Industry-Education Integration in the Context of Hainan Free Trade Port: Learning Path Planning for Hotel Arabic Conversation Based on Ant Colony Optimization

DOI

10.2991/978-2-38476-551-5_88How to use a DOI?

Keywords

Arabic Learning; Path Planning; Ant Colony Optimization; Learning Entropy; Cognitive Smoothing; Industry-Education Integration

Abstract

Targeting the structural challenges inherent in higher vocational Hotel Arabic teaching—specifically rigid curriculum sequencing, the disconnection between content supply and industry standards, and the imbalance of cognitive load—this paper proposes an Entropy-Based Adaptive Ant Colony Optimization (EBA-ACO) framework for personalized learning path planning. The study reconstructs pedagogical logic through a tripartite mechanism: first, by constructing a heuristic evaluation model that integrates Industry Position Weights, the planning process is strictly aligned with vocational scenarios such as front office services and emergency handling, thereby deepening the integration of industry and education; second, an entropy-driven closed-loop adaptive mechanism is introduced to dynamically regulate algorithm parameters based on the learner’s real-time state, achieving a resonance between teaching rhythm and cognitive progression; and third, a Cubic B-Spline smoothing strategy is employed to optimize cognitive gradients, effectively mitigating the risk of “difficulty spikes” prevalent in traditional discrete teaching. Simulation experiments conducted on a Domain Knowledge Graph (DKG) with 50 knowledge nodes demonstrate that the proposed method significantly enhances teaching efficacy, reducing the average time required for learners to reach vocational proficiency by 18.4% (36.9 hours vs. 45.2 hours) and lowering the Cognitive Fluctuation Index by over 80%. This research breaks the path dependence of traditional instruction and establishes a new paradigm of “Data-Driven Path, Path-Reshaped Teaching,” providing solid theoretical support and quantifiable empirical evidence for the digital transformation and deepened industry-education integration of language majors in higher vocational education.

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.

Download article (PDF)

TY  - CONF
AU  - Yanting Huang
AU  - Kai Wang
AU  - Zeyi Ding
AU  - Yihong Liu
PY  - 2026
DA  - 2026/03/26
TI  - Industry-Education Integration in the Context of Hainan Free Trade Port: Learning Path Planning for Hotel Arabic Conversation Based on Ant Colony Optimization
BT  - Proceeding of 2025 8th International Conference on Humanities Education and Social Sciences (ICHESS 2025)
PB  - Atlantis Press
SP  - 811
EP  - 821
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-551-5_88
DO  - 10.2991/978-2-38476-551-5_88
ID  - Huang2026
ER  -