Research on the Teaching Reform of the Website Development Technology Course Based on Knowledge Graph
- DOI
- 10.2991/978-94-6239-766-8_30How to use a DOI?
- Keywords
- Knowledge Graph; Teaching Reform; Software Engineering
- Abstract
In response to the prevalent problems in teaching the core course Website Development Technology for the Software Engineering major, such as fragmented knowledge points, low student engagement, and monotonous teaching methods, this study introduces knowledge graph technology into course instruction. Centered on the core idea of “Knowledge Graph +Website Development Technology+ Project-driven” and taking the project development process as the main thread, a hierarchical knowledge system and a visualized knowledge graph are constructed. On this basis, a three-stage teaching model of “pre-class graph-guided learning — in-class graph-driven instruction — post-class graph-based expansion” is proposed. This model stimulates students’ learning interest and initiative throughout the entire pre-class, in-class, and post-class process, significantly enhancing classroom interactivity and instructional precision.
- 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 - Ning Zhang AU - Mingpei Peng PY - 2026 DA - 2026/09/04 TI - Research on the Teaching Reform of the Website Development Technology Course Based on Knowledge Graph BT - Proceedings of the 2026 6th International Conference on Education, Information Management and Service Science (EIMSS 2026) PB - Atlantis Press SP - 291 EP - 300 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6239-766-8_30 DO - 10.2991/978-94-6239-766-8_30 ID - Zhang2026 ER -