AI輔助教學對原民實驗創新教學實踐的挑戰與契機

The Challenges and Opportunities of AI-Assisted Teaching in the Practice of Indigenous Experimental Education Innovation

本研究旨在探討人工智慧（AI）科技導入原住民族實驗教育的適切性與實施策略。研究採取文獻分析、問卷調查與訪談法等質量並重的研究方法。透過文獻探討釐清AI輔助教學的相關理論與應用內涵，並以半結構式訪談與開放性問卷，蒐集久美國小及其他實驗學校在AI導入教學歷程中的經驗與觀點，探究其對原民實驗教育理念的實踐影響。研究亦關注教學現場在面對AI導入時所展現的組織韌性與慣性，藉此分析可能的推動契機與潛在風險，進一步研擬具體可行的發展策略。研究結果顯示，AI工具對於促進學生提問能力、自主探索與文化學習具有正向影響，亦有助於教師跨領域協同教學與課課程設計。然而，偏鄉地區在數位設備普及、網路環境與師生數位素養等方面仍存在顯著落差，影響AI教學效益的落實。本研究亦依據結論提出策進作為與未來研究方向之建議。

This study aims to explore the appropriateness and implementation strategies of introducing artificial intelligence (AI) technology into experimental education for indigenous peoples. The research adopts research methods that emphasize equal quality, such as literature analysis, questionnaire survey and interview method. Through literature discussion, the relevant theories and application connotations of AI-assisted teaching were clarified, and semi-structured interviews and open questionnaires were used to collect the experiences and perspectives of Jiumei Elementary School and other experimental schools in the teaching process of AI implementation, and to explore its practical impact on the concept of experimental education for indigenous peoples. The study also focuses on the organizational resilience and inertia shown by teaching sites in the face of AI introduction, thereby analyzing possible promotion opportunities and potential risks, and further developing specific and feasible development strategies. The research results show that AI tools have a positive impact on promoting students’questioning ability, independent exploration, and cultural learning, and also contribute to teachers’cross-disciplinary collaborative teaching and curriculum design. However, there are still significant gaps in the popularization of digital devices, the network environment, and the digital literacy of teachers and students in rural areas, affecting the implementation of AI teaching benefits. Based on the conclusions, this study also puts forward suggestions for policy and future research directions.