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 …
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 …
EduStudio: towards a unified library for student cognitive modeling
Student cognitive modeling is a fundamental task in the intelligence education field. It serves
as the basis for various downstream applications, such as student profiling, personalized …
as the basis for various downstream applications, such as student profiling, personalized …
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems
Cognitive diagnosis models (CDMs) are designed to learn students' mastery levels using
their response logs. CDMs play a fundamental role in online education systems since they …
their response logs. CDMs play a fundamental role in online education systems since they …
Cost-efficient fraud risk optimization with submodularity in insurance claim
The fraudulent insurance claim is critical for the insurance industry. Insurance companies or
agency platforms aim to confidently estimate the fraud risk of claims by gathering data from …
agency platforms aim to confidently estimate the fraud risk of claims by gathering data from …
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 …
LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment
Customer segmentation plays a crucial role in credit risk assessment by dividing users into
specific risk levels based on their credit scores. Previous methods fail to comprehensively …
specific risk levels based on their credit scores. Previous methods fail to comprehensively …
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings
The field of education has undergone a significant revolution with the advent of intelligent
systems and technology, which aim to personalize the learning experience, catering to the …
systems and technology, which aim to personalize the learning experience, catering to the …
Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems
Cognitive diagnosis is a vital upstream task in intelligent education systems. It models the
student-exercise interaction, aiming to infer the students' proficiency levels on each …
student-exercise interaction, aiming to infer the students' proficiency levels on each …
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
Cognitive diagnosis aims to infer students' mastery levels based on their historical response
logs. However, existing cognitive diagnosis models (CDMs), which rely on ID embeddings …
logs. However, existing cognitive diagnosis models (CDMs), which rely on ID embeddings …