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Virtual learning environment to predict withdrawal by leveraging deep learning

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What this work says

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

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Evaluation of a Data-To-Text System for Verbalizing a Learning Analytics Dashboard
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Educational data science in massive open online courses
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Educational Data Mining and Learning Analytics
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Big Data in Higher Education: The Big Picture
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A Course Agnostic Approach to Predicting Student Success from VLE Log Data Using Recurrent Neural Networks
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Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data
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Neural Networks and Deep Learning
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inferredcites →https://doi.org/10.1016/j.compedu.2016.09.005openalex-snapshot
Models for early prediction of at-risk students in a course using standards-based grading
inferredcites →https://doi.org/10.1016/j.compedu.2016.10.001openalex-snapshot
Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses
inferredcites →https://doi.org/10.1016/j.inffus.2017.02.004openalex-snapshot
Ensemble learning for data stream analysis: A survey
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Framewise phoneme classification with bidirectional LSTM and other neural network architectures
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inferredcites →https://doi.org/10.1016/s0169-2070(97)00044-7openalex-snapshot
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Deep learning
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Open University Learning Analytics dataset
inferredcites →https://doi.org/10.1080/0144929x.2018.1467967openalex-snapshot
A bibliometric perspective of learning analytics research landscape
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/ism.2016.0051openalex-snapshot
Multi-stream Deep Learning Framework for Automated Presentation Assessment
inferredcites →https://doi.org/10.1109/ithings-greencom-cpscom-smartdata.2016.177openalex-snapshot
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm
inferredcites →https://doi.org/10.1109/tsmcc.2010.2053532openalex-snapshot
Educational Data Mining: A Review of the State of the Art
inferredcites →https://doi.org/10.1111/exsy.12135openalex-snapshot
Early dropout prediction using data mining: a case study with high school students
inferredcites →https://doi.org/10.1145/2556325.2566247openalex-snapshot
Demographic differences in how students navigate through MOOCs
inferredcites →https://doi.org/10.1145/2567574.2567586openalex-snapshot
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inferredcites →https://doi.org/10.1145/2723576.2723601openalex-snapshot
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Deep Knowledge Tracing On Programming Exercises
inferredcites →https://doi.org/10.1145/3170358.3170398openalex-snapshot
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inferredcites →https://doi.org/10.18260/p.23643openalex-snapshot
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inferredcites →https://doi.org/10.5753/cbie.sbie.2017.143openalex-snapshot
Deep Learning applied to Learning Analytics and Educational Data Mining: A Systematic Literature Review

What points at this work

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

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