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Open University Learning Analytics dataset
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1038/sdata.2017.171openalex-snapshot
Open University Learning Analytics dataset
inferredcites →https://doi.org/10.1145/775047.775089openalex-snapshot
Transforming data to satisfy privacy constraints
inferredcites →https://doi.org/10.1198/tech.2004.s229openalex-snapshot
Introduction to Modern Nonparametric Statistics
inferredcites →https://doi.org/10.5860/choice.191061openalex-snapshot
Designing the new American university
inferredcites →https://doi.org/10.6084/m9.figshare.5081998openalex-snapshot
OULAD: Open University Learning Analytics Dataset
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/asi.24322openalex-snapshot
A joint neural network model for combining heterogeneous user data sources: An example of at‐risk student prediction
inferred← citeshttps://doi.org/10.1002/cae.22572openalex-snapshot
Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization
inferred← citeshttps://doi.org/10.1002/cae.22578openalex-snapshot
Application of improved neighbor propagation algorithm in international communication and cooperation to promote internationalization of higher education
inferred← citeshttps://doi.org/10.1002/cae.70040openalex-snapshot
AI‐Driven Personalized Microlearning Framework for Enhanced E‐Learning
inferred← citeshttps://doi.org/10.1002/cae.70138openalex-snapshot
Early Prediction of Student Academic Outcomes Using a Mixture of Experts Network
inferred← citeshttps://doi.org/10.1002/cpe.8251openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/eng2.12652openalex-snapshot
A state‐of‐the‐art survey of predicting students' performance using artificial neural networks
inferred← citeshttps://doi.org/10.1002/eng2.71025openalex-snapshot
Predicting Student Performance Using BiLSTM With Synthetic Institutional Data Mapping: A Case Study Contextual Integration of OULAD and AISHE in Educational Context
inferred← citeshttps://doi.org/10.1002/ima.22870openalex-snapshot
AlexNet‐NDTL : Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation
inferred← citeshttps://doi.org/10.1002/int.22129openalex-snapshot
Virtual learning environment to predict withdrawal by leveraging deep learning
inferred← citeshttps://doi.org/10.1002/spe.2812openalex-snapshot
Flexible data anonymization using ARX—Current status and challenges ahead
inferred← citeshttps://doi.org/10.1002/widm.1403openalex-snapshot
Review on publicly available datasets for educational data mining
inferred← citeshttps://doi.org/10.1002/widm.1452openalex-snapshot
A survey on datasets for fairness‐aware machine learning
inferred← citeshttps://doi.org/10.1002/widm.1479openalex-snapshot
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics
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Understanding Learner Engagement in a Virtual Learning Environment
inferred← citeshttps://doi.org/10.1007/978-3-030-21451-7_35openalex-snapshot
Relationship Between Context-Social and Academic Performance: First Notes
inferred← citeshttps://doi.org/10.1007/978-3-030-29736-7_45openalex-snapshot
Analysing Student VLE Behaviour Intensity and Performance
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ADA: A System for Automating the Learning Data Analytics Processing Life Cycle
inferred← citeshttps://doi.org/10.1007/978-3-030-31284-8_10openalex-snapshot
Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments
inferred← citeshttps://doi.org/10.1007/978-3-030-43377-2_1openalex-snapshot
Introduction to the Learning Analytics Cookbook
inferred← citeshttps://doi.org/10.1007/978-3-030-45183-7_11openalex-snapshot
Unsupervised Deep Collaborative Filtering Recommender System for E-Learning Platforms
inferred← citeshttps://doi.org/10.1007/978-3-030-47392-1_20openalex-snapshot
A Dimensionality Reduction Method for Time Series Analysis of Student Behavior to Predict Dropout in Massive Open Online Courses
inferred← citeshttps://doi.org/10.1007/978-3-030-52249-0_51openalex-snapshot
Random Sampling Effects on e-Learners Cluster Sizes Using Clustering Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-030-67435-9_1openalex-snapshot
Exploiting Time in Adaptive Learning from Educational Data
inferred← citeshttps://doi.org/10.1007/978-3-030-71704-9_35openalex-snapshot
Ensemble Learning for Early Identification of Students at Risk from Online Learning Platforms
inferred← citeshttps://doi.org/10.1007/978-3-030-77772-2_19openalex-snapshot
HCD3A: An HCD Model to Design Data-Driven Apps
inferred← citeshttps://doi.org/10.1007/978-3-030-77873-6_8openalex-snapshot
Early Prediction of At-Risk Students in a Virtual Learning Environment Using Deep Learning Techniques
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/10.1007/978-3-030-82153-1_31openalex-snapshot
Learning Resource Recommendation in E-Learning Systems Based on Online Learning Style
inferred← citeshttps://doi.org/10.1007/978-3-030-86439-2_22openalex-snapshot
Systematic Literature Review of Fairness in Learning Analytics and Application of Insights in a Case Study
inferred← citeshttps://doi.org/10.1007/978-3-030-96308-8_124openalex-snapshot
Neuro-Fuzzy Systems for Learning Analytics
inferred← citeshttps://doi.org/10.1007/978-3-030-96644-7_2openalex-snapshot
Public Datasets and Data Sources for Educational Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-031-03948-5_41openalex-snapshot
Predicting Student Performance in Online Learning Using a Highly Efficient Gradient Boosting Decision Tree
inferred← citeshttps://doi.org/10.1007/978-3-031-11647-6_88openalex-snapshot
Investigating the Role of Demographics in Predicting High Achieving Students
inferred← citeshttps://doi.org/10.1007/978-3-031-15191-0_5openalex-snapshot
A Novel Hybrid Classification Approach for Predict Performance Student in E-learning
inferred← citeshttps://doi.org/10.1007/978-3-031-19560-0_33openalex-snapshot
Predicting Academic Performance of Students from the Assessment Submission in Virtual Learning Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-20102-8_40openalex-snapshot
MOOC Dropout Prediction Based on Bayesian Network
inferred← citeshttps://doi.org/10.1007/978-3-031-23618-1_8openalex-snapshot
Evaluation of Group Fairness Measures in Student Performance Prediction Problems
inferred← citeshttps://doi.org/10.1007/978-3-031-26254-8_125openalex-snapshot
Prediction Student Performance in E-Learning Environment: Challenge and Opportunity
inferred← citeshttps://doi.org/10.1007/978-3-031-26387-3_27openalex-snapshot
VCNet: A Self-explaining Model for Realistic Counterfactual Generation
inferred← citeshttps://doi.org/10.1007/978-3-031-26390-3_7openalex-snapshot
ProcK: Machine Learning for Knowledge-Intensive Processes
inferred← citeshttps://doi.org/10.1007/978-3-031-34111-3_39openalex-snapshot
Predicting Student Performance with Virtual Resources Interaction Data
inferred← citeshttps://doi.org/10.1007/978-3-031-35731-2_12openalex-snapshot
Investigating Demographics and Behavioral Engagement Associated with Online Learning Performance
inferred← citeshttps://doi.org/10.1007/978-3-031-36272-9_38openalex-snapshot
Trustworthy Academic Risk Prediction with Explainable Boosting Machines
inferred← citeshttps://doi.org/10.1007/978-3-031-36336-8_40openalex-snapshot
Data Augmentation with GAN to Improve the Prediction of At-Risk Students in a Virtual Learning Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-40953-0_25openalex-snapshot
A Group-Level Learning Approach Using Logistic Regression for Fairer Decisions
inferred← citeshttps://doi.org/10.1007/978-3-031-41226-4_23openalex-snapshot
Predicting Student Performance with Virtual Resources Interaction Data at Different Stages of the Course
inferred← citeshttps://doi.org/10.1007/978-3-031-41637-8_52openalex-snapshot
Explainable Prediction of Student Performance in Online Courses
inferred← citeshttps://doi.org/10.1007/978-3-031-45087-7_17openalex-snapshot
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-45275-8_23openalex-snapshot
Fairness-Aware Mixture of Experts with Interpretability Budgets
inferred← citeshttps://doi.org/10.1007/978-3-031-62814-6_18openalex-snapshot
Enhancing the Early Prediction of Learners Performance in a Virtual Learning Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-64299-9_5openalex-snapshot
Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics
inferred← citeshttps://doi.org/10.1007/978-3-031-64312-5_15openalex-snapshot
MOOCRev: A Large-Scale Data Repository for Course Reviews
inferred← citeshttps://doi.org/10.1007/978-3-031-64315-6_46openalex-snapshot
Predictive Modelling with the Open University Learning Analytics Dataset (OULAD): A Systematic Literature Review
inferred← citeshttps://doi.org/10.1007/978-3-031-73116-7_15openalex-snapshot
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-73510-3_16openalex-snapshot
Predicting Student Engagement in Virtual Learning Environments Using ML Approaches with Data Balancing Techniques
inferred← citeshttps://doi.org/10.1007/978-3-031-74627-7_3openalex-snapshot
A Fair Post-processing Method Based on the MADD Metric for Predictive Student Models
inferred← citeshttps://doi.org/10.1007/978-3-031-90295-6_2openalex-snapshot
A Student Performance Prediction Model Using Machine Learning Models in Multimodal Learning Analytics
inferred← citeshttps://doi.org/10.1007/978-3-031-90653-4_17openalex-snapshot
Proxy Attribute Discovery in Machine Learning Datasets via Inductive Logic Programming
inferred← citeshttps://doi.org/10.1007/978-3-031-92681-5_3openalex-snapshot
Contextualized Learning Analytics Using Deep Learning Models for Student Performance Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-96231-8_22openalex-snapshot
Semi-supervised Learning for Early Certification Prediction in MOOCs
inferred← citeshttps://doi.org/10.1007/978-3-031-97309-3_11openalex-snapshot
Dropout Prediction for Higher Education: Data Sets and Methods, a Brief Overview
inferred← citeshttps://doi.org/10.1007/978-3-031-98281-1_2openalex-snapshot
Ensemble Stacking Case-Based Reasoning and a Stochastic Recommender Algorithm with the Hawkes Process Applied to ITS AI-VT
inferred← citeshttps://doi.org/10.1007/978-3-031-98284-2_7openalex-snapshot
Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets
inferred← citeshttps://doi.org/10.1007/978-3-031-98465-5_41openalex-snapshot
Privacy-Preserving Federated Learning for Student Dropout Prediction: Enhancing Model Transparency with Explainable AI
inferred← citeshttps://doi.org/10.1007/978-3-032-08486-6_21openalex-snapshot
I Don’t Know Who You Are, but I Know What You Need: Guidelines for Federated Learning in Educational Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-10386-4_27openalex-snapshot
Dropout Prediction in Behavior-Based Online Learning for STEM vs Non-STEM Courses: A Machine Learning Approach
inferred← citeshttps://doi.org/10.1007/978-3-032-16281-6_11openalex-snapshot
A Neural Recommender for Diverse Course Suggestions in Online Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-21147-7_16openalex-snapshot
Machine Learning and Deep Learning Models for Early Identification of At-Risk Students Using OULAD VLE Data
inferred← citeshttps://doi.org/10.1007/978-3-032-21200-9_21openalex-snapshot
Sustainable Multi-class Classification for Enhancing Adaptive Learning Systems: A Deep Learning Approach
inferred← citeshttps://doi.org/10.1007/978-3-032-23396-7_17openalex-snapshot
Near Real-Time, Leakage-Free Early Warning on OULAD: Week-by-Week Evaluation, Calibration, and Budget-Aware Decision Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-24998-2_16openalex-snapshot
Extending Clustering and Causal Analysis Techniques for Identifying and Explaining Learning Gaps in MOOCs
inferred← citeshttps://doi.org/10.1007/978-3-032-25638-6_3openalex-snapshot
Unfolding MOOC Learner’s Performance via MCDM Analysis of Academic, Temporal, and Behavioral Features Under Class Imbalance
inferred← citeshttps://doi.org/10.1007/978-3-032-28964-3_3openalex-snapshot
Anonymisation Versus Encryption: A Comprehensive Evaluation of Privacy-Enhancing Technologies for Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-29773-0_4openalex-snapshot
Decomposing the Fairness Gap: Disentangling Data Scarcity from Validity Bias in AI-Driven Formative Assessment
inferred← citeshttps://doi.org/10.1007/978-3-032-30511-4_10openalex-snapshot
Unified Fairness-Aware Semi-supervised Learning: A Comparative Study on MBA and OULAD
inferred← citeshttps://doi.org/10.1007/978-3-032-30511-4_5openalex-snapshot
Fair Active Learning Under Label Constraints: Lightweight Query Strategies for Learning Analytics
inferred← citeshttps://doi.org/10.1007/978-3-032-34157-0_5openalex-snapshot
Period Segmentation in Transition Network Analysis: A Topological Data Analysis Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-98572-5_13openalex-snapshot
Student Drop-out Modelling Using Virtual Learning Environment Behaviour Data
inferred← citeshttps://doi.org/10.1007/978-981-10-8944-2_120openalex-snapshot
Online Learning Style Modeling for Course Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-15-7907-3_18openalex-snapshot
Analysis of Learner’s Behavior Using Latent Dirichlet Allocation in Online Learning Environment
inferred← citeshttps://doi.org/10.1007/978-981-16-6285-0_51openalex-snapshot
Predicting Student’s Performance Using Linear Kernel Principal Component Analysis and Recurrent Neural Network (LKPCA-RNN) Model
inferred← citeshttps://doi.org/10.1007/978-981-16-6502-8_14openalex-snapshot
An Overview of Data Mining Techniques for Student Performance Prediction
inferred← citeshttps://doi.org/10.1007/978-981-16-8892-8_52openalex-snapshot
OULAD Learners’ Withdrawal Prediction Framework
inferred← citeshttps://doi.org/10.1007/978-981-33-4069-5_47openalex-snapshot
The Most Potential Decision Tree Technique to Classify the Large Dataset of Students
inferred← citeshttps://doi.org/10.1007/978-981-92-0042-9_19openalex-snapshot
Explaining Student Performance Prediction and Generating Personalized Actionable Feedback Using Explainable Artificial Intelligence (XAI) with SHAP
inferred← citeshttps://doi.org/10.1007/978-981-92-2590-3_19openalex-snapshot
Improve the Effectiveness of Predicting Student Learning Outcomes Using MoE Networks with LSTM Routing
inferred← citeshttps://doi.org/10.1007/978-981-92-4302-0_2openalex-snapshot
Feature-Group Influence on Student Performance Prediction across Heterogeneous Learning Platforms
inferred← citeshttps://doi.org/10.1007/978-981-92-4305-1_16openalex-snapshot
Predicting Student Success in Massive Open Online Courses: A Database-Driven Learning Analytics and Machine Learning Approach
inferred← citeshttps://doi.org/10.1007/978-981-95-8240-2_11openalex-snapshot
The Impact of AI on Information Technology and Computer Science Curriculum Design: Evolving Pedagogy and Assessment Strategies
inferred← citeshttps://doi.org/10.1007/978-981-96-5066-8_16openalex-snapshot
Mid-Course Student Success Prediction Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-97-0037-0_2openalex-snapshot
Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students
inferred← citeshttps://doi.org/10.1007/978-981-97-4243-1_9openalex-snapshot
Online Performance Prediction Combined Prior Knowledge and Deep Learning Models
inferred← citeshttps://doi.org/10.1007/978-981-99-2446-2_22openalex-snapshot
Learning Styles Identification Model in a MOOC Learning Environment
inferred← citeshttps://doi.org/10.1007/978-981-99-2449-3_7openalex-snapshot
Withdrawals Prediction in Virtual Learning Environments with Deep Self-paced Learning
inferred← citeshttps://doi.org/10.1007/s00500-021-05836-9openalex-snapshot
A comparative analysis of metaheuristics applied to adaptive curriculum sequencing
inferred← citeshttps://doi.org/10.1007/s10209-023-01033-7openalex-snapshot
Analysing student performance for online education using the computational models
inferred← citeshttps://doi.org/10.1007/s10462-020-09864-zopenalex-snapshot
Metaheuristic-based adaptive curriculum sequencing approaches: a systematic review and mapping of the literature
inferred← citeshttps://doi.org/10.1007/s10489-021-02613-xopenalex-snapshot
Using Meta-Learning to predict student performance in virtual learning environments
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/s10639-020-10141-3openalex-snapshot
Implementation of real-time online mouse tracking on overseas quiz session
inferred← citeshttps://doi.org/10.1007/s10639-022-10926-8openalex-snapshot
MOOC performance prediction and personal performance improvement via Bayesian network
inferred← citeshttps://doi.org/10.1007/s10639-023-11592-0openalex-snapshot
Using attention-based neural networks for predicting student learning outcomes in service-learning
inferred← citeshttps://doi.org/10.1007/s10639-023-11595-xopenalex-snapshot
Hybrid analysis of the learner’s online behavior based on learning style
inferred← citeshttps://doi.org/10.1007/s10639-023-12010-1openalex-snapshot
From unsuccessful to successful learning: profiling behavior patterns and student clusters in Massive Open Online Courses
inferred← citeshttps://doi.org/10.1007/s10639-023-12370-8openalex-snapshot
Early prediction of Student academic performance based on Machine Learning algorithms: A case study of bachelor’s degree students in KSA
inferred← citeshttps://doi.org/10.1007/s10639-023-12398-wopenalex-snapshot
Development and evaluation of predictive models for predicting students performance in MOOCs
inferred← citeshttps://doi.org/10.1007/s10639-025-13614-5openalex-snapshot
An in-depth exploration of predictive analytics in academic performance: a comprehensive framework utilizing large-scale feature-derived bidirectional long short-term memory neural networks
inferred← citeshttps://doi.org/10.1007/s10758-025-09937-4openalex-snapshot
On the Use of Advanced Learning Analytics in Student At-Risk Prediction: A Deep Learning Model
inferred← citeshttps://doi.org/10.1007/s10994-024-06583-2openalex-snapshot
FairMOE: counterfactually-fair mixture of experts with levels of interpretability
inferred← citeshttps://doi.org/10.1007/s11042-022-14083-5openalex-snapshot
Deep auto encoder based on a transient search capsule network for student performance prediction
inferred← citeshttps://doi.org/10.1007/s11042-023-17596-9openalex-snapshot
Performance prediction in online academic course: a deep learning approach with time series imaging
inferred← citeshttps://doi.org/10.1007/s11135-025-02552-6openalex-snapshot
Mapping the evolution of learning analytics in education: unveiling trends and insights
inferred← citeshttps://doi.org/10.1007/s11227-020-03488-4openalex-snapshot
Mining user–user communities for a weighted bipartite network using spark GraphFrames and Flink Gelly
inferred← citeshttps://doi.org/10.1007/s12528-025-09468-yopenalex-snapshot
Leveraging contrastive learning to improve group and individual fairness in predictive analytics for online learning
inferred← citeshttps://doi.org/10.1007/s12530-025-09747-0openalex-snapshot
Evolving fuzzy classification for human-centered explainable learning analytics in virtual environments
inferred← citeshttps://doi.org/10.1007/s13042-024-02124-4openalex-snapshot
Framelet-based dual hypergraph neural networks for student performance prediction
inferred← citeshttps://doi.org/10.1007/s13278-025-01446-7openalex-snapshot
Kanformer: an attention-enhanced deep learning model for predicting student performance in virtual learning environments
inferred← citeshttps://doi.org/10.1007/s13278-025-01484-1openalex-snapshot
LSTM-SHAP based academic performance prediction for disabled learners in virtual learning environments: a statistical analysis approach
inferred← citeshttps://doi.org/10.1007/s40593-023-00389-4openalex-snapshot
Debiasing Education Algorithms
inferred← citeshttps://doi.org/10.1007/s40593-025-00510-9openalex-snapshot
A Machine Learning Approach for Predicting Student Progress in Online Programming Education
inferred← citeshttps://doi.org/10.1007/s40692-025-00362-1openalex-snapshot
Learning analytics and educational data mining applications: bibliometric and ChatGPT-based analysis of research publications from 2014 to 2023
inferred← citeshttps://doi.org/10.1007/s40747-024-01344-zopenalex-snapshot
Improving academic performance predictions with dual graph neural networks
inferred← citeshttps://doi.org/10.1007/s41019-025-00303-zopenalex-snapshot
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
inferred← citeshttps://doi.org/10.1007/s41060-026-01318-zopenalex-snapshot
Explainable and fair early warning system for academic risk prediction in online higher education
inferred← citeshttps://doi.org/10.1007/s42979-024-03622-6openalex-snapshot
New Approach to Enhancing Student Performance Prediction Using Machine Learning Techniques and Clickstream Data in Virtual Learning Environments
inferred← citeshttps://doi.org/10.1007/s42979-025-04618-6openalex-snapshot
ESN-MAXOUT: An Efficient Framework for Predicting Student’s Academic Performance in Online Learning
inferred← citeshttps://doi.org/10.1007/s42979-026-05239-3openalex-snapshot
A Unified Explainable Predictive Analytics Pipeline for Learning Management Systems
inferred← citeshttps://doi.org/10.1007/s44163-026-00990-1openalex-snapshot
A multimodal learning analytics model based on deep learning for predicting student performance using tabular and time-series data fusion
inferred← citeshttps://doi.org/10.1007/s44163-026-01917-6openalex-snapshot
Tracing learner responsiveness through temporal interaction patterns
inferred← citeshttps://doi.org/10.1007/s44163-026-02279-9openalex-snapshot
An artificial intelligence driven adaptive learning system for enhancing student engagement and academic achievement in STEM education
inferred← citeshttps://doi.org/10.1016/j.caeai.2022.100103openalex-snapshot
A flexible feature selection approach for predicting students’ academic performance in online courses
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.caeai.2024.100267openalex-snapshot
Investigating algorithmic bias in student progress monitoring
inferred← citeshttps://doi.org/10.1016/j.caeai.2024.100300openalex-snapshot
Latent space bias mitigation for predicting at-risk students
inferred← citeshttps://doi.org/10.1016/j.caeai.2026.100594openalex-snapshot
From ethical principles to executable governance: A policy-as-code framework for trustworthy AI in higher education
inferred← citeshttps://doi.org/10.1016/j.caeai.2026.100660openalex-snapshot
Federated learning for privacy-preserving at-risk student prediction in health professional education: A multi-scenario evaluation of FedAvg and FedProx
inferred← citeshttps://doi.org/10.1016/j.chb.2019.106189openalex-snapshot
Predicting academic performance of students from VLE big data using deep learning models
inferred← citeshttps://doi.org/10.1016/j.chb.2024.108183openalex-snapshot
Exploring the relationship between LMS interactions and academic performance: A Learning Cycle approach
inferred← citeshttps://doi.org/10.1016/j.compedu.2019.04.001openalex-snapshot
The role of demographics in online learning; A decision tree based approach
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2021.107274openalex-snapshot
Balancing sequential data to predict students at-risk using adversarial networks
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.101008openalex-snapshot
Simulating students with large language models: A review of architecture, mechanisms, and role modeling in education with generative AI
inferred← citeshttps://doi.org/10.1016/j.dib.2026.113289openalex-snapshot
ECOTEC_Online student risk dataset: An open institutional dataset for reproducible student risk analytics in online higher education
inferred← citeshttps://doi.org/10.1016/j.dib.2026.113320openalex-snapshot
A harmonized longitudinal dataset of engineering students for learning analytics and predictive modeling
inferred← citeshttps://doi.org/10.1016/j.eij.2025.100735openalex-snapshot
Anomaly detection in graph databases using graph neural networks: Identifying unusual patterns in graphs
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115248openalex-snapshot
Enhancing student success prediction in higher education through a hybrid weighted hierarchical stacked generalization ensemble
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118868openalex-snapshot
Early prediction of learners at risk in self-paced education: A neural network approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118892openalex-snapshot
e-LION: Data integration semantic model to enhance predictive analytics in e-Learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120323openalex-snapshot
Lessons from debiasing data for fair and accurate predictive modeling in education
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FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
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FAIREDU: A multiple regression-based method for enhancing fairness in machine learning models for educational applications
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Behavioural leakage and the illusion of actionability: A deployment-honest evaluation framework for educational early warning systems
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Privacy-enhancing ETL-processes for biomedical data
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Trade-offs between fairness and performance in educational AI: Analyzing post-processing bias mitigation on the OULAD
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LLM-EPSP: Large language model empowered early prediction of student performance
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SMFSOP: A semantic-based modelling framework for student outcome prediction
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Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data
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Personalized e-learning resource recommendation using multimodal-enhanced collaborative filtering
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A novel context-aware intelligent learning framework for personalized education in developing countries
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Using Behavioral Primitives to Model Students’ Digital Behavior
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Unsupervised Approach for Learning Behavioral Constraints
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A Hybrid Machine Learning Approach for Predicting Student Performance Using Multi-class Educational Datasets
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Class-Imbalanced Dynamic Feature Selection for Dropout Prediction in Virtual Learning Environments
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EduPath-MS: An intelligent microservices platform for learning analytics and personalized educational recommendations
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Data-driven unsupervised clustering of online learner behaviour
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Design and evaluation of a data anonymization pipeline to promote Open Science on COVID-19
inferred← citeshttps://doi.org/10.1038/s41597-025-04913-0openalex-snapshot
Students’ performance dataset for using machine learning technique in physics education research
inferred← citeshttps://doi.org/10.1038/s41597-026-06821-3openalex-snapshot
Open data, private learners: a de-identified student activity and performance dataset for learning analytics
inferred← citeshttps://doi.org/10.1038/s41598-021-03867-8openalex-snapshot
Predicting students’ performance in e-learning using learning process and behaviour data
inferred← citeshttps://doi.org/10.1038/s41598-021-81709-3openalex-snapshot
Understanding learner behaviour in online courses with Bayesian modelling and time series characterisation
inferred← citeshttps://doi.org/10.1038/s41598-023-48690-5openalex-snapshot
Self-paced graph memory for learner GPA prediction and it’s application in learner multiple evaluation
inferred← citeshttps://doi.org/10.1038/s41598-024-54729-yopenalex-snapshot
Dynamic educational recommender system based on Improved LSTM neural network
inferred← citeshttps://doi.org/10.1038/s41598-025-00256-3openalex-snapshot
Accurate multi-category student performance forecasting at early stages of online education using neural networks
inferred← citeshttps://doi.org/10.1038/s41598-025-03688-zopenalex-snapshot
A blockchain based deep learning framework for a smart learning environment
inferred← citeshttps://doi.org/10.1038/s41598-025-17760-1openalex-snapshot
Visibility graph analysis for educational data: potentials and a case study of predicting at-risk online students
inferred← citeshttps://doi.org/10.1038/s41598-025-19159-4openalex-snapshot
Artificial intelligence in student management systems to enhance academic performance monitoring and intervention
inferred← citeshttps://doi.org/10.1038/s41598-025-34421-5openalex-snapshot
Fine-grained causal effect estimation of learning resources via dynamic causal heterogeneous graph neural networks
inferred← citeshttps://doi.org/10.1051/itmconf/20269005005openalex-snapshot
Intelligent Pedagogical Systems for Higher Education: A Machine Learning-Driven Personalization Approach
inferred← citeshttps://doi.org/10.1063/5.0072423openalex-snapshot
Student procrastination analysis in virtual learning environments
inferred← citeshttps://doi.org/10.1063/5.0104447openalex-snapshot
Mining e-learning interactions using K-Means clustering
inferred← citeshttps://doi.org/10.1080/01587919.2023.2268321openalex-snapshot
Openness in education as a living idea: A longitudinal investigation of its growth and development
inferred← citeshttps://doi.org/10.1080/02602938.2020.1822282openalex-snapshot
Measures of engagement in the first three weeks of higher education predict subsequent activity and attainment in first year undergraduate students: a UK case study
inferred← citeshttps://doi.org/10.1080/10494820.2022.2115076openalex-snapshot
Using fair AI to predict students’ math learning outcomes in an online platform
inferred← citeshttps://doi.org/10.1080/10494820.2023.2246517openalex-snapshot
MOOC performance prediction and analysis via Bayesian network and Maslow’s hierarchical needs theory
inferred← citeshttps://doi.org/10.1080/10494820.2024.2392175openalex-snapshot
The crowd in MOOCs: a study of learning patterns at scale
inferred← citeshttps://doi.org/10.1080/15366367.2026.2669152openalex-snapshot
Predicting and Interpreting Student Performance in Higher Education: A BOHB-Optimized DNN with Dual Explanation Framework Using SHAP and HFSF on OULAD
inferred← citeshttps://doi.org/10.1080/1743727x.2026.2617530openalex-snapshot
Contextualizing the research problem: improving cluster analysis insights into student learning
inferred← citeshttps://doi.org/10.1080/17439884.2023.2244412openalex-snapshot
Inverting {{Citation needed}}: critical design reflection of a citation learning game
inferred← citeshttps://doi.org/10.1088/1742-6596/1415/1/012003openalex-snapshot
PEST- and SWOT-analysis of university internationalization factors
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