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Garante Secondary Use of Student Data in EMI Programmes

Secondary processing of student records within English-Medium Instruction environments requires reconciling institutional learning analytics with European regulatory mandates. The supervisory positions established by the Italian Garante underscore the inadequacy of blanket consent and enforce strict adherence to purpose limitation and lawful grounds. Establishing transparent procedural boundaries between exploratory data mining and concrete pedagogical interventions safeguards student rights while sustaining academic quality assurance.

Obiettivo

Determine lawful processing conditions for secondary educational data analytics in EMI programs under Garante oversight.

Metodologia

Desk-based normative analysis of European data protection regulations, supervisory rulings, and institutional policy documents.

Novità scientifica

Delineates Garante compliance criteria specifically for secondary linguistic and performance data processing in EMI settings.

Anteprima del documento

Questa è una breve anteprima. La versione completa include il testo esteso per tutte le sezioni, una conclusione e una bibliografia formattata.

Research Article

Degree:
Garante Secondary Use of Student Data in EMI Programmes

Author:

Group

First M. Last

Advisor:

Dr. First Last

City, 2026

Contents

Abstract
Introduction
2. Regulatory Foundations of Secondary Data Processing Under European Data Protection Law
3. Materiali e Metodi: Jurisprudential and Doctrinal Analysis
4. Governance Mandates of the Italian Data Protection Authority (Garante)
5. Lawfulness and Purpose Limitation in English-Medium Instruction (EMI) Analytics
6. Risultati: Compliance Tensions Between Pedagogical Optimization and Data Minimization
7. Discussion: Institutional Safeguards and Rights Preservation
Conclusion
Bibliography

Introduction

The systematic deployment of digital platforms within English-Medium Instruction higher education environments generates continuous streams of behavioral and academic records. Re-evaluating these educational traces for secondary analytical objectives creates significant tensions regarding purpose limitation, transparency, and lawful processing under European data protection standards [1].

Supervisory authorities, specifically the Italian Garante, encounter increasing friction between university research ambitions and statutory individual rights. Conventional reliance on broad consent mechanisms proves inadequate for recurring institutional interventions, necessitating structured legal bases and rigorous safeguards against inadvertent privacy infringements during automated classification [3], [6].

This investigation synthesizes regulatory doctrines, authority determinations, and pedagogical frameworks to delineate permissible secondary data processing pathways. By examining supervisory guidelines against educational data mining requirements, the work clarifies systemic boundaries and institutional compliance strategies for internationalized academic programs.

7. Discussion: Institutional Safeguards and Rights Preservation

The regulatory evaluation of secondary data processing within higher education institutions reveals an acute tension between exploratory educational data mining and the statutory mandate of purpose limitation. Broad consent models obtained upon enrollment fail to provide robust legal foundations when longitudinal academic performance metrics are repurposed for predictive instructional interventions years later [1]. Under the supervisory philosophy reflected in European jurisprudence and enforced by authorities such as the Italian Garante, academic institutions cannot treat administrative enrolment data as open-ended assets for unrestrained profiling [3]. Instead, lawful secondary processing requires establishing distinct statutory grounds, typically rooted in public interest tasks or strictly bounded legitimate interests subject to stringent proportionality assessments [6]. The operational necessity of separating initial exploratory analytics from actionable pedagogical measures emerges as a pivotal protective safeguard [1]. When learning platforms aggregate instructional interaction records to detect overarching curricular bottlenecks in internationalized programs, the risk of direct individual harm remains minimal provided appropriate pseudonymization protocols are maintained. However, transitioning from aggregate pattern identification to individualized academic tracking triggers elevated scrutiny regarding transparency and automated profiling constraints [3], [6]. Ensuring compliance within English-medium instruction environments therefore depends upon establishing definitive governance policies that delineate where exploratory educational research concludes and direct administrative processing begins.

References

  1. A Data Protection Framework for Learning Analytics
    Andrew Nicholas Cormack
    Link DOI
  2. Legal bases for effective secondary use of health and genetic data in the EU: time for new legislative solutions to better harmonize data for cross-border sharing?
    Becker, Regina, Chokoshvili, Davit, Dove, Edward
    Link DOI
  3. Data Protection's Intersections: Reconciling Data Protection Requirements with Regulated Data use Beyond the GDPR
    Katherine Nolan
    Link DOI
  4. Between Privacy Protection and Data Progression - The GDPR in the Context of People Analytics
    Nella Junge
  5. Transforming the secondary use of patient data in the European Health Data Space: A challenge for the patient's right to medical confidentiality?
    Spajić, Daniela
  6. Mining for Knowledge, Not Trouble: GDPR's Impact on Educational Data Mining
    Aytaj Ismayilzada, Mirka Saarela, Ayaz Karimov

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