Incorporating Artificial Intelligence Literacy into the Curriculum (79129)

Session Information: Culture, Education and Pedagogy
Session Chair: Teresa Chen

Sunday, 26 May 2024 12:15
Session: Session 2
Room: Room 704
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

With the recent popularity of generative artificial intelligence (AI), educational communities have been vigorously engaged in discussion regarding its applications and have revisited relevant academic policies and practices. Among the topics under discussion is the urgent need to cultivate students’ AI literacy, which refers to the ability to understand, evaluate, and apply AI concepts and technologies to thrive successfully in the new era, marked by ever-changing transformative technologies. This presentation will share the process and results of an instructional design project that aimed to incorporate AI literacy into a college-level critical thinking course based on findings from a synthesis of recent research on effective pedagogies and AI in education. This project followed the ADDIE model and included the following five phases of the systematic instructional design process: Analysis, Design, Development, Implementation, and Evaluation. The analyses of students’ characteristics, the instructional context, research on AI literacy, and emerging AI applications altogether informed the design and development of the educational experience. The design blueprint, which was built on university curriculum guidelines and the aforementioned analyses, refined the learning objectives, activities, and assessments, and provided a roadmap for the development phase. The prototype, developed in alignment with the design blueprint, garnered favorable feedback overall in the implementation and evaluation phases. More specifically, this presentation will showcase the prototype accessible through a learning management system, placing a focus on learning activities concerning AI literacy, report on the outcomes of the evaluation highlighting areas for improvement and conclude with recommendations for future instruction and research.

Authors:
Teresa Chen, California State University-Long Beach, United States


About the Presenter(s)
Professor Teresa Chen is a University Associate Professor/Senior Lecturer at California State University-Long Beach in United States

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00