Analyzing instructional design quality and students' reviews of 18 courses out of the Class Central Top 20 MOOCs through systematic and sentiment analyses - ScienceDirect

Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020

What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach - ScienceDirect

IJLTER.ORG Vol 21 No 4 April 2022 by ijlter.org - Issuu

The role of motivation in MOOCs' retention rates: a systematic literature review, Research and Practice in Technology Enhanced Learning

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Analyzing instructional design quality and students' reviews of 18 courses out of the Class Central Top 20 MOOCs through systematic and sentiment analyses - ScienceDirect

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PDF) Analyzing instructional quality and students' reviews of massive open online courses (MOOCs) through systematic and sentiment analyses based on Big data

PDF) Sentiment Analysis of Students' Feedback with NLP and Deep Learning: A Systematic Mapping Study