Leveraging transferable knowledge concept graph embedding for cold-start cognitive diagnosis
Cognitive diagnosis (CD) aims to reveal the proficiency of students on specific knowledge
concepts and traits of test exercises (eg, difficulty). It plays a critical role in intelligent …
concepts and traits of test exercises (eg, difficulty). It plays a critical role in intelligent …
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations
With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …
attention as an integral part of intelligent education. China, the United States, the European …
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …
Disentangling cognitive diagnosis with limited exercise labels
Cognitive diagnosis is an important task in intelligence education, which aims at measuring
students' proficiency in specific knowledge concepts. Given a fully labeled exercise-concept …
students' proficiency in specific knowledge concepts. Given a fully labeled exercise-concept …
A deep cross-modal neural cognitive diagnosis framework for modeling student performance
In intelligent education systems, one fundamental task is to predict student performance on
new exercises and estimate the knowledge proficiency of students on knowledge concepts …
new exercises and estimate the knowledge proficiency of students on knowledge concepts …
Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective
Cognitive Diagnosis has been widely investigated as a fundamental task in the field of
education, aiming at effectively assessing the students' knowledge proficiency level by …
education, aiming at effectively assessing the students' knowledge proficiency level by …
Rdgt: enhancing group cognitive diagnosis with relation-guided dual-side graph transformer
Cognitive diagnosis has been widely recognized as a crucial task in the field of
computational education, which is capable of learning the knowledge profiles of students …
computational education, which is capable of learning the knowledge profiles of students …
PTADisc: a cross-course dataset supporting personalized learning in cold-start scenarios
The focus of our work is on diagnostic tasks in personalized learning, such as cognitive
diagnosis and knowledge tracing. The goal of these tasks is to assess students' latent …
diagnosis and knowledge tracing. The goal of these tasks is to assess students' latent …
Relicd: a reliable cognitive diagnosis framework with confidence awareness
During the past few decades, cognitive diagnostics modeling has attracted increasing
attention in computational education communities, which is capable of quantifying the …
attention in computational education communities, which is capable of quantifying the …
QCCDM: A q-augmented causal cognitive diagnosis model for student learning
Cognitive diagnosis is vital for intelligent education to determine students' knowledge
mastery levels from their response logs. The Q-matrix, representing the relationships …
mastery levels from their response logs. The Q-matrix, representing the relationships …