基于数据驱动的在线开放课程学习评价研究

Study on Evaluation of Online Open Course Learning Based on Data Driven

在线开放课程已成为学习者知识获取、技能提升和终身学习的重要途径,但现有在线开放课程学习评价存在学习起点评价不精准、过程评价不全面、评价结果的解释性不足等困境。科学合理的学习评价能激发学习者的主动性和积极性,提高学习效能。本研究从混合教学结构流程的视角,将学习评价有机融入学习过程,构建了课前导学、课中研学、课后拓学评价框架,并应用于教学实践。研究结果表明:投入度高的学习者其学习成绩较好;发回帖越活跃的学习者其学习成绩并不一定很好;教师在混合教学过程中科学地进行教学组织、调控及干预,对提高学生学习质量具有重要的保障作用。

Online open courses have become an important way for learners to acquire knowledge,improve skills and lifelong learning.However,there are some difficulties in the evaluation of open online courses,such as inaccurate starting point evaluation,incomplete process evaluation,and insufficient interpretation of evaluation results.Scientific and reasonable learning evaluation can stimulate learners'initiative and enthusiasm and improve learning efficiency.From the perspective of mixed teaching structure and process,this study organically integrates learning evaluation into the learning process,constructs the evaluation framework of pre-class guidance,in-class research and after-class extension,and applies it to teaching practice.The results show that learners with high degree of engagement have better learning performance.Learners who are more active in posting do not necessarily perform better.Teachers'scientific teaching organization,regulation and intervention in the process of mixed teaching plays an important role in ensuring the improvement of students'learning quality.