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
IC-BTCN: A Deep Learning Model for Dropout Prediction of MOOCs Students
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DOI: 10.1109/te.2024.3398771
Abstract: Contribution: This study proposes a student dropout prediction model, named image convolutional and bi-directional temporal convolutional network (IC-BTCN), which makes dropout prediction for learners based on the learning clickstream data of students in massive open… read more here.
Keywords: btcn model; dropout prediction; model; learning ... 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
Achieving optimal trade-off for student dropout prediction with multi-objective reinforcement learning
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DOI: 10.7717/peerj-cs.2034
Abstract: Student dropout prediction (SDP) in educational research has gained prominence for its role in analyzing student learning behaviors through time series models. Traditional methods often focus singularly on either prediction accuracy or earliness, leading to… read more here.
Keywords: student dropout; trade; accuracy earliness; dropout prediction ... See more keywords