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Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses.

, , , , , and . ISD, Lund University / Association for Information Systems, (2018)

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Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs., , and . AIED (1), volume 13355 of Lecture Notes in Computer Science, page 717-723. Springer, (2022)Predicting Certification in MOOCs Based on Students' Weekly Activities., , and . ITS, volume 12677 of Lecture Notes in Computer Science, page 173-185. Springer, (2021)Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC., , , and . ITS, volume 12677 of Lecture Notes in Computer Science, page 148-160. Springer, (2021)MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns., , , , and . ITS, volume 12677 of Lecture Notes in Computer Science, page 119-130. Springer, (2021)MOOCSent: a Sentiment Predictor for Massive Open Online Courses., , , and . ISD, Universitat Politècnica de València / Association for Information Systems, (2021)Early Dropout Prediction for Programming Courses Supported by Online Judges., , , , , , , and . AIED (2), volume 11626 of Lecture Notes in Computer Science, page 67-72. Springer, (2019)An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System., , , , , , and . ICIEI, page 57-61. ACM, (2018)A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia., , and . ICIEI, page 94-98. ACM, (2018)A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning., , , , , , , , , and 1 other author(s). ITS, volume 12677 of Lecture Notes in Computer Science, page 466-480. Springer, (2021)Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach., , , , , and . ITS, volume 12149 of Lecture Notes in Computer Science, page 353-363. Springer, (2020)