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Research on the big data analysis of MOOCs in a flipped classroom based on attention mechanism in deep learning model

https://doi.org/10.1002/cae.22678
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What this work says

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

inferredcites →https://doi.org/10.1002/cae.22328openalex-snapshot
Visual analytics of video‐clickstream data and prediction of learners' performance using deep learning models in MOOCs' courses
inferredcites →https://doi.org/10.1002/cae.22452openalex-snapshot
Research on predicting learning achievement in a flipped classroom based on MOOCs by big data analysis
inferredcites →https://doi.org/10.1007/978-3-319-55705-2_25openalex-snapshot
What Decides the Dropout in MOOCs?
inferredcites →https://doi.org/10.1007/s00500-018-3581-3openalex-snapshot
Student dropout prediction in massive open online courses by convolutional neural networks
inferredcites →https://doi.org/10.1007/s11257-018-9203-zopenalex-snapshot
Student success prediction in MOOCs
inferredcites →https://doi.org/10.1016/j.bushor.2016.03.008openalex-snapshot
Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the Cookie Monster
inferredcites →https://doi.org/10.1016/j.chb.2018.06.032openalex-snapshot
Predicting at-risk university students in a virtual learning environment via a machine learning algorithm
inferredcites →https://doi.org/10.1016/j.compedu.2018.03.014openalex-snapshot
Learner support in MOOCs: Identifying variables linked to completion
inferredcites →https://doi.org/10.1016/j.compedu.2019.103676openalex-snapshot
An overview and comparison of supervised data mining techniques for student exam performance prediction
inferredcites →https://doi.org/10.1016/j.compedu.2019.103728openalex-snapshot
Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs
inferredcites →https://doi.org/10.1016/j.compedu.2022.104596openalex-snapshot
From the learner's perspective: A systematic review of MOOC learner experiences (2008–2021)
inferredcites →https://doi.org/10.1016/j.heliyon.2023.e15234openalex-snapshot
The role of pre-class and in-class behaviors in predicting learning performance and experience in flipped classrooms
inferredcites →https://doi.org/10.1016/j.heliyon.2023.e15382openalex-snapshot
ANN-LSTM: A deep learning model for early student performance prediction in MOOC
inferredcites →https://doi.org/10.1016/j.jestch.2020.07.005openalex-snapshot
Prediction of middle school students' programming talent using artificial neural networks
inferredcites →https://doi.org/10.1016/j.tele.2017.09.009openalex-snapshot
Predicting the acceptance of MOOCs in a developing country: Application of task-technology fit model, social motivation, and self-determination theory
inferredcites →https://doi.org/10.1016/j.tele.2018.04.007openalex-snapshot
Diagnosis of learner dropout based on learning styles for online distance learning
inferredcites →https://doi.org/10.1038/s41598-021-03867-8openalex-snapshot
Predicting students’ performance in e-learning using learning process and behaviour data
inferredcites →https://doi.org/10.1108/ils-05-2019-0041openalex-snapshot
Scale up predictive models for early detection of at-risk students: a feasibility study
inferredcites →https://doi.org/10.1108/ils-10-2018-0104openalex-snapshot
Predictive analytic models of student success in higher education
inferredcites →https://doi.org/10.1109/access.2019.2903230openalex-snapshot
Gamification in MOOCs: Engagement Application Test in Energy Sustainability Courses
inferredcites →https://doi.org/10.1109/access.2020.2981905openalex-snapshot
Using Data Mining Techniques to Predict Student Performance to Support Decision Making in University Admission Systems
inferredcites →https://doi.org/10.1109/access.2020.2994561openalex-snapshot
Big Educational Data & Analytics: Survey, Architecture and Challenges
inferredcites →https://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
inferredcites →https://doi.org/10.1109/bigmm.2016.70openalex-snapshot
Big Data Application in Education: Dropout Prediction in Edx MOOCs
inferredcites →https://doi.org/10.1109/cvpr.2012.6248110openalex-snapshot
Multi-column deep neural networks for image classification
inferredcites →https://doi.org/10.1109/educon.2018.8363340openalex-snapshot
MOOC dropout prediction using machine learning techniques: Review and research challenges
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/tlt.2014.2311807openalex-snapshot
Delving into Participants’ Profiles and Use of Social Tools in MOOCs
inferredcites →https://doi.org/10.1109/tlt.2018.2793193openalex-snapshot
Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors
inferredcites →https://doi.org/10.1109/tlt.2018.2856808openalex-snapshot
Prediction in MOOCs: A Review and Future Research Directions
inferredcites →https://doi.org/10.1126/science.aav7958openalex-snapshot
The MOOC pivot
inferredcites →https://doi.org/10.1145/3126973.3126990openalex-snapshot
Deep Model for Dropout Prediction in MOOCs
inferredcites →https://doi.org/10.1145/3293881.3295783openalex-snapshot
Predicting academic performance: a systematic literature review
inferredcites →https://doi.org/10.1145/3368308.3415382openalex-snapshot
Interpretable Deep Learning for University Dropout Prediction
inferredcites →https://doi.org/10.1177/0735633118757015openalex-snapshot
Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301517openalex-snapshot
Understanding Dropouts in MOOCs
inferredcites →https://doi.org/10.19173/irrodl.v18i5.3080openalex-snapshot
Trends and Patterns in Massive Open Online Courses: Review and Content Analysis of Research on MOOCs (2008-2015)
inferredcites →https://doi.org/10.26599/tst.2019.9010013openalex-snapshot
Consideration of the local correlation of learning behaviors to predict dropouts from MOOCs
inferredcites →https://doi.org/10.3115/v1/w14-4110openalex-snapshot
Predicting Attrition Along the Way: The UIUC Model
inferredcites →https://doi.org/10.3115/v1/w14-4111openalex-snapshot
Predicting MOOC Dropout over Weeks Using Machine Learning Methods
inferredcites →https://doi.org/10.3390/app10031042openalex-snapshot
Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review
inferredcites →https://doi.org/10.4236/jcc.2021.98005openalex-snapshot
Student Performance Prediction via Attention-Based Multi-Layer Long-Short Term Memory
inferredcites →https://doi.org/10.48550/arxiv.1408.3382openalex-snapshot
Likely to stop? Predicting Stopout in Massive Open Online Courses
inferredcites →https://doi.org/10.48550/arxiv.1608.04789openalex-snapshot
Modelling Student Behavior using Granular Large Scale Action Data from a MOOC

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s44217-026-01137-1openalex-snapshot
Artificial intelligence innovations challenges and emerging trends in engineering education
inferred← citeshttps://doi.org/10.1038/s41598-025-87450-5openalex-snapshot
Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning
inferred← citeshttps://doi.org/10.1109/access.2025.3532595openalex-snapshot
The Application of Artificial Intelligence in Engineering Education: A Systematic Review
inferred← citeshttps://doi.org/10.1109/dapic66097.2025.00089openalex-snapshot
Research on Big Data Prediction Methods Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/ieca66054.2025.00032openalex-snapshot
Research on Teaching Evaluation and Learning Achievement Analysis Model Based on Machine Learning
inferred← citeshttps://doi.org/10.1111/jcal.70084openalex-snapshot
Revolutionising Higher Education: A Big Data‐Driven Approach to Intelligent Supervision Platforms in Universities
inferred← citeshttps://doi.org/10.1145/3724504.3724520openalex-snapshot
Analysis of Higher Education Teaching Data Based on Data Mining Technology
inferred← citeshttps://doi.org/10.1371/journal.pone.0320494openalex-snapshot
Active learning regression quality prediction model and grinding mechanism for ceramic bearing grinding processing
inferred← citeshttps://doi.org/10.18260/1-2--47162openalex-snapshot
Developing Computational Intelligence Curriculum Materials to Advance Student Learning for Robot Control and Optimization
inferred← citeshttps://doi.org/10.3390/math11244977openalex-snapshot
Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach
inferred← citeshttps://doi.org/10.3390/soc14050068openalex-snapshot
Proposal for a Flipped Classroom Program with Massive Open Online Courses to Improve Access to Information and Information Literacy in Primary School Teachers
inferred← citeshttps://doi.org/10.62381/h251a06openalex-snapshot
Research on Teaching Reform of NGO Management Course for Public Administration Majors in Civil Aviation Universities
inferred← citeshttps://doi.org/10.7717/peerj-cs.3718openalex-snapshot
VertiDaX: an explainable hybrid deep learning model for dropout prediction with vertical integration
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