Design of Innovative Computer System Experiments Based on General Large Language Models

Authors

    Jin Zhang, Xiaoli Gong, Xiaopeng Gao, Feng Duan, Hongqi Xiong College of Cyber Science, Nankai University, Tianjin 300071, China College of Cyber Science, Nankai University, Tianjin 300071, China School of Computer Science and Engineering, Beihang University, Beijing 100191, China Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation, Nankai University, Tianjin 300071, China School of Physics, Southeast University, Nanjing 211189, China

Keywords:

Large language model, Experimental design, Computer system, Intelligent collaboration, System capacity

Abstract

Disruptive intelligent technologies, such as large language models, are driving the rapid development and formation of new forms of productivity, posing significant challenges to traditional knowledge-driven teaching models and introducing new demands for talent cultivation in higher education. This paper first analyzes the cultivation of students’ novel innovative abilities through experimental teaching and proposes a framework for experimental course design characterized by “defined direction, diverse pathways, and flexible goals,” as well as a comprehensive experimental design method to develop “intelligent collaborative innovation” capabilities. Then, using the computer organization principles course as an example, it details the design methodology for comprehensive innovation experiment cases. Finally, it evaluates the effectiveness of student ability development based on the implementation of the experimental courses.

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Published

2024-12-27