Discussion on the Reform of OBE Talent Training Model in Universities with AI Assistance

DOI: https://doi.org/10.62517/jhet.202415110

Author(s)

Wei Zhang*

Affiliation(s)

Xi'an Peihua University, Xi'an, Shaanxi, China * Corresponding Author.

Abstract

Based on the concept of Outcome-Based Education (OBE) and in combination with Artificial Intelligence (AI) technology, this paper presents an innovative approach to reforming the OBE talent-training model in universities. It provides preliminary professional talent training plans and curriculum teaching outline design methods. This method uses AI technology to realize the core idea of OBE, which is to focus on teaching outcomes-students' knowledge, skills, and attitudes. It assists in analyzing and making decisions on several important aspects of talent training in universities, efficiently completing the establishment of core documents such as professional talent training plans, curriculum-teaching outlines, and course assessment plans. In addition, by utilizing AI and digital human technology for real-time interaction during the teaching process, and generating course evaluation and assessment scales based on course objectives after the course, it objectively and accurately measures students' achievement of learning goals.

Keywords

Artificial Intelligence; Outcome-Based Education (OBE); Talent Training Model; Curriculum Teaching Outline; Course Evaluation and Assessment

References

[1]Harden, R. M. (2002). "Learning outcomes and instructional objectives: is there a difference?". Medical teacher, 24(2), 151-155. [2]Luckin, R. (2018). Machine learning and human intelligence: the future of education for the 21st century. UCL IOE Press. [3]Kyungsik Han, Patrick C. Shih, & John M. Carroll. (2014). "Local News Chatter: Augmenting Community News by Aggregating Tweets". In Proceedings of AAAI ICWSM'14. [4]Lasernal, Charlie, Michael N. Bastedo & Nicholas A. Bowman. (2019). "The Role of Information in College Admissions Decisions", American Journal of Education, 125 (4). [5]Xu J. (2023).Research on the Ability Framework of Undergraduate Talents in the Field of Artificial Intelligence from the Perspective of Knowledge System. Zhejiang University, 2023(05), 85-88. [6]Xu Biao, Du Peng, Li Sanfu. (2023).Exploration on the Quality Evaluation and Diagnosis Model of Talent Training Programs in Higher Vocational Colleges based on Multilevel Fuzzy Evaluation Method. Contemporary Education Theory and Practice, 14(05), 98-103. [7]Yang Qing & Song Wei.(2022).Exploration of Optimization Plan for School-Enterprise Cooperation and Computer Talent Training in the Era of Artificial Intelligence(J). China Educational Informationization, 28(07), 93-98. [8]Yu L. (2022).Building a "Artificial Intelligence +" Vocational Education Ecological Model: Exploring a New Path for Professional Group Construction. China Training, 2022(04), 99-101. [9]Wang D. (2021a).Research on the Reform Ideas of Electrical Automation Technology Specialty under the Background of Artificial Intelligence. China Informatization, 2021(08), 113-114. [10]Wang Z. (2021b).Exploration and Thinking on Artificial Intelligence Talent Training: Analysis based on the Training Programs of Seven Domestic Universities. China Higher Education Science and Technology, 2021(04), 67-71. [11]Fang Y. (2021).Research on Talent Training and Curriculum Reform of Applied Undergraduate College Accounting Major under the Background of Artificial Intelligence. Journal of Hebei Energy Vocational and Technical College, 21(01), 85-87+94. [12]Xie Y. (2020).Exploration and Construction of Talent Training Programs for Artificial Intelligence Majors in Higher Vocational Colleges. Invention and Innovation (Vocational Education), 2020(01), 145-146.