From Distraction to Engagement: A Digital Ecosystem Model for Sustaining Student Attention in Higher Education

DOI

10.2991/978-2-38476-618-5_15How to use a DOI?

Keywords

Student attention; digital learning; outcome-based education; student engagement; higher education

Abstract

This paper addresses the growing challenge of declining student attention spans in digitally mediated higher education environments and proposes a structured conceptual framework to address it. While digital learning ecosystems have enhanced accessibility, flexibility, and personalization of learning experiences, they have also intensified cognitive overload, multitasking, and fragmented attention among students. Existing frameworks such as TPACK, SAMR, and the Community of Inquiry emphasize technology integration, pedagogy, and interaction but do not explicitly conceptualize attention as a measurable and designable instructional outcome. This study introduces the A.R.E.A. (Attention–Retention–Engagement–Analytics) framework, grounded in Cognitive Load Theory, Flow Theory, Constructivist Learning Theory, and Self-Determination Theory. The framework provides a layered and cyclical approach to capturing, sustaining, deepening, and adapting student attention through structured pedagogical interventions and analytics-driven feedback mechanisms. It integrates attention-triggering strategies, retention mechanisms, engagement loops, and adaptive analytics into a unified digital ecosystem model. Adopting a conceptual research methodology, the paper synthesizes high-quality literature to identify critical gaps and develop theoretical propositions linking digital pedagogical strategies with sustained attention and improved learning outcomes. The framework aligns with outcome-based education and data-driven quality assurance practices in higher education. By repositioning attention as a core instructional outcome, this study contributes a scalable and practical model for enhancing student engagement and academic effectiveness in contemporary digital learning ecosystems.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - P. Leslie Dass
PY  - 2026
DA  - 2026/10/06
TI  - From Distraction to Engagement: A Digital Ecosystem Model for Sustaining Student Attention in Higher Education
BT  - Proceedings of the 18th National IQAC Conference (ICon 2026)
PB  - Atlantis Press
SP  - 165
EP  - 173
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-618-5_15
DO  - 10.2991/978-2-38476-618-5_15
ID  - Dass2026
ER  -