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Designing Transparent and Adaptive Evaluation Systems in AI-Based Learning Environments
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Author(s): Hossein Abdi (Islamic Azad University, UAE)
Copyright: 2026
Pages: 18
Source title:
AI-Augmented Creativity in Learning Analytics
Source Author(s)/Editor(s): Stavroula Kalogeras (Heriot-Watt University, UAE), Sepideh Samadi (Heriot-Watt University, UAE)and Hamed Nozari (Independent Researcher, Australia)
DOI: 10.4018/979-8-3373-5117-9.ch011
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Abstract
In this study, a new framework for designing adaptive and transparent assessment systems in smart learning environments is presented. Relying on large language models and modular architecture, a four-layer structure including data analysis, cognitive processing, adaptive decision-making, and explanatory feedback is designed that responds to educational and training needs with an ethics-based approach. Considerations related to algorithmic transparency, educational justice, psychological support, and privacy protection are integrated into this framework. The results show that such systems can enable meaningful and human learning in the context of advanced technologies.
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