Alida Ntahonkiriye
Université Lumière de Bujumbura

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Designing Inclusive Hybrid Learning Using Eye-Tracking and Adaptive UX: A Neuroadaptive Framework Alida Ntahonkiriye; Charles Ndikumana; Denise Mutoni; Ardi Azhari Nampira
Journal Emerging Technologies in Education Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i3.2233

Abstract

Background. The growing diversity of learners in hybrid education environments necessitates adaptive systems that respond to individual cognitive and emotional states in real time. Traditional user experience (UX) models often fail to accommodate neurodivergent users or those with varying attention patterns and processing styles. Purpose. This study proposes a neuroadaptive framework that integrates eye-tracking technology and adaptive UX design to create inclusive hybrid learning experiences. Method. The research aims to examine how real-time gaze data can inform interface adjustments that support engagement, accessibility, and cognitive load management. Employing a mixed-method design, the study involved 58 university students who interacted with a prototype learning platform embedded with eye-tracking sensors and adaptive UX features. Quantitative data from gaze patterns, task completion, and performance metrics were complemented by qualitative feedback through user interviews and think-aloud protocols. Results. Results indicate that the neuroadaptive interface significantly improved task efficiency, learner focus, and subjective usability across diverse cognitive profiles. Conclusion. The study concludes that This study demonstrates that real-time biometric feedback can personalize hybrid learning experiences and improve inclusivit.
The Privacy Paradox in Smart Classrooms: Balancing Data-Driven Personalization with Student Data Protection and Ethical Governance Rit Som; Pierre Ndayizeye; Alida Ntahonkiriye
Journal Emerging Technologies in Education Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i1.3187

Abstract

Background: The integration of smart technologies in classrooms has significantly enhanced personalized learning by utilizing data analytics to cater to individual student needs. However, the increasing reliance on student data has raised concerns about privacy, security, and ethical governance, creating what is known as the "privacy paradox." This paradox reflects the tension between the benefits of data-driven personalization and the need to protect student privacy. Purpose: This study aims to explore the privacy paradox in smart classrooms, examining how educational institutions balance the benefits of personalized learning with the ethical responsibilities of student data protection. The research investigates the perceptions of students, teachers, and administrators regarding data privacy and governance practices in smart classrooms. Method: A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews with 200 participants, including students, teachers, and administrators from higher education institutions that use smart classroom technologies. The survey assessed privacy concerns, while interviews provided deeper insights into the ethical dilemmas and data governance practices. Results: The findings revealed a significant gap between students’ concerns about privacy and the confidence administrators had in data protection measures. Students expressed high concern over their data, whereas administrators were more confident in their institution’s data governance, highlighting a lack of transparency. Conclusion: The study underscores the need for improved transparency and ethical governance in smart classrooms to address privacy concerns. Effective data protection policies and communication are essential to balancing data-driven personalization with student privacy.