Global Innovation Academy, Siam University, 38 Petchkasem Road, Phasi Charoen, Bang Wa, Bangkok 10160, Thailand.
College of International Chinese Language Education, Yunnan Normal University, Juxian Street, Chenggong District, Kunming, Yunnan Province 650500, China.
Biomed Res Int. 2022 Aug 22;2022:8135282. doi: 10.1155/2022/8135282. eCollection 2022.
With the increasing popularity of online foreign language teaching and learning practice, learners and teachers have developed a high demand for evaluation of teaching effectiveness. When we focus discussion on international Chinese teaching, which has been developed for a relatively short time and not experienced enough, online teaching effectiveness evaluation has become an important obstacle to the development of teaching. This paper introduces a hybrid technique based on fuzzy evaluation method, for determining and suggesting possible types of errors in international Chinese online listening and speaking instruction and giving suggestions for improvement. The system can help learners to identify and determine the types of errors in Chinese listening and speaking learning in a timely manner and make a more objective and comprehensive evaluation of learning performance; at the same time, it helps teachers to trace the effectiveness of teaching design and implementation in a targeted manner and make corresponding scientific decisions. This hybrid technology combines existing language teaching evaluation models, takes advantage of data from online education, and creates corresponding criteria through machine learning fuzzy algorithms and large data sample training, combined with the theory of effective teaching evaluation, which is beneficial for all participants of online Chinese listening and speaking teaching to improve their learning effectiveness.
随着在线外语教学实践的日益普及，学习者和教师对教学效果评估的需求也越来越高。当我们聚焦于汉语作为第二语言教学时，这种教学模式发展时间相对较短，经验不足，在线教学效果评估成为教学发展的重要障碍。本文提出了一种基于模糊评价方法的混合技术，用于确定和建议国际汉语在线听说教学中可能出现的错误类型，并给出改进建议。该系统可以帮助学习者及时识别和确定汉语听说学习中的错误类型，并对学习表现进行更客观、更全面的评价；同时，它还可以帮助教师有针对性地跟踪教学设计和实施的效果，并做出相应的科学决策。这种混合技术结合了现有的语言教学评价模式，利用在线教育数据，通过机器学习模糊算法和大数据样本训练，结合有效教学评价理论，创建相应的标准，有利于提高在线汉语听说教学中所有参与者的学习效果。
