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Temporal models for personalized grade prediction in massive open online courses

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/icdm.2015.54openalex-snapshot

Personalized Grade Prediction: A Data Mining Approach

inferredcites →https://doi.org/10.1109/icdmw.2015.174openalex-snapshot

Temporal Models for Predicting Student Dropout in Massive Open Online Courses

inferredcites →https://doi.org/10.1109/ijcnn.2017.7965922openalex-snapshot

Machine learning approaches to predict learning outcomes in Massive open online courses

inferredcites →https://doi.org/10.1145/2835776.2835842openalex-snapshot

Modeling and Predicting Learning Behavior in MOOCs

inferredcites →https://doi.org/10.1145/3051457.3053974openalex-snapshot

MOOC Dropout Prediction

inferredcites →https://doi.org/10.1155/2016/2174613openalex-snapshot

Motivation Classification and Grade Prediction for MOOCs Learners

inferredcites →https://doi.org/10.19173/irrodl.v16i3.2112openalex-snapshot

Massive open online course completion rates revisited: Assessment, length and attrition

inferredcites →https://doi.org/10.48550/arxiv.1702.06404openalex-snapshot

Delving Deeper into MOOC Student Dropout Prediction

inferredcites →https://doi.org/10.7544/issn1000-1239.2015.20140491openalex-snapshot

Learning Behavior Analysis and Prediction Based on MOOC Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4671150openalex-extracted

A Study on the Prediction of MOOC Learners' Academic Performance Based on Deep Neural Network

inferred← citeshttps://doi.org/10.1007/s10639-019-09934-yopenalex-snapshot

A predictive approach based on efficient feature selection and learning algorithms’ competition: Case of learners’ dropout in MOOCs

inferred← citeshttps://doi.org/10.1088/1742-6596/1743/1/012027openalex-snapshot

A Multi-Layers Perceptron for predicting weekly learner commitment in MOOCs

inferred← citeshttps://doi.org/10.1109/dsaa60987.2023.10302642openalex-snapshot

Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning

inferred← citeshttps://doi.org/10.1109/i2ct54291.2022.9824643openalex-snapshot

AI and Machine Learning Based E – Learning System For Secondary Education

inferred← citeshttps://doi.org/10.1109/icciaa68481.2026.11543577openalex-snapshot

Graph Attention Networks Enhance Fine-Grained Academic Performance Prediction in MOOCs by Modelling Structural Relationships

inferred← citeshttps://doi.org/10.21015/vtcs.v10i2.1278openalex-snapshot

Performance Prediction for Undergraduate Degree Programs Using Machine Learning Techniques - A Preliminary Review

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