Data-Centric Multimodal Explainable Artificial Intelligence for  Transparent Adaptive Learning Systems

Ahmed Abdulaali Abdulsayed

Data-Centric Multimodal Explainable Artificial Intelligence for Transparent Adaptive Learning Systems

Authors

Ahmed Abdulaali Abdulsayed

Keywords:

Multimodal AI, Explainable AI, Data-Centric, Education, Air Traffic Management

Abstract

Given the evolving world of artificial intelligence, criticalapplications like education and air traffic management (ATM) need
explainable and adaptive systems. This study envisions a data-centricmultimodal explainable AI (XAI) framework that integrates heterogeneous data—text, images

References

Y. Rong et al., Towards Human-centered Explainable Al: A Survey of User Studies for Model Explanations'. arXiv, Sep. 05, 2023. Accessed: Oct. 01, 2023. [Online]. Available: http://arxiv.org/abs/2210.11584

S. Ratcliffe, Automation in Air Traffic Management, The Journal of Navigation, vol. 38, no. 3, pp. 405-412, Sep. 1985, doi:10.1017/S0373463300032768.

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Published

2025-08-23

How to Cite

Ahmed Abdulaali Abdulsayed. (2025). Data-Centric Multimodal Explainable Artificial Intelligence for Transparent Adaptive Learning Systems . Journal of Computational Analysis and Applications (JoCAAA), 34(8), 80–97. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3475