Discussion: Reconciling Instructional Analytics and Regulatory Compliance in Swiss EMI
The analytical integration of learning analytics within English-medium instruction highlights an ongoing tension between pedagogical innovation and regulatory compliance under the Swiss revised Federal Act on Data Protection (nDSG). In digital and blended educational environments, instructional models such as flipped learning are increasingly deployed to enhance student interaction, communicative tasks, and collaborative learning ("Fostering English-Medium Instruction (EMI) Through Flipped Learning", 2020). However, the digital footprints and engagement logs generated through these interactive platforms constitute personal data that require rigorous purpose limitation and legitimate processing bases. While higher education institutions frequently utilise EMI programmes as a strategic instrument for global competitiveness, student mobility, and international prestige ("English-Medium Instruction (EMI) as a Globalisation Strategy in Higher Education", 2026), the secondary use of learner metrics for institutional quality assurance cannot bypass statutory privacy mandates. The Swiss legal framework prioritises personal autonomy, transparency, data minimisation, and proportional data governance over unconstrained institutional tracking. Consequently, Swiss universities offering EMI curricula must implement robust technical and organisational safeguards, including automated anonymisation protocols and explicit governance workflows, before reusing instructional analytics for longitudinal curricular refinement. Reconciling the discursive demands of global academic positioning with strict domestic data protection standards ensures that internationalisation initiatives remain ethically sound, legally defensible, and academically sustainable. By embedding privacy-by-design principles directly into digital learning platforms, Swiss academic institutions protect fundamental student privacy rights while simultaneously preserving the diagnostic utility of pedagogical data analytics across diverse bilingual degree programmes.