Lin Yu-Shan, Lai Ying-Hsun
Department of Information Science and Management Systems, National Taitung University, Taitung, Taiwan.
Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan.
Front Psychol. 2021 Nov 10;12:749629. doi: 10.3389/fpsyg.2021.749629. eCollection 2021.
In recent years, the learning efficacy of online to offline (O2O) teaching methods seems to outperform traditional teaching methods in the field of education. Students can use a small private online course (SPOC) teaching platform to preview class-related materials, learn basic knowledge, and enhance the practical experience of system development in offline courses. The research team applied an artificial intelligence (AI) precision education strategy to design a teaching experiment that evaluated whether this approach may lead to better learning outcomes. In addition to questionnaire surveys to ascertain students' attitudes toward and their satisfaction with learning, this study employed in-depth interviews to understand a potential influence on changes in teachers' curriculum design and teaching approaches when SPOCs was integrated into the traditional university classroom, as well as the impact of the AI precision education model. The results showed that the AI precision education model may facilitate students' learning experience and enhance student achievement.
近年来，在线到线下（O2O）教学方法的学习效果在教育领域似乎优于传统教学方法。学生可以使用小型私人在线课程（SPOC）教学平台预习与课程相关的材料，学习基础知识，并在离线课程中增强系统开发的实践经验。该研究团队应用人工智能（AI）精准教育策略设计了一项教学实验，以评估这种方法是否可能带来更好的学习成果。除了通过问卷调查确定学生对学习的态度和满意度外，本研究还采用了深入访谈，以了解将SPOC整合到传统大学课堂时对教师课程设计和教学方法变化的潜在影响，以及人工智能精准教育模式的影响。结果表明，人工智能精准教育模式可能会促进学生的学习体验并提高学生成绩。
