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학술논문

Research on the application of CDIO based blended online and offline teaching mode in artificial intelligence courses in universities

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영문명
발행기관
HONG KONG ACADEMY OF SOCIAL SCIENCES
저자명
Changchang Zeng Jide Qian Jianming Li Xin Wang
간행물 정보
『Journal of Social Science Development Research』Vol.2 No.3, 23~28쪽, 전체 6쪽
주제분류
사회과학 > 사회과학일반
파일형태
PDF
발행일자
2024.09.30
무료

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국문 초록

Given the swift evolution of the artificial intelligence (AI) industry and technology, there arises an urgent necessity to innovate the pedagogical approach of AI courses within universities, ensuring alignment with the contemporary demands for talent development. This study seeks to develop a hybrid teaching model that integrates both online and offline resources in AI courses, by leveraging the CDIO (Conceive, Design, Implement, Operate) framework for engineering education. This model aims to reform traditional teaching methods, thereby augmenting students' engineering practice skills and fostering innovative thinking. Additionally, this research explores potential challenges and proffers strategic solutions, providing insightful perspectives on the blended online and offline teaching reform of AI courses within higher education institutions.

영문 초록

목차

1 Introduction
2 Research purpose and significance
3 Research Overview of Blended Online and Offline Teaching Reform in AI Courses
4 Specific implementation of online and offline blended teaching reform for AI courses
5 Challenges and Strategies in the Process of Teaching Reform
6 Achievements and Effects of Blended Learning Reform
7 Conclusion
References

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APA

Changchang Zeng,Jide Qian,Jianming Li,Xin Wang. (2024).Research on the application of CDIO based blended online and offline teaching mode in artificial intelligence courses in universities. Journal of Social Science Development Research, 2 (3), 23-28

MLA

Changchang Zeng,Jide Qian,Jianming Li,Xin Wang. "Research on the application of CDIO based blended online and offline teaching mode in artificial intelligence courses in universities." Journal of Social Science Development Research, 2.3(2024): 23-28

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