Garante Privacy Limits on Learning Analytics in Public HE

The deployment of automated predictive modeling and algorithmic tracking systems across academic learning environments presents severe structural friction with European data protection jurisprudence [1]. While public higher education institutions increasingly adopt digital learning analytics dashboards to monitor student engagement, optimize retention rates, and evaluate individual academic progression, such computational processing activities frequently exceed lawful operational boundaries maintained by national data protection authorities [3]. These emerging technologies generate persistent concerns regarding privacy, institutional overreach, and lawful processing standards.

Public universities operate within rigid administrative and legal frameworks where processing student telemetry cannot be legitimized through broad consent mechanisms or ambiguous institutional claims of legitimate interest [7]. The continuous harvesting of behavioral metrics generates acute systemic vulnerabilities concerning automated profiling, excessive data retention, and unwarranted secondary processing, thereby threatening the core fundamental privacy rights of university students [1], [5]. Consequently, higher education administrators face increasing legal exposure when deploying unvetted commercial analytics platforms.

Enforcement precedents and regulatory guidelines issued by the Italian Data Protection Authority demonstrate rigorous oversight over automated data architectures and public administrative compliance [3], [4]. The Garante consistently affirms that public institutions must enforce strict necessity, algorithmic transparency, and data minimization standards, holding educational bodies accountable when analytics tools perform unauthorized tracking or deploy opaque artificial intelligence methodologies [4], [5]. Such regulatory scrutiny highlights the critical need to define legitimate parameters for digital educational governance.

Examining the normative and jurisprudential boundaries established by the Garante allows public universities to construct viable, compliant models for student data governance [3], [7]. Aligning institutional learning analytics infrastructures with data protection principles ensures that higher education systems leverage educational insights safely while upholding statutory duties and safeguarding student fundamental freedoms [1], [6]. This analytical synthesis provides concrete organizational pathways for sustainable compliance across Italian academic institutions.