Design of Embedded Interdisciplinary Educational Program: A Case Study-based on an AI Certification Program

Yu Zhang; Xiaoning Zhang; Tuoyu Li; Min Ye

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Conference: 2024 ASEE Annual Conference & Exposition
Location: Portland, Oregon
Publication Date: June 23, 2024
Start Date: June 23, 2024
End Date: July 12, 2024
Conference Session: Multidisciplinary Engineering Division (MULTI) Technical Session 10
Tagged Division: Multidisciplinary Engineering Division (MULTI)
Permanent URL: https://peer.asee.org/47127

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Paper Authors

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Yu Zhang Zhejiang University

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Yu Zhang is a Ph.D student in the School of public affairs, Zhejiang University. Her research interests include Science and Technology Management, Higher Education and Interdisciplinary Research.

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Xiaoning Zhang Zhejiang University

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Xiaoning Zhang received the degree of Bachelor of Arts with a major in Spanish Language and Literature and Bachelor of Management with a minor in Business Administration at Beijing Institute of Technology, Beijing, China, in 2023. She is currently working toward the M.S. degree in Educational Economy and Management with the School of Zhejiang University, Hangzhou, China. Her main research interests are in Management of Technology & Innovation and Development Strategy.

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Tuoyu Li Institute of China’s Science, Technology and Education Policy, Zhejiang University

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Tuoyu Li is a associate professor of the Institute of China’s Science, Technology and Education Policy, Zhejiang University. His research interests include Engineering Education, Science Technology and Education Policy.

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Min Ye Zhejiang University

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Min Ye is a professor of the Institute of China's Science Technology and Education Policy, Zhejiang University. His research interests include Engineering Education, Science Technology and Education Policy.

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Abstract

Background: Accompanied by the breakthrough progress of AI technology and its wide application in various industries, the worldwide demand for AI talents is growing explosively, and more and more non-AI majors are eager to learn the basic knowledge and application skills of AI. However, worldwide research and practice of AI education are still in the exploratory stage and face the reality of shortage and dispersion of AI educational resources. How to design AI interdisciplinary program is an urgent problem in the field of engineering education. Purpose: This study took an ongoing and successful AI interdisciplinary certification program as research object, and deconstructed the whole process of the program’ s design, implementation, and operation from three dimensions of vision, teaching, and support to summarize its successful experience in the AI talents cultivation and interdisciplinary education. Method: Adopting an exploratory case study methodology, we conducted semi-structured interviews with 5 instructors and professors involved in this program, and collected 10 documented materials about the program from internal channels, official websites, and mainstream media to ensure the authenticity, richness, and completeness of the qualitative data. Results: This program reflects an embedded interdisciplinary educational program design scheme. On the one hand, the program satisfies the personalized learning needs of interdisciplinary students by designing a modular curriculum structure. On the other hand, open teaching platform plays an important role in supporting program operation, which solves the problem of dispersed interdisciplinary educational resources and effectively integrates AI educational resources from different disciplines and subjects. Conclusion: This study has two main contributions. Firstly, we provided a reference instructional design scheme for AI educational program, which fills the current shortage of research in AI education. Secondly, the research results also contribute to the field of interdisciplinary engineering education by providing empirical experience for embedded interdisciplinary educational program design.

Citation
Format

Zhang, Y., & Zhang, X., & Li, T., & Ye, M. (2024, June), Design of Embedded Interdisciplinary Educational Program: A Case Study-based on an AI Certification Program Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/47127

TY  - CPAPER
AB  - Background: Accompanied by the breakthrough progress of AI technology and its wide application in various industries, the worldwide demand for AI talents is growing explosively, and more and more non-AI majors are eager to learn the basic knowledge and application skills of AI. However, worldwide research and practice of AI education are still in the exploratory stage and face the reality of shortage and dispersion of AI educational resources. How to design AI interdisciplinary program is an urgent problem in the field of engineering education.
Purpose: This study took an ongoing and successful AI interdisciplinary certification program as research object, and deconstructed the whole process of the program’ s design, implementation, and operation from three dimensions of vision, teaching, and support to summarize its successful experience in the AI talents cultivation and interdisciplinary education.
Method: Adopting an exploratory case study methodology, we conducted semi-structured interviews with 5 instructors and professors involved in this program, and collected 10 documented materials about the program from internal channels, official websites, and mainstream media to ensure the authenticity, richness, and completeness of the qualitative data.
Results: This program reflects an embedded interdisciplinary educational program design scheme. On the one hand, the program satisfies the personalized learning needs of interdisciplinary students by designing a modular curriculum structure. On the other hand, open teaching platform plays an important role in supporting program operation, which solves the problem of dispersed interdisciplinary educational resources and effectively integrates AI educational resources from different disciplines and subjects.
Conclusion: This study has two main contributions. Firstly, we provided a reference instructional design scheme for AI educational program, which fills the current shortage of research in AI education. Secondly, the research results also contribute to the field of interdisciplinary engineering education by providing empirical experience for embedded interdisciplinary educational program design.
AU  - Yu Zhang
AU  - Xiaoning Zhang
AU  - Tuoyu Li
AU  - Min Ye
CY  - Portland, Oregon
DA  - 2024/06/23
PB  - ASEE Conferences
TI  - Design of Embedded Interdisciplinary Educational Program: A Case Study-based on an AI Certification Program
UR  - https://peer.asee.org/47127
ER  -