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Khe Foon Hew is an Associate Professor of Information Technology in Education at the University of Hong Kong. His research investigates the use of educational technology in K-12 and university settings, and computer-mediated communication with a particular focus on social media applications. Min Lan is a final year PhD candidate of Information Technology in Education at the University of Hong Kong. Min's research interests lie in the area of technology-enhanced learning, particularly in the area of online learning. Ying Tang is a final year PhD candidate of Information Technology in Education at the University of Hong Kong. She is interested in the use of computermediated communication for teaching and learning. Chengyuan Jia is a PhD student of Information Technology in Education at the University of Hong Kong. Her research interest lies in the area of technology-enhanced language learning. Chung Kwan Lo holds a doctorate degree in Information Technology in Education from the University of Hong Kong. His research investigates the use of educational technology in school and higher education settings.

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Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884 students, who participated in one or more of 18 highly rated MOOCs. Highly rated MOOCs were sampled because they exemplify good practices or teaching strategies. We selected highly rated MOOCs from Coursetalk, an open user-driven aggregator and discovery website that allows students to search and review various MOOCs. We defined a highly rated MOOC as a free online course that received an overall five-star course quality rating, and received at least 50 reviews from different learners within a specific subject area. We described six specific themes found across the entire data corpus: (a) structure and pace, (b) video, (c) instructor, (d) content and resources, (e) interaction and support, and (f) assignment and assessment. The findings of this study provide valuable insight into factors that students find engaging in large-scale open online courses.

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