ArticleScientific data2017
Open University Learning Analytics dataset.
Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed.
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- Problem-based learning design multi-objective optimization to smart education: a digital transformation digital literacy model of higher education.Scientific reports · 2026Article
- Ensemble machine learning framework with SHAP and LIME for accurate early prediction of student success in online learning environments.Scientific reports · 2026Article
- Open data, private learners: a de-identified student activity and performance dataset for learning analytics.Scientific data · 2026Article
- Fine-grained causal effect estimation of learning resources via dynamic causal heterogeneous graph neural networks.Scientific reports · 2026Article
- Policy aware fusion of educational and economic indicators for public health curriculum optimization.Frontiers in public health · 2026Article
- Calibrated early-warning models with fairness auditing and selective prediction for course withdrawal risk: Evidence from OULAD.PloS one · 2026Article
- Assessing multidimensional student engagement in studio-based design learning: a traceable multimodal framework for teacher-led inquiry.Frontiers in psychology · 2026Article
- Mechanism-aware personalized learning intervention for short- and long-term academic outcome modeling.Frontiers in psychology · 2026Article
- Artificial intelligence in student management systems to enhance academic performance monitoring and intervention.Scientific reports · 2025Article
- Visibility graph analysis for educational data: potentials and a case study of predicting at-risk online students.Scientific reports · 2025Article
- Students' performance dataset for using machine learning technique in physics education research.Scientific data · 2025Article
- A blockchain based deep learning framework for a smart learning environment.Scientific reports · 2025Article
- Accurate multi-category student performance forecasting at early stages of online education using neural networks.Scientific reports · 2025Article
- Analysis and optimization of student learning paths based on CRNN and sequential data.PloS one · 2025Article
- MultiFAR: Multidimensional information fusion with attention-driven representation learning for student performance prediction.PloS one · 2025Article
- Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.IEEE transactions on medical imaging · 2024Article
- Dynamic educational recommender system based on Improved LSTM neural network.Scientific reports · 2024Article
- Article
- Predicting student success in MOOCs: a comprehensive analysis using machine learning models.PeerJ. Computer science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Learning Analytics focuses on the collection and analysis of learners' data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students' interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.