Application of Generative Artificial Intelligence to Assessment and Curriculum Design for Project-Based Learning

Tao Wu, Maiga Chang

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

    Abstract

    This paper proposes an integrated generative AI learning literacy approach based on project-based learning to harness the transformative potential of generative AI in higher education. It provides a novel framework for integrating generative AI into project-based learning that aims to develop students' skills in three key aspects to grasp the application of generative AI as an effective problem-solving tool: (1) understanding algorithmic mechanisms, (2) identifying biases, and (3) using AI tools to solve problems. The process of integrating generative AI begins with assessing prior knowledge, introducing relevant problem-solving learning and AI tools, and designing course pathways and peer assessments through social media to cultivate students' problem-solving pathways. In addition, this paper recommends evaluating the effectiveness of AI-integrated courses through a comprehensive post-course survey of students and instructors.

    Original languageEnglish
    Title of host publication9th International Conference on Engineering and Emerging Technology, ICEET 2023
    ISBN (Electronic)9798350316926
    DOIs
    Publication statusPublished - 2023
    Event9th International Conference on Engineering and Emerging Technology, ICEET 2023 - Istanbul, Turkey
    Duration: 27 Oct. 202328 Oct. 2023

    Publication series

    Name9th International Conference on Engineering and Emerging Technology, ICEET 2023

    Conference

    Conference9th International Conference on Engineering and Emerging Technology, ICEET 2023
    Country/TerritoryTurkey
    CityIstanbul
    Period27/10/2328/10/23

    Keywords

    • Competency based learning
    • generative artificial intelligence
    • Higher education assessment
    • Project Based Learning

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