. Kaleidoscope: A reflective documentation tool for a user interface design course. In Proceedings of the 2023 CHI conference on human factors in computing systems. 1–19.
[8]
Zi Yan and Gavin TL Brown. 2017. A cyclical self-assessment process: Towards a model of how students engage in self-assessment. Assessment & Evaluation in Higher Education 42, 8 (2017), 1247–1262.
[9]
Chengbo Zheng, Kangyu Yuan, Bingcan Guo, Reza Hadi Mogavi, Zhenhui Peng, Shuai Ma, and Xiaojuan Ma. 2024. Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students. In Proceedings of the CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24). Association for Computing Machinery, New York, NY, USA, Article 94, 19 pages. https://doi.org/10.1145/3613904.3642807

Index Terms

  1. SelfGauge: An Intelligent Tool to Support Student Self-assessment in GenAI-enhanced Project-based Learning

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      UIST Adjunct '24: Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
      October 2024
      394 pages
      ISBN:9798400707186
      DOI:10.1145/3672539
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 October 2024

      Check for updates

      Author Tags

      1. AI in Education
      2. Project-based Learning
      3. Reflection

      Qualifiers

      • Poster
      • Research
      • Refereed limited

      Funding Sources

      Conference

      UIST '24

      Acceptance Rates

      Overall Acceptance Rate 355 of 1,733 submissions, 20%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 0
        Total Downloads
      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 10 Oct 2024

      Other Metrics

      Citations

      View Options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format.

      HTML Format

      Get Access

      Login options

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media