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Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data.

, , , , and . L@S, page 181-184. ACM, (2017)

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Navigating the Local Modes of Big Data: The Case of Topic Models., , and . Computational Social Science, Cambridge University Press, (2016)Designing Adaptive Assessments in MOOCs, , , , , and . Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale, page 233--236. New York, NY, USA, ACM, (2017)Which Planning Tactics Predict Online Course Completion?, , , , and . LAK, page 360-370. ACM, (2024)The politeness Package: Detecting Politeness in Natural Language., , and . R J., 10 (2): 489 (2018)The Civic Mission of MOOCs: Engagement across Political Differences in Online Forums., , , , , and . Int. J. Artif. Intell. Educ., 28 (4): 553-589 (2018)MOOC Dropout Prediction: How to Measure Accuracy?, , , , and . L@S, page 161-164. ACM, (2017)Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data., , , , and . L@S, page 181-184. ACM, (2017)Adaptive Learning Open Source Initiative for MOOC Experimentation., , , , , , , and . AIED (2), volume 10948 of Lecture Notes in Computer Science, page 307-311. Springer, (2018)Adaptive Assessment Experiment in a HarvardX MOOC., , , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2017)Widening Access to Applied Machine Learning with TinyML., , , , , , , , , and 14 other author(s). CoRR, (2021)