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Ensuring privacy through synthetic data generation in education
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-78270-2_11openalex-snapshot
Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks
inferredcites →https://doi.org/10.1016/j.neucom.2019.12.136openalex-snapshot
Generation and evaluation of privacy preserving synthetic health data
inferredcites →https://doi.org/10.1038/s41746-024-01359-3openalex-snapshot
A scoping review of privacy and utility metrics in medical synthetic data
inferredcites →https://doi.org/10.1038/sdata.2017.171openalex-snapshot
Open University Learning Analytics dataset
inferredcites →https://doi.org/10.1055/s-0042-1760247openalex-snapshot
Synthetic Tabular Data Evaluation in the Health Domain Covering Resemblance, Utility, and Privacy Dimensions
inferredcites →https://doi.org/10.1080/01587919.2019.1632171openalex-snapshot
Student data privacy in MOOCs: a sentiment analysis
inferredcites →https://doi.org/10.1109/access.2022.3144765openalex-snapshot
A Multi-Dimensional Evaluation of Synthetic Data Generators
inferredcites →https://doi.org/10.1109/jbhi.2020.2980262openalex-snapshot
Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)
inferredcites →https://doi.org/10.1109/tkde.2009.125openalex-snapshot
δ-Presence without Complete World Knowledge
inferredcites →https://doi.org/10.1109/tlt.2016.2607747openalex-snapshot
Privacy-Preserving Learning Analytics: Challenges and Techniques
inferredcites →https://doi.org/10.1111/bjet.13231openalex-snapshot
Controlled outputs, full data: A privacy‐protecting infrastructure for MOOC data
inferredcites →https://doi.org/10.1111/bjet.13236openalex-snapshot
Technological frameworks on ethical and trustworthy learning analytics
inferredcites →https://doi.org/10.1111/bjet.13388openalex-snapshot
Understanding privacy and data protection issues in learning analytics using a systematic review
inferredcites →https://doi.org/10.1145/3303772.3303796openalex-snapshot
Learning analytics at the intersections of student trust, disclosure and benefit
inferredcites →https://doi.org/10.1145/3375462.3375536openalex-snapshot
The privacy paradox and its implications for learning analytics
inferredcites →https://doi.org/10.1145/3529399.3529413openalex-snapshot
Open Learning Analytics: A Systematic Review of Benchmark Studies using Open University Learning Analytics Dataset (OULAD)
inferredcites →https://doi.org/10.1145/3636555.3636921openalex-snapshot
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
inferredcites →https://doi.org/10.18608/jla.2016.31.8openalex-snapshot
De-Identification in Learning Analytics
inferredcites →https://doi.org/10.18608/jla.2021.7353openalex-snapshot
De-identification is Insufficient to Protect Student Privacy, or – What Can a Field Trip Reveal?
inferredcites →https://doi.org/10.25080/majora-7b98e3ed-001openalex-snapshot
pgmpy: Probabilistic Graphical Models using Python
inferredcites →https://doi.org/10.3390/app122312320openalex-snapshot
Privacy and Utility of Private Synthetic Data for Medical Data Analyses
inferredcites →https://doi.org/10.3390/educsci14060608openalex-snapshot
Learning Analytics with Small Datasets—State of the Art and Beyond
inferredcites →https://doi.org/10.3390/math10152733openalex-snapshot
Survey on Synthetic Data Generation, Evaluation Methods and GANs
inferredcites →https://doi.org/10.48550/arxiv.1802.06739openalex-snapshot
Differentially Private Generative Adversarial Network
inferredcites →https://doi.org/10.48550/arxiv.1907.00503openalex-snapshot
Modeling Tabular data using Conditional GAN
inferredcites →https://doi.org/10.48550/arxiv.2011.05537openalex-snapshot
Differentially Private Synthetic Data: Applied Evaluations and Enhancements
inferredcites →https://doi.org/10.48550/arxiv.2011.07018openalex-snapshot
Synthetic Data -- Anonymisation Groundhog Day
inferredcites →https://doi.org/10.48550/arxiv.2102.08369openalex-snapshot
CTAB-GAN: Effective Table Data Synthesizing
inferredcites →https://doi.org/10.48550/arxiv.2301.07573openalex-snapshot
Synthcity: facilitating innovative use cases of synthetic data in different data modalities
inferredcites →https://doi.org/10.48550/arxiv.2302.04062openalex-snapshot
Machine Learning for Synthetic Data Generation: A Review
inferredcites →https://doi.org/10.48550/arxiv.2302.12580openalex-snapshot
Membership Inference Attacks against Synthetic Data through Overfitting Detection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-29744-0_2openalex-snapshot
DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning
inferred← citeshttps://doi.org/10.1007/978-3-032-30863-4_13openalex-snapshot
Ensuring Data Privacy and Utility in Synthetic Data Generation for Analysis of International Student Admissions Data
inferred← citeshttps://doi.org/10.1007/s44163-026-02383-wopenalex-snapshot
Fair synthetic tabular data generation via disentangled semantic encoding and large language models
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122939openalex-snapshot
Enhancing privacy-preserving data synthesis utility with two-stage diffusion models
inferred← citeshttps://doi.org/10.1038/s41598-026-44990-8openalex-snapshot
A privacy preserving synthetic learner dataset for learning analytics in technology enhanced higher education
inferred← citeshttps://doi.org/10.1080/10447318.2026.2636243openalex-snapshot
Adaptive Gamification Through Learner Profiling: Integrating Player Type, Learning Style, and Cognitive Ability
inferred← citeshttps://doi.org/10.1109/icriset64803.2025.11251748openalex-snapshot
Generative Adversarial Networks-Driven Synthetic Data System for Secure E-Commerce Analytics
inferred← citeshttps://doi.org/10.1109/tce.2026.3655419openalex-snapshot
Deep Learning-Driven Data Security Modeling in Next Generation Consumer Electronics-Powered Education Communication Systems
inferred← citeshttps://doi.org/10.1111/bjet.13580openalex-snapshot
AI for data generation in education: Towards learning and teaching support at scale
inferred← citeshttps://doi.org/10.1145/3770855.3817521openalex-snapshot
An Empirical Study of Synthetic Data Generators for Sequences
inferred← citeshttps://doi.org/10.1145/3785022.3785026openalex-snapshot
Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education
inferred← citeshttps://doi.org/10.1145/3785022.3785114openalex-snapshot
Stochastic Simulation of AI Disclosure Policies: Fairness and Norm Internalization in Learning Analytics
inferred← citeshttps://doi.org/10.1145/3786228.3786241openalex-snapshot
Enabling Postgraduate Projects in Computing Education through Synthetic Research Data Generation
inferred← citeshttps://doi.org/10.1145/3806980.3807051openalex-snapshot
AI-Integrated Intelligent Evaluation Method for Mental Health Education Teaching Effectiveness
inferred← citeshttps://doi.org/10.1177/21677026251409757openalex-snapshot
Building Open Science Into Graduate Training in Clinical Psychology
inferred← citeshttps://doi.org/10.3390/a19010039openalex-snapshot
Benchmarking Statistical and Deep Generative Models for Privacy-Preserving Synthetic Student Data in Educational Data Mining
inferred← citeshttps://doi.org/10.3390/digital5020017openalex-snapshot
Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success
inferred← citeshttps://doi.org/10.3991/ijim.v20i16.62224openalex-snapshot
The Role of Synthetic Data in Educational Research: A Systematic Review
inferred← citeshttps://doi.org/10.4018/979-8-3373-9675-0.ch009openalex-snapshot
Verifiable Synthetic Educational Ecosystems for Topology-Aware STEAM
inferred← citeshttps://doi.org/10.4236/ce.2026.173025openalex-snapshot
Artificial Intelligence in Learning: An Integrative Framework for Education 4.0
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