Abstract
The rapid integration of Large Language Models (LLMs) and the Model Context Protocol (MCP) into industrial software engineering has created a pressing need to update software engineering education to align with emerging technologies and evolving industry demands. This study investigates an innovative approach that integrates LLMs and MCP into a collaborative teaching model for software engineering education, aiming to build a practical learning framework closely connected to real-world engineering practices. By embedding LLM- and MCP-driven tools into daily teaching, code assistance, and engineering simulations, the model effectively bridges the gap between traditional instruction and industrial workflows. This integration enhances students’ programming competence, practical problem-solving abilities, and proficiency in using intelligent engineering tools. Furthermore, through partnerships with industry internships, students can apply these technologies in real-world settings, further strengthening the connection between academic preparation and professional practice. Overall, this research offers a practical pathway for reforming and innovating software engineering education in the era of artificial intelligence.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2026 International Symposium on Educational Technology, ISET 2026 |
| Publisher | IEEE |
| Publication status | Published - 2026 |
| Event | 12th International Symposium on Educational Technology - Peking University, Beijing, China Duration: 28 Jul 2026 → 31 Jul 2026 https://hksmic.org.hk/iset/2026/ |
Conference
| Conference | 12th International Symposium on Educational Technology |
|---|---|
| Place | China |
| City | Beijing |
| Period | 28/07/26 → 31/07/26 |
| Internet address |
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