Research and Practice of Differentiated Teaching of Information Technology Public Course in Higher Vocational Colleges Based on Multi-dimensional Student Profiles
- DOI
- 10.2991/978-94-6239-630-2_16How to use a DOI?
- Keywords
- Student Profiles; Education Big Data; Differentiated Teaching; Higher Vocational Education
- Abstract
In this paper, practical issues in the teaching of public information technology courses in higher vocational colleges, such as significant differences in student foundations, broad coverage of majors, and difficulties in teaching evaluation are addressed. An educational big data-based student profiling system is developed. By integrating multi-dimensional features including students’ background information, learning process data, and academic performances, methods such as correlation analysis, clustering analysis, and data visualization comparison are employed to achieve precise assessment and stratification of student abilities. The research results indicate that this profile system can effectively support teachers in carrying out differentiated teaching, improving teaching effectiveness, and providing data support for the research.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xudong Pang PY - 2026 DA - 2026/04/23 TI - Research and Practice of Differentiated Teaching of Information Technology Public Course in Higher Vocational Colleges Based on Multi-dimensional Student Profiles BT - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025) PB - Atlantis Press SP - 156 EP - 162 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6239-630-2_16 DO - 10.2991/978-94-6239-630-2_16 ID - Pang2026 ER -