Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC by Muhammad Ricky Perdana Putra, Ema Utami

“…Despite being in high demand as a lifelong learner and academic material supplement, the implementation of Massive Open Online Courses (MOOC) has problems, one of which is the dropout rate (DO) of students, which reaches 93%. …”
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Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs by Xieling Chen, Haoran Xie, Di Zou, Gary Cheng, Xiaohui Tao, Fu Lee Wang

“…This study investigates the application of machine learning and BERT models to identify topic categories in helpful online course reviews and uncover factors that influence the overall satisfaction of learners in massive open online courses (MOOCs). The research has three main objectives: (1) to assess the effectiveness of machine learning models in classifying review helpfulness, (2) to evaluate the performance of fine-tuned BERT models in identifying review topics, and (3) to explore the factors that influence learner satisfaction across various disciplines. …”
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Educational Needs During COVID-19: MOOCs Experiences Among Global Family Physicians by Özden Gökdemir, Halime Seda Küçükerdem, Sudip Bhattacharya, Maria Bakola, Mohammed Idris Shariff

“…However, due to poor knowledge of COVID-19, which changes rapidly, FPs had to update their practical and theoretical knowledge about this novel coronavirus on a daily. Massive open online courses (MOOCs) are courses that use an online application and can reach the entire world. …”
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