Search Results

• Tri-channel fusion in neurocognitive diagnostic model.
• Attention mechanism enhances cognitive feature fusion.
• Improved accuracy in modeling high-dimensional features.

Cognitive diagnostics is a pivotal area within educational data mining, focusing on deciphering students’ cognitive status via their academic performance. Traditionally, cognitive diagnostic models (CDMs) have evolved from manually designed ...

Knowledge Tracing (KT) is a critical service in distance education, predicting students' future performance based on their responses to learning resources. The reasonable assessment of the knowledge state, along with accurate response prediction, is ...

Educators dynamically adjust their teaching strategies by tracing the development of students’ knowledge states. Knowledge Tracing (KT) plays a role similar to that of educators in online teaching. By analyzing past performances, KT identifies ...

• We employ option weights to refine student performance.
• We simultaneously predict correctness and option to identify specific errors.
• Combining cognitive theory with deep learning techniques for expert structure.
• Three experts ...

The primary objective of knowledge tracing (KT) is to trace learners’ changing knowledge states and predict their future performance by analyzing their learning trajectories. One of the fundamental assumptions underpinning KT is that estimating ...

• We propose two steps of consistency between performance and knowledge state in KT.
• We add an extra response speed prediction task for KT with multi-task learning.
• We design and optimize an encoder–decoder–predictor framework for ...