Demonstrating Collaboration with Yunlin County Government to Advance Educational Big Data and AI Education in Rural Areas
Asia University’s College of Information and Electrical Engineering held the "AI Education and Digital Learning Practice Sharing Forum," inviting Mr. Liu Hong-Long (2nd left), Director of the Digital Learning Promotion Office of Yunlin County Government’s Department of Education, to deliver a keynote speech.
To deepen the integration of educational big data and AI learning in rural areas, Asia University and the Yunlin County Government signed a Memorandum of Understanding (MoU) on Educational Big Data Cooperation in November last year, marking the beginning of an in-depth partnership. As part of this collaboration, the College of Information and Electrical Engineering at Asia University recently hosted the “AI Education and Digital Learning Practice Sharing Forum,” featuring a keynote by Mr. Liu Hong-Long, Director of the Digital Learning Promotion Office of Yunlin County Government's Department of Education. Liu shared Yunlin’s successful experiences and practical achievements in smart education, rural transformation, and big data application.
Dean of the College and project leader, Prof. Ching-Hsien Hsu, noted that Asia University has been selected for three consecutive years by the Ministry of Education for the "K-12 Digital Learning Enhancement Program." The university has also established a Micro Program in Educational Big Data aimed at cultivating educational professionals with strong AI application and data literacy skills. This event not only served as a platform for knowledge exchange on AI education but also demonstrated tangible results of the partnership between Asia University and the Yunlin County Government.
Prof. Hsu emphasized that the real value of educational big data lies not just in data collection, but in its ability to improve student learning, enable precise teaching, and support effective policymaking. This includes:1.Personalized instruction and counseling through analysis of learning history data;2.Early warning systems to reduce dropout rates and increase student retention;.3.Career planning and course selection guidance based on big data insights;4.Data-driven policymaking and administrative decision support.
In his talk titled “Yunlin's Heart for Education: How Smart Education is Transforming Rural Futures”, Mr. Liu shared how Yunlin is leveraging technology to support student learning and teacher instruction, driving educational equity and digital transformation. He highlighted real-life examples, such as students regaining learning motivation through personalized data referrals and schools improving academic performance by adjusting teaching strategies based on data trends. He emphasized that data should not stay confined to reports—it should be brought into classrooms to help teachers truly understand students’ learning profiles, which he described as the essence of smart education.
Prof. Hsu concluded by stating that Asia University will continue expanding the application of educational big data in teacher training, AI-based curriculum development, smart learning platform deployment, and inter-county data collaboration. The goal, he said, is to realize a vision of “data-driven decision-making and AI-empowered education.”
