期刊名称：International Journal of Educational Technology in Higher Education
印刷版ISSN：1698-580X
电子版ISSN：2365-9440
出版年度：2021
卷号：18
期号：1
页码：1-28
DOI：10.1186/s41239-021-00244-3
语种：English
出版社：Springer Verlag
摘要：Abstract Past MOOC research has tended to focus on learning outcomes valued in traditional higher education settings, such as achievement and retention. This study recognises that student ratings are an important alternative outcome measure in MOOCs. This paper adopted a semiautomatic text mining approach to collect and analyse 8475 ratings and reviews submitted for 1794 MOOCs. The analysis revealed six important themes that contributed to positive ratings: ‘learning’, ‘understanding’, ‘interesting’, ‘videos’, ‘recommend’, and ‘questions’. The paper then investigated the characteristics of each identified theme based on the proximity of themes, distribution of concepts within themes, and important connections. Based on research findings, the paper presents the following propositions to assist educators and providers to enhance the learning experience in MOOCs: (1) provide realistic learning contexts and instructional conditions in MOOCs to facilitate the acquisition of knowledge that transfers more readily to real-world practices; (2) carefully design the instructional conditions so that some mental challenge and stimulation is required for learners to achieve a full understanding of the content, rather than making MOOCs too simple or effortless to complete; (3) design the course content, materials, and communications to generate interest; (4) allocate sufficient resources to create high-quality video lectures; (5) employ video lectures to elicit positive emotions from MOOC learners and simplify complex, difficult concepts; and (6) incorporate discussion boards in MOOCs and invest in human and digital resources to address learners’ queries.
关键词：Massive open online courses (MOOCs);Learning experience;Student ratings;Student reviews;Perceived quality of instruction;Text mining
