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 survey on deep learning techniques in educational data mining
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …
the power of computational techniques to analyze educational data. With the increasing …
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 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 …
A survey of models for cognitive diagnosis: New developments and future directions
Cognitive diagnosis has been developed for decades as an effective measurement tool to
evaluate human cognitive status such as ability level and knowledge mastery. It has been …
evaluate human cognitive status such as ability level and knowledge mastery. It has been …
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 …
Adard: An adaptive response denoising framework for robust learner modeling
Learner modeling is a crucial task in online learning environments, where Cognitive
Diagnosis Models (CDMs) are employed to assess learners' knowledge mastery levels …
Diagnosis Models (CDMs) are employed to assess learners' knowledge mastery levels …
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems
Cognitive diagnosis aims to gauge students' mastery levels based on their response logs.
Serving as a pivotal module in web-based online intelligent education systems (WOIESs), it …
Serving as a pivotal module in web-based online intelligent education systems (WOIESs), it …
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
Cognitive diagnosis seeks to estimate the cognitive states of students by exploring their
logged practice quiz data. It plays a pivotal role in personalized learning guidance within …
logged practice quiz data. It plays a pivotal role in personalized learning guidance within …
Type diversity maximization aware coursewares crowdcollection with limited budget in MOOCs
Massive open online courses (MOOCs) require coursewares with different types of course
resources recommended to learners based on their learning situations to meet personalized …
resources recommended to learners based on their learning situations to meet personalized …