Since the emergence of generative AI tools like ChatGPT in 2022, traditional Knowledge Management Systems (KMS) have faced significant challenges. This study focuses on the traditional KMS systems in universities and colleges, investigating their classification and exploring strategies for transformation in response to the impact of generative AI. Through literature analysis and interviews, this research categorizes common campus KMS into four types: (1) Learning Management Systems (LMS), (2) Library Management Systems and Academic Resource Databases, (3) Management Information Systems (MIS), (4) Data Analytics and Decision Support Systems.

The findings reveal that deeper integration of LMS and MIS, combined with the prioritization of generative AI adoption, can bring immediate and tangible benefits to faculty and students. Additionally, the transformation of Data Analytics and Decision Support Systems appears to be the most feasible entry point for generative AI implementation. This study provides practical strategies for higher education institutions to adopt generative AI in their KMS, offering actionable insights for the KMS transition in the generative AI era.

Authors:
Chun-min Lin, Tzu Chi University, Taiwan
Bagas Pramana Putra Fadhila, National Tsing Hua University, Taiwan

About the Presenter(s)
Professor Chun-min Lin is a University Assistant Professor/Lecturer at Tzu Chi University of Science and Technology in Taiwan

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