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GDPR Limits on Learning Analytics in Public HE

Compliance mechanisms under the General Data Protection Regulation establish structural constraints on the collection, automated processing, and retention of student behavioral data in public universities. Institutional implementation requires balancing statutory requirements such as purpose limitation, Data Protection Impact Assessments, and Data Protection Officer oversight against algorithmic pedagogical interventions. Sustainable governance in tertiary institutions necessitates privacy-by-design architectures that uphold individual rights while preserving diagnostic academic capabilities.

Objekt og emne

Learning analytics deployments within European public higher education institutions. — The regulatory boundaries, procedural constraints, and privacy-by-design mechanisms governing institutional learning data processing under the GDPR.

Vitenskapelig nyhet

A systematized synthesis of GDPR statutory limits applied directly to the technical stages of learning analytics within the specific context of public higher education governance.

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Bachelor's Thesis

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GDPR Limits on Learning Analytics in Public HE

Author:

Group

First M. Last

Advisor:

Dr. First Last

City, 2026

Contents

Introduction
1. Theoretical and Regulatory Framework for Higher Education Data Governance
1.1. Conceptual Dimensions of Learning Analytics in Public Higher Education
1.2. Core Principles of European Data Protection Law Governing Educational Platforms
1.3. Lawful Bases for Processing Student Personal Data under the GDPR
2. Legal Limits and Compliance Bottlenecks in Learning Analytics Deployments
2.1. Purpose Limitation and Data Minimization Constraints in Student Monitoring
2.2. Automated Decision-Making and Profiling Thresholds in Academic Assessment
2.3. Institutional Roles, Data Protection Officers, and Jurisdictional Ambiguities
2.4. Cross-Border Data Transfers and Third-Party EdTech Infrastructure Risks
3. Implementation Protocols and Privacy-Preserving Strategies for Public Universities
3.1. Designing Standardized Data Protection Impact Assessments for Institutional Analytics
3.2. Privacy by Design and Data Minimization Mechanisms in Platform Architecture
3.3. Institutional Governance Models and Student Rights Management Frameworks
Chapter 4. Practical Implications and Recommendations
Conclusion
Bibliography

Introduction

Institutional deployment of learning analytics in public higher education creates a structural tension between data-driven pedagogical optimization and strict statutory privacy compliance. The General Data Protection Regulation establishes robust privacy safeguards across European public entities, compelling educational bodies to adhere to strict mandates regarding personal data handling [1]. As academic platforms capture continuous streams of granular behavioral and performance records, public universities encounter binding legal boundaries that constrain algorithmic processing and data aggregation.

Operational friction emerges primarily around lawful processing grounds, automated decision-making limitations, and the enforcement of data minimization principles within public sector learning environments [2]. The statutory ambiguity across member states regarding institutional compliance roles and supervisory expectations further complicates compliance postures for public universities [5]. Consequently, educational institutions must navigate rigorous procedural obligations without sacrificing the diagnostic benefits of digital learning infrastructures.

This study examines the statutory boundaries imposed by European data protection law on learning analytics deployments within public universities. Utilizing qualitative legal analysis and regulatory document examination, the investigation evaluates how core privacy requirements reshape analytical architectures in tertiary education. The findings provide concrete compliance frameworks for university administrators, data protection officers, and educational technologists seeking lawful platform management.

2.3. Institutional Roles, Data Protection Officers, and Jurisdictional Ambiguities

The deployment of learning analytics in public higher education institutions exposes structural frictions between institutional monitoring ambitions and European data protection mandates. Applying the compliance architecture of the General Data Protection Regulation (GDPR) reveals that universities, operating as data controllers, face substantial regulatory burdens when establishing legitimate processing frameworks for diagnostic student analytics. As established in regulatory analyses, data controllers must navigate complex obligations concerning data minimization, Privacy by Design, and Data Protection Impact Assessments (DPIAs) to mitigate privacy risks while monitoring academic progression ("The EU General Data Protection Regulation (GDPR): Five Years After and the Future of Data Privacy Protection in Review," 2023). In the context of tertiary education, learning analytics platforms aggregate vast arrays of behavioral and diagnostic logs, which strains the boundaries of lawful processing and demands proactive institutional oversight. This analytical tension is further compounded by ambiguities surrounding institutional roles and internal compliance mechanisms. In particular, statutory provisions governing Data Protection Officers (DPOs) under Article 39(1) of the GDPR exhibit national implementation diversities and interpretative ambiguities across European jurisdictions, leaving institutional controllers with variable guidance on qualification standards and oversight integration ("General Data Protection Regulation (GDPR) Ambiguity, National Diversity and Data Protection Officer Certification," 2021). Consequently, public universities deploying automated tracking platforms struggle to establish uniform governance protocols, as internal DPOs must reconcile abstract legal mandates with high-volume pedagogical data flows. Therefore, the implementation of learning analytics in public higher education is fundamentally constrained by statutory obligations and interpretive divergences, requiring educational controllers to prioritize privacy-by-design architectures over indiscriminate behavioral surveillance.

References

  1. The General Data Protection Regulation (GDPR): A Landmark in Privacy Law
    Stella Macrin
    DOI-lenke
  2. The EU General Data Protection Regulation (GDPR): Five Years After and the Future of Data Privacy Protection in Review
    Alexander Wodi
    DOI-lenke
  3. General Data Protection Regulation (GDPR)
    Sergio Barezzani
    DOI-lenke
  4. General Data Protection Regulation (GDPR)
    Sergio Barezzani
  5. General Data Protection Regulation (GDPR) ambiguity, national diversity and data protection officer certification: Implementing Art. 39(1) GDPR in France, Italy, Luxembourg and Spain
    Jacob Kornbeck
  6. World YWCA Responsible Data Policy: Privacy and GDPR (General Data Protection Regulation)

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