Student dropout prediction in massive open online courses by convolutional neural networks
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DOI: 10.1007/s00500-018-3581-3
Abstract: Massive open online courses (MOOCs) have given global learners access to quality educational resources, but the persistent high dropout rates problem has a serious impact on their educational effectiveness. Therefore, how to predict the dropout… read more here.
Keywords: online courses; dropout prediction; prediction; open online ... See more keywords
A SLR on Customer Dropout Prediction
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DOI: 10.1109/access.2022.3146397
Abstract: Dropout prediction is a problem that is being addressed with machine learning algorithms; thus, appropriate approaches to address the dropout rate are needed. The selection of an algorithm to predict the dropout rate is only… read more here.
Keywords: dropout prediction; learning algorithms; machine learning; dropout ... See more keywords
Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking
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DOI: 10.1109/tlt.2022.3215598
Abstract: Due to the unprecedented growth in available data collected by e-learning platforms, including platforms used by massive open online course (MOOC) providers, important opportunities arise to structurally use these data for decision making and improvement… read more here.
Keywords: dropout prediction; prediction moocs; sequence; sequence mining ... See more keywords
Student Dropout Prediction for University with High Precision and Recall
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DOI: 10.3390/app13106275
Abstract: Since a high dropout rate for university students is a significant risk to local communities and countries, a dropout prediction model using machine learning is an active research domain to prevent students from dropping out.… read more here.
Keywords: dropout prediction; university; precision; student dropout ... See more keywords