Rights-Respecting Learning Analytics: Data Governance, Privacy, and Transparency for EdTech and Higher Education

Abstract

Hybrid-Flexible (HyFlex) learning is increasingly treated as a durable mode of provision, yet many implementations still frame “flexibility” as a logistical feature rather than a pedagogical and psychosocial design problem. This can fragment belonging, produce uneven participation expectations, and raise cognitive load for students who must navigate shifting modalities, tools, and routines. This article proposes a wellbeing-first HyFlex design framework that integrates: (1) belonging and engagement research on identity-safe learning environments; (2) cognitive load theory and multimedia learning principles explaining overload risks in hybrid switching; and (3) blended learning models (Community of Inquiry, self-determination theory, and Universal Design for Learning) that operationalize teaching presence, autonomy-supportive structure, and accessible pathways. Using a design-science synthesis method, we develop a conceptual model, a course-level checklist with operational indicators, and an implementation roadmap with risk controls for equity, privacy, and instructor sustainability. The framework supports institutions in moving from ad hoc HyFlex delivery to accountable hybrid ecosystems that can scale without sacrificing care, rigor, or inclusion.