Research and Application of Big Model Interactive Assisted Teaching in Big Data Specialization
Year: 2025
Type: conference-paper
Abstract: With the accelerated development of generative artificial intelligence, the application of large models in education has gradually attracted attention. This paper combines the practical experience of the authors in the two courses, "Principles and Applications of Database" and "Data Warehouse HIVE", and explores the interactive teaching method based on large models for the big data major. New teaching strategies were designed through the Dify and DeepSeek platforms. By using personalized learning content recommendations and real-time feedback mechanisms, the large models deployed locally were fine-tuned to meet the teaching requirements. Significantly enhance students' enthusiasm and participation. Experimental research spanning two semesters (2024-2025) indicates that the proposed future teaching strategy utilizing large models has improved students' academic performance and contributed to the teaching reform of computer science.
Authors: Jianing Zhang, Yanli Ma, Lichen Zhang, Zhengchao Wang
Institution: Harbin Institute of Information Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4414386087