This study presents a novel model-agnostic framework that integrates large language models (LLMs) with cognitive diagnosis models (CDMs) to enhance the accuracy and robustness of cognitive assessments ...

Cognitive diagnostic assessment and modelling represents an evolving frontier in educational measurement by providing detailed profiles of individuals’ mastery of specific skills and knowledge ...

This research presents a groundbreaking approach to addressing the zero-shot cross-domain cognitive diagnosis (ZCCD) challenge in intelligent education systems through the innovative application of ...

Combining large language models with traditional methods enhances accuracy in identifying early signs of cognitive decline, offering new hope for early diagnosis. Study: Enhancing early detection of ...

The symptom profiles of different neurodegenerative diseases often overlap, and diagnosing age-related cognitive symptoms is complex. A patient may have multiple overlapping disease processes in the ...