What makes a great MOOC? An interdisciplinary analysis of student retention in online courses

By Panagiotis Adamopoulos. International Conference on Interaction Sciences, 2013

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Sentiment Analysis in MOOC Discussion Forums: What does it tell us? (2014, background): “Keywords Sentiment analysis, Opinion mining, Massive Open Online Course, MOOC, Forum posts”
Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach (2020, background): “Adamopoulos [2] analyzed user‐generated online reviews about MOOCs to identify the effects of factors, such as course, platform, and university on student retention.”
Predictors of Retention and Achievement in a Massive Open Online Course (2015, methodology): “Adamopoulous (2013) collected data from 842 students enrolled in 133 courses offered by 30 universities in partnership with one of six different providers or companies.”
Exploring the factors affecting MOOC retention: A survey study (2016, background): “Adamopoulos (2013) analysed a real-world data set of user generated content to model the factors that predicted self-reported course progress.”
Understanding Student Motivation, Behaviors and Perceptions in MOOCs (2015, background): “One notable phenomenon in MOOC research is the very low retention rates in MOOCs [1, 4, 8, 9, 19, 16].”