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DOI: 10.14569/IJACSA.2025.0160401
PDF

Augmented Sensory Experience and Retention: ASER Framework

Author 1: Samer Alhebaishi
Author 2: Richard Stone

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 4, 2025.

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Abstract: In the process of shifting from traditional teacher-centred systems to more student-engagement ones, Augmented Reality (AR) is coming into its own as a way of improving how information is delivered and received. However, while the use of AR is commonly attributed to increasing engagement, the potential of this technology to support deep, long-term learning is not fully explored. The ASER Framework (Augmented Sensory Experience and Retention) offers a new approach to this gap by integrating emotional memory, interactive storytelling, and gamification within AR environments. After analyzing the current state of AR education research, this study found a lack of frameworks that combine these elements systematically, thus offering a chance to improve cognitive retention and meaningful learning. A multi-sensory model proposes ASER for emotional connection, participation, and knowledge consolidation. The theoretical foundation is strong; however, further empirical validation is required to determine its real-world effectiveness across diverse educational settings. These recommendations provide a starting point for future research and implementation strategies that seek to change the rules of instructional design for engaging and enduring learning experiences.

Keywords: Augmented Reality (AR); emotional memory; inter-active storytelling; gamification; Augmented Sensory Experience and Retention (ASER) Framework

Samer Alhebaishi and Richard Stone, “Augmented Sensory Experience and Retention: ASER Framework” International Journal of Advanced Computer Science and Applications(IJACSA), 16(4), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160401

@article{Alhebaishi2025,
title = {Augmented Sensory Experience and Retention: ASER Framework},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160401},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160401},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {4},
author = {Samer Alhebaishi and Richard Stone}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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