AI-Assisted Learning and Concept Mapping for SDG-Focused Cross-School Outdoor Education in Taiwan

Abstract

This study employs a quasi-experimental design to investigate the differences in learning outcomes and performance of junior high school students from metropolitan areas in Taiwan under various regional environments when engaging with water resource topics integrated with Sustainable Development Goals (SDGs). Students engaged in diverse outdoor environmental education activities, followed by classroom instruction on related issues. Their learning was assessed through text reading comprehension tests and the creation of concept maps. AI-assisted tools were used to evaluate students’ learning progress and provide recommendations for deconstructing textual content. The preliminary research outcomes include: 1. Establishing practical models for cross-school collaboration to explore SDG-related topics; 2. Developing a process record for AI-assisted teaching evaluation and feedback systems; 3. Creating an assessment model utilizing AI to support concept map analysis; 4. Offering recommendations for the development of issue-oriented, cross-regional outdoor education curricula for sustainable development.

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Author Information
Cheng-Hung Weng, National Taipei University of Technology, Taiwan
Wen-Liang Chang, National Taipei University of Technology, Taiwan
Po-Ching Lu, National Taipei University of Technology, Taiwan