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• 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 ...

Drug recommendation is one of the most crucial research topics in smart healthcare. Its goal is to provide a set of safe drug combination based on the patient’s electronic health records (EHRs). Drug recommendation is challenging because it is ...

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• Drug recommendation aims to suggest effective and safe drugs based on the patients’ medical history records.
• RASNet could address the noisy data problem caused by periodic changes due to chronic diseases.
• The exponential controller ...

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 ...

Entities and relations extraction are the key tasks in the construction of biomedical knowledge graph, which play an important role in the biomedical artificial intelligence. However, extraction of entities and relations from biomedical texts is ...

• Joint extraction is to recognize biomedical entities and relations simultaneously.
• Feature partition encoding divides neurons into entity, relation, shared partition.
• Relative positional embedding benefits both entities and ...

Knowledge tracing (KT), in which the future performance of students is estimated by tracing their knowledge states based on their responses to exercises, is widely applied in the field of intelligent education. However, existing mainstream KT ...

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 ...

Measuring student growth and providing diagnostic feedback are core components of cognitive diagnostic assessment. However, most current cognitive diagnostic models solely rely on data from a single occasion to diagnose student skill states, ...

Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in ...

The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized ...

Recently, working memory models have been used in knowledge tracing to improve prediction performance, which is a cognitive system with limited processing capacity enabling short-term storage of information. However, existing versions do not model ...

In online learning systems, tagging knowledge points for questions is a fundamental task. Automatic tagging technology uses intelligent algorithms to automatically tag knowledge points for questions to reduce manpower and time costs. However, the current ...

The domain knowledge graph is the key to help realize personalized education as the basic program for realizing intelligent diagnosis. As the foundation of science and engineering studies such as mathematics, physics and chemistry, operation is also one ...

With the development of the economy, people’s living standards continue to improve, and the management awareness of their own health and safety has gradually increased. The human body usually has a long process of transition from being healthy to the ...

With the rapidly growing demand for large-scale online education and the advent of big data, numerous research works have been performed to enhance learning quality in e-learning environments. Among these studies, adaptive learning has become an ...