An interpretable polytomous cognitive diagnosis framework for predicting examinee performance
As a fundamental task of intelligent education, deep learning-based cognitive diagnostic
models (CDMs) have been introduced to effectively model dichotomous testing data …
models (CDMs) have been introduced to effectively model dichotomous testing data …
Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach
Ability assessment is a critical task in talent recruitment that aims to identify the most suitable
job candidates by evaluating the alignment of their skills with job requirements. Indeed …
job candidates by evaluating the alignment of their skills with job requirements. Indeed …
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
Knowledge Tracing (KT) predicts future performance by modeling students' historical
interactions, and understanding students' affective states can enhance the effectiveness of …
interactions, and understanding students' affective states can enhance the effectiveness of …
Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing
Knowledge Tracing (KT) aims to trace changes in students' knowledge states throughout
their entire learning process by analyzing their historical learning data and predicting their …
their entire learning process by analyzing their historical learning data and predicting their …
Dual-State Personalized Knowledge Tracing with Emotional Incorporation
Knowledge tracing has been widely used in online learning systems to guide the students'
future learning. However, most existing KT models primarily focus on extracting abundant …
future learning. However, most existing KT models primarily focus on extracting abundant …
Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts
Cognitive diagnosis (CD) aims to reveal students' proficiency in specific knowledge
concepts. With the increasing adoption of intelligent education applications, accurately …
concepts. With the increasing adoption of intelligent education applications, accurately …
Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
K Xiao, R Xing, M Zhang, S Tan, Z Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Cognitive diagnosis is a fundamental and critical task in learning assessment, which aims to
infer students' proficiency on knowledge concepts from their response logs. Current works …
infer students' proficiency on knowledge concepts from their response logs. Current works …
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process
S Wang, X Zhang, K Wang, X Yang, X Zhang - arXiv preprint arXiv …, 2024 - arxiv.org
The Knowledge Tracing (KT) task focuses on predicting a learner's future performance
based on the historical interactions. The knowledge state plays a key role in learning …
based on the historical interactions. The knowledge state plays a key role in learning …
Fair Personalized Learner Modeling Without Sensitive Attributes
Personalized learner modeling uses learners' historical behavior data to diagnose their
cognitive abilities, a process known as Cognitive Diagnosis (CD) in the literature. This is a …
cognitive abilities, a process known as Cognitive Diagnosis (CD) in the literature. This is a …
Mhcd: Multi-Hierarchy Interactive Constraint-Aware Cognitive Diagnosis Framework
Cognitive Diagnosis (CD) is a fundamental aspect of educational data mining that focuses
on assessing students' mastery of specific knowledge domains by analyzing their response …
on assessing students' mastery of specific knowledge domains by analyzing their response …