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Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology

机译:基于课程域本体的MOOC内容自动反馈

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MOOCs offer free access to educational materials, leading to large numbers of students registered in MOOCs courses. The MOOCs forums allow students to post comments and ask questions; due to the number of students, however, the course facilitators are not able to provide feedback in a timely manner. To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by Coursera show the potential of our approach in creating a responsive learning environment.
机译:MOOC提供免费的教学材料,从而导致大量的学生注册了MOOC的课程。 MOOC论坛允许学生发表评论和提出问题;但是,由于学生人数的原因,课程主持人无法及时提供反馈。为了解决这个问题,我们使用课程域本体来识别与知识相关的帖子,并为学生提供及时的信息丰富的自动反馈。此外,我们为辅导员提供学生帖子的反馈,例如学生询问的常见主题。 Coursera提供的其中一门课程的实验结果表明了我们的方法在创建响应式学习环境方面的潜力。

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