Privacy-Preserving Learning Analytics: Challenges and Techniques

No abstract is available for this paper.

• Publication year

  2017

• Venue

  IEEE Transactions on Learning Technologies

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Education

• Identifiers
  DOI 10.1109/TLT.2016.2607747
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• The Digital Person

  2022cited by this paper
• Privacy and analytics: it's a DELICATE issue a checklist for trusted learning analytics

  2016cited by this paper
• Privacy-Preserving Publishing of Hierarchical Data

  2016cited by this paper
• Learning analytics beyond the LMS: the connected learning analytics toolkit

  2015cited by this paper
• Code of practice for learning analytics

  2015cited by this paper
• Student privacy self-management: implications for learning analytics

  2015cited by this paper
• Can you engineer privacy?

  2014cited by this paper
• No silver bullet: De-identification still doesn't work

  2014cited by this paper
• Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge.

  2014cited by this paper
• Ethical and privacy principles for learning analytics

  2014cited by this paper
• Contemporary Privacy Theory Contributions to Learning Analytics

  2014cited by this paper
• Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative

  2014cited by this paper
• The learning analytics & knowledge (LAK) data challenge 2014

  2014cited by this paper
• Establishing an ethical literacy for learning analytics

  2014cited by this paper
• On syntactic anonymity and differential privacy

  2013cited by this paper
• The Risks of Absolute Medical Confidentiality

  2013cited by this paper
• Differentially Private Naive Bayes Classification

  2013cited by this paper
• An evaluation of policy frameworks for addressing ethical considerations in learning analytics

  2013cited by this paper
• Learning Analytics

  2013cited by this paper
• The Hidden Biases in Big Data

  2013cited by this paper
• Introduction: Privacy Self-Management and the Consent Dilemma

  2012cited by this paper
• The PAR Framework Proof of Concept: Initial Findings from a Multi-Institutional Analysis of Federated Postsecondary Data

  2012cited by this paper
• Digital inclusion and data profiling

  2012cited by this paper
• Learning analytics and educational data mining: towards communication and collaboration

  2012cited by this paper
• Six Provocations for Big Data

  2011cited by this paper
• Penetrating the Fog: Analytics in Learning and Education.

  2011cited by this paper
• Open Learning Analytics: an integrated modularized platform

  2011cited by this paper
• Conceptualizing privacy

  2010cited by this paper
• Data mining with differential privacy

  2010cited by this paper
• Privacy-preserving data publishing: A survey of recent developments

  2010cited by this paper
• Privacy in Context: Technology, Policy, and the Integrity of Social Life

  2009cited by this paper
• Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization

  2009cited by this paper
• The hardness and approximation algorithms for l-diversity

  2009cited by this paper
• Privacy integrated queries: an extensible platform for privacy-preserving data analysis

  2009cited by this paper
• Differential Privacy: A Survey of Results

  2008cited by this paper
• Robust De-anonymization of Large Sparse Datasets

  2008cited by this paper
• Multirelational k-Anonymity

  2007cited by this paper
• t-Closeness: Privacy Beyond k-Anonymity and l-Diversity

  2007cited by this paper
• Pseudorandom Bits for Polynomials

  2007cited by this paper
• Protection : p-Sensitive k-Anonymity Property

  2006cited by this paper
• Anatomy: simple and effective privacy preservation

  2006cited by this paper
• Thoughts on k-Anonymization

  2006cited by this paper
• Anonymizing sequential releases

  2006cited by this paper
• Differential Privacy

  2006cited by this paper
• L-diversity: privacy beyond k-anonymity

  2006cited by this paper
• A Taxonomy of Privacy

  2006cited by this paper
• Privacy as contextual integrity

  2004cited by this paper
• k-Anonymity: A Model for Protecting Privacy

  2002cited by this paper
• Simple Demographics Often Identify People Uniquely

  2000cited by this paper
• Within-Class Grouping: A Meta-Analysis

  1996cited by this paper

• Privacy-preserving process data generation based on dual-discriminator conditional generative adversarial networks

  2026cites this paper
• Lightweight lexical augmentation for robust transformer-based student feedback classification

  2026cites this paper
• The Third-Party Access Effect: An Overlooked Challenge in Secondary Use of Educational Real-World Data

  2026cites this paper
• Privacy-Preserving and Interpretable Grade Prediction: A Differential Privacy Integrated TabNet Framework

  2025cites this paper
• PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework

  2025cites this paper
• Privacy preservation techniques through data lifecycle: A comprehensive literature survey

  2025cites this paper
• An improved differential privacy-preserving technique for educational dataset

  2025influential citation
• Advancing privacy in learning analytics using differential privacy

  2025cites this paper
• Ensuring privacy through synthetic data generation in education

  2025cites this paper
• Subtle biases introduced in equity studies through data anonymization

  2025cites this paper
• A Survey: Towards Privacy and Security in Mobile Large Language Models

  2025cites this paper
• Privacy versus pedagogy – students’ perceptions of using learning analytics in higher education

  2024cites this paper
• PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation

  2024cites this paper
• Student Privacy Activism: Protesting Radical Digital Transformation in EdTech

  2024cites this paper
• Preserving Both Privacy and Utility in Learning Analytics

  2024influential citation
• Federated Learning for Data Analytics in Education

  2023cites this paper
• Privacy of Sequential Data for Learning Analytics (short paper)

  2023cites this paper
• Synthetic Data Generation for Engineering Education: A Bayesian Approach

  2023cites this paper
• Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle

  2023cites this paper
• A Scoping Review of Wrist-worn Wearables in Education

  2023cites this paper
• Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations

  2023cites this paper
• Assessment Integrity Norms: Consumer and Student Privacy in Ed-Tech

  2023cites this paper
• A framework to support interoperable Game‐based Assessments as a Service (GBAaaS): Design, development, and use cases

  2023cites this paper
• Datafication and algorithmization of education: How do parents and students evaluate the appropriateness of learning analytics?

  2023cites this paper
• Decentralized Reinforced Anonymous FLchain: a Secure Federated Learning Architecture for the Medical Industry

  2023cites this paper
• Discourses regarding education governance in the digital age at K-12 level: Possibilities, risks, and strategies

  2023cites this paper
• Understanding the Perception and Awareness of Education Technologies’ Privacy and Security Issues

  2023cites this paper
• A novel privacy-preserving technique using steganography and L-diversity for multi-relational educational dataset

  2023influential citation
• "An Instructor is [already] able to keep track of 30 students": Students’ Perceptions of Smart Classrooms for Improving Teaching & Their Emergent Understandings of Teaching and Learning

  2023cites this paper
• Names, Nicknames, and Spelling Errors: Protecting Participant Identity in Learning Analytics of Online Discussions

  2023cites this paper
• Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring

  2022cites this paper
• The answer is (not only) technological: Considering student data privacy in learning analytics

  2022cites this paper
• Students' privacy concerns in learning analytics: Model development

  2022cites this paper
• Blockchain-Based Data Sharing Approach Considering Educational Data

  2022cites this paper
• Federated Learning and Its Role in the Privacy Preservation of IoT Devices

  2022cites this paper
• IPFS based file storage access control and authentication model for secure data transfer using block chain technique

  2022cites this paper
• Data Mashups Privacy Preservation for Learning Analytics (Short paper)

  2022cites this paper
• Privacy in LA Research: Understanding the Field to Improve the Practice

  2022cites this paper
• Understanding Student Navigation Patterns in Game-Based Learning

  2022cites this paper
• Privacy Preservation in eLearning: Exploration and Analysis

  2022cites this paper
• Educational Big Data: Predictions, Applications and Challenges

  2021cites this paper
• A Systematic Review of Educational Data Mining

  2021cites this paper
• Privacy Preservation and Analytical Utility of E-Learning Data Mashups in the Web of Data

  2021influential citation
• Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks

  2021cites this paper
• Ethical issues in learning analytics: a review of the field

  2021cites this paper
• “BLOCK CHAIN IN PRIVACYPRESERVATION OF RECORDS IN EDUCATION -A CURRENT RESEARCH TREND”

  2021cites this paper
• Categorizing learning analytics models according to their goals and identifying their relevant components: A review of the learning analytics literature from 2011 to 2019

  2021cites this paper
• Distributed Online Learning With Multiple Kernels

  2020cites this paper
• A Learning Analytics Approach to Identify Students at Risk of Dropout: A Case Study with a Technical Distance Education Course

  2020cites this paper
• Knowledge Hiding in Decision Trees for Learning Analytics Applications

  2020cites this paper
• Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis

  2020cites this paper
• On the Use of Soft Computing Methods in Educational Data Mining and Learning Analytics Research: a Review of Years 2010–2018

  2020cites this paper
• Analítica del aprendizaje y educación basada en datos: Un campo en expansión

  2020cites this paper
• Data privacy in construction industry by privacy-preserving data mining (PPDM) approach

  2020cites this paper
• An Enhanced Privacy Preserving Techniques for Asynchronous Streaming Data Mining in Distributed Environment

  2020cites this paper
• Methods and Techniques for Privacy Preserving in Blockchain

  2020influential citation
• Privacy Preservation of Electronic Health Record: Current Status and Future Direction

  2020cites this paper
• Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets

  2020cites this paper
• Do academics and university administrators really know better? The ethics of positioning student perspectives in learning analytics

  2020cites this paper
• Interazioni e-tutor-studenti e successo formativo: un'analisi dei dati nel contesto dell'educazione superiore online

  2020cites this paper
• Learning analytics and data-driven education: A growing field

  2020cites this paper
• Directions in Writing Analytics: Some Suggestions

  2019cites this paper
• The Pursuit of Patterns in Educational Data Mining as a Threat to Student Privacy

  2019cites this paper
• Analytics and Big Data: Emerging trends and their impact on our lives

  2019cites this paper
• Privacy of Big Data: A Review

  2019cites this paper
• The Ethics of Learning Analytics in Australian Higher Education: Discussion Paper

  2019cites this paper
• Computación creativa y desarrollo centrado en el usuario para el aprendizaje

  2019cites this paper
• Teaching Responsible Data Science: Charting New Pedagogical Territory

  2019cites this paper
• A Complete Validated Learning Analytics Framework: Designing Issues from Data Use Perspective

  2019cites this paper
• Towards Open Data in Digital Education Platforms

  2019cites this paper
• Assessing the Price in Data utility of k-Anonymous Microaggregation

  2019cites this paper
• Mining big data to help make informed decisions for designing effective digital educational games

  2019influential citation
• Privacy Preserving Big Data Analytics – A Review

  2018cites this paper
• Personalized Privacy-Preserving with high performance: (α, ε)-anonymity

  2018cites this paper
• Learning Analytics: A Systematic Literature Review

  2018cites this paper
• PRIVACY PRESERVING USING ENSEMBLE CLASSIFICATION FOR HEART DISEASE DATA SETS

  2018cites this paper
• A Complete Validated Learning Analytics Framework: Designing Issues from Data Preparation Perspective

  2018cites this paper
• Learning analytics: A glance of evolution, status, and trends according to a proposed taxonomy

  2018cites this paper
• Prevention of Sensitive and Privileged Information Using Fuzzy C-Means with DES Approach

  2018cites this paper
• Does $k$ -Anonymous Microaggregation Affect Machine-Learned Macrotrends?

  2018cites this paper
• Privacy Preserving Data Mining on Big Data Computing Platform: Trends and Future

  2017cites this paper
• Privacy Preserving Data Mining on Big Data Computing Platform: Trends and Future

  2017cites this paper
• Privacy-Preserving Publishing of Hierarchical Data

  2016cites this paper
• MKG ‐ Driven Student ‐ Resource Matching & Adaptive Intervention System: A Framework for Reducing Conceptual Errors and Enhancing Engagement via Multimodal Learning Analytics

  year unknowncites this paper
• Edinburgh Research Explorer Names, Nicknames, and Spelling Errors: Protecting Participant Identity in Learning Analytics of Online Discussions

  year unknowncites this paper
• Journal of Biomedical Informatics

  year unknowncites this paper