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Predicting Learning Outcomes with MOOC Clickstreams
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s12528-016-9126-9openalex-snapshot
Clustering patterns of engagement in Massive Open Online Courses (MOOCs): the use of learning analytics to reveal student categories
inferredcites →https://doi.org/10.1016/j.compedu.2013.06.009openalex-snapshot
Predicting students' final performance from participation in on-line discussion forums
inferredcites →https://doi.org/10.1016/s0271-5309(01)00005-2openalex-snapshot
The linguistic assumptions underlying readability formulae
inferredcites →https://doi.org/10.1109/cse-euc-dcabes.2016.213openalex-snapshot
Grade Prediction in MOOCs
inferredcites →https://doi.org/10.1109/icacci.2018.8554547openalex-snapshot
Different Machine Learning Models to Predict Dropouts in MOOCs
inferredcites →https://doi.org/10.1109/iccse.2016.7581554openalex-snapshot
Machine learning application in MOOCs: Dropout prediction
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/10.1109/infocom.2015.7218617openalex-snapshot
MOOC performance prediction via clickstream data and social learning networks
inferredcites →https://doi.org/10.1109/jstsp.2017.2700227openalex-snapshot
Behavior-Based Grade Prediction for MOOCs via Time Series Neural Networks
inferredcites →https://doi.org/10.1109/mc.2012.278openalex-snapshot
Teaching the World: Daphne Koller and Coursera
inferredcites →https://doi.org/10.1109/mc.2016.119openalex-snapshot
Predicting Student Performance Using Personalized Analytics
inferredcites →https://doi.org/10.1109/mis.2013.66openalex-snapshot
MOOCs: So Many Learners, So Much Potential ...
inferredcites →https://doi.org/10.1109/pacificvis.2015.7156373openalex-snapshot
VisMOOC: Visualizing video clickstream data from Massive Open Online Courses
inferredcites →https://doi.org/10.1109/tsp.2016.2546228openalex-snapshot
Mining MOOC Clickstreams: Video-Watching Behavior vs. In-Video Quiz Performance
inferredcites →https://doi.org/10.1109/vast.2014.7042528openalex-snapshot
VisMOOC: Visualizing video clickstream data from massive open online courses
inferredcites →https://doi.org/10.1145/2556325.2566237openalex-snapshot
Understanding in-video dropouts and interaction peaks inonline lecture videos
inferredcites →https://doi.org/10.1145/2566486.2568042openalex-snapshot
Engaging with massive online courses
inferredcites →https://doi.org/10.1155/2016/2174613openalex-snapshot
Motivation Classification and Grade Prediction for MOOCs Learners
inferredcites →https://doi.org/10.19173/irrodl.v19i1.2920openalex-snapshot
A Taxonomy of Asynchronous Instructional Video Styles
inferredcites →https://doi.org/10.3115/v1/w14-4102openalex-snapshot
Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions
inferredcites →https://doi.org/10.3390/educsci9020104openalex-snapshot
Predicting Learning Outcomes with MOOC Clickstreams
inferredcites →https://doi.org/10.48550/arxiv.1403.3100openalex-snapshot
Engaging with Massive Online Courses
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
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Visual analytics of video‐clickstream data and prediction of learners' performance using deep learning models in MOOCs' courses
inferred← citeshttps://doi.org/10.1002/rev3.3310openalex-snapshot
Machine learning for the educational sciences
inferred← citeshttps://doi.org/10.1007/978-3-030-73603-3_36openalex-snapshot
Online Courses Performance Prediction Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-3-030-76508-8_6openalex-snapshot
Toward Student Classification in Educational Video Courses Using Knowledge Tracing
inferred← citeshttps://doi.org/10.1007/978-3-030-80421-3_4openalex-snapshot
A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs
inferred← citeshttps://doi.org/10.1007/978-3-030-81222-5_6openalex-snapshot
What Do MOOC Dashboards Present to Learners?
inferred← citeshttps://doi.org/10.1007/978-3-031-46674-8_42openalex-snapshot
Predicting Learners’ Performance Using MOOC Clickstream
inferred← citeshttps://doi.org/10.1007/s10489-023-04810-2openalex-snapshot
An algorithm based on fuzzy ordinal classification to predict students’ academic performance
inferred← citeshttps://doi.org/10.1007/s10639-020-10273-6openalex-snapshot
Predictive learning analytics using deep learning model in MOOCs’ courses videos
inferred← citeshttps://doi.org/10.1007/s10639-020-10370-6openalex-snapshot
Learner behavior prediction in a learning management system
inferred← citeshttps://doi.org/10.1007/s10639-021-10512-4openalex-snapshot
Predicting learner’s performance through video sequences viewing behavior analysis using educational data-mining
inferred← citeshttps://doi.org/10.1007/s10639-022-11403-yopenalex-snapshot
The use of video clickstream data to predict university students’ test performance: A comprehensive educational data mining approach
inferred← citeshttps://doi.org/10.1007/s10639-022-11536-0openalex-snapshot
Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
inferred← citeshttps://doi.org/10.1007/s10758-023-09697-zopenalex-snapshot
Predictive Video Analytics in Online Courses: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1007/s10758-024-09757-yopenalex-snapshot
Predicting Academic Success in Large Online Courses at a Mega ODL University
inferred← citeshttps://doi.org/10.1007/s12650-022-00899-8openalex-snapshot
Visual analytics of potential dropout behavior patterns in online learning based on counterfactual explanation
inferred← citeshttps://doi.org/10.1007/s13369-020-05117-xopenalex-snapshot
Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn
inferred← citeshttps://doi.org/10.1016/j.caeai.2022.100105openalex-snapshot
Learning pattern classification using moodle logs and the visualization of browsing processes by time-series cross-section
inferred← citeshttps://doi.org/10.1016/j.caeai.2023.100175openalex-snapshot
Accurate, timely, and portable: Course-agnostic early prediction of student performance from LMS logs
inferred← citeshttps://doi.org/10.1016/j.chb.2020.106674openalex-snapshot
Assessing program-level learning strategies in MOOCs
inferred← citeshttps://doi.org/10.1016/j.compedu.2023.104869openalex-snapshot
Diversified resource access paths in MOOCs: Insights from network analysis
inferred← citeshttps://doi.org/10.1016/j.compedu.2024.105154openalex-snapshot
Analysis and discovery of procrastination patterns in a language learning MOOC
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120323openalex-snapshot
Lessons from debiasing data for fair and accurate predictive modeling in education
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121187openalex-snapshot
Ensemble models based on CNN and LSTM for dropout prediction in MOOC
inferred← citeshttps://doi.org/10.1038/s41598-025-06654-xopenalex-snapshot
Gaze cluster analysis reveals heterogeneity in attention allocation and predicts learning outcomes
inferred← citeshttps://doi.org/10.1038/s41598-025-14802-6openalex-snapshot
Discovering action insights from large-scale assessment log data using machine learning
inferred← citeshttps://doi.org/10.1109/access.2021.3134787openalex-snapshot
Interpretable Models for Early Prediction of Certification in MOOCs: A Case Study on a MOOC for Smart City Professionals
inferred← citeshttps://doi.org/10.1109/access.2024.3450514openalex-snapshot
Click-Based Representation Learning Framework of Student Navigational Behavior in MOOCs
inferred← citeshttps://doi.org/10.1109/acit50332.2020.9300123openalex-snapshot
MOOC's Student Results Classification by Comparing PNN and other Classifiers with Features Selection
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671729openalex-snapshot
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach
inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032343openalex-snapshot
SA-FGDEM: A Self-adaptive E-Learning Performance Prediction Model
inferred← citeshttps://doi.org/10.1109/icet67421.2025.11380535openalex-snapshot
A MOOC Dropout Prediction Algorithm Incorporating Behavioral Sequences and Weights
inferred← citeshttps://doi.org/10.1109/icicr65456.2025.00118openalex-snapshot
Research on Online Course Teaching Evaluation Based on MLP-Bagging Algorithm
inferred← citeshttps://doi.org/10.1109/jicv53222.2021.9600310openalex-snapshot
Prediction MOOC’s for student by using machine learning methods
inferred← citeshttps://doi.org/10.1109/tale66047.2025.11346700openalex-snapshot
Towards Effective Mathematics Teaching: A Personalized E-Learning System Using Academic Performance Prediction
inferred← citeshttps://doi.org/10.1111/cgf.14552openalex-snapshot
DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos
inferred← citeshttps://doi.org/10.1145/3614428openalex-snapshot
The Application Research of Distributed Interface Coordination Based on Deep Reinforcement Learning in English MOOC Platform
inferred← citeshttps://doi.org/10.1145/3698205.3729556openalex-snapshot
Validating a New Approach for Measuring Student Engagement in Remote, Low-Infrastructure Learning Environments
inferred← citeshttps://doi.org/10.1145/3711129.3711138openalex-snapshot
Interpretable Grade Prediction Based on ECOC and Shapley Theory
inferred← citeshttps://doi.org/10.1155/2021/4327896openalex-snapshot
Predicting Learning Behavior Using Log Data in Blended Teaching
inferred← citeshttps://doi.org/10.1155/2021/4513610openalex-snapshot
Grade Prediction in Blended Learning Using Multisource Data
inferred← citeshttps://doi.org/10.1155/2021/9977977openalex-snapshot
Learning Behavior Analysis Using Clustering and Evolutionary Error Correcting Output Code Algorithms in Small Private Online Courses
inferred← citeshttps://doi.org/10.1155/2022/6542300openalex-snapshot
Achievement Prediction of English Majors Based on Analytic Hierarchy Process and Genetic Algorithm
inferred← citeshttps://doi.org/10.1155/2022/8255965openalex-snapshot
Dropout Rate Prediction of Massive Open Online Courses Based on Convolutional Neural Networks and Long Short-Term Memory Network
inferred← citeshttps://doi.org/10.11591/ijeecs.v27.i1.pp139-148openalex-snapshot
Quadratic vector support machine algorithm, applied to prediction of university student satisfaction
inferred← citeshttps://doi.org/10.1177/00368504211054256openalex-snapshot
Study on the university students' satisfaction of the wisdom tree massive open online course platform based on parameter optimization intelligent algorithm
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Portraying the Performance of Indonesian’s Massive Open Online Course Facilitators
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Privacidad y gestión de la identidad en procesos de analítica de aprendizaje
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130972openalex-snapshot
MOOC Dropout Prediction using FIAR-ANN Model based on Learner Behavioral Features
inferred← citeshttps://doi.org/10.1515/jisys-2024-0453openalex-snapshot
Construction of classroom teaching evaluation model based on machine learning facilitated facial expression recognition
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El aprendizaje de competencias en los MOOC: una Revisión Sistemática de Literatura
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Egy felnőttképzési MOOC-programon részt vevők aktivitási adatainak elemzése
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Research Trends in Media Pedagogy: Between the Paradigm of Risk and the Paradigm of Opportunity
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Early Dropout Prediction in Online Learning of University using Machine Learning
inferred← citeshttps://doi.org/10.3390/app11010237openalex-snapshot
Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/app12083982openalex-snapshot
Data-Driven Personalized Learning Path Planning Based on Cognitive Diagnostic Assessments in MOOCs
inferred← citeshttps://doi.org/10.3390/educsci16070999openalex-snapshot
Stage-Dependent Behavioral Patterns in MOOC Dropout: An Explainable Learning Analytics Study
inferred← citeshttps://doi.org/10.3390/educsci9030218openalex-snapshot
Selected Papers from the Eurasian Conference on Educational Innovation 2019
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Comparative Study on Barriers of Supply Chain Management MOOCs in China: Online Review Analysis with a Novel TOPSIS-CoCoSo Approach
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SA-FEM: Combined Feature Selection and Feature Fusion for Students’ Performance Prediction
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Selected Papers from the Eurasian Conference on Educational Innovation 2020
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