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 …
OmniLearn: A Method to Simultaneously Facilitate All Jet Physics Tasks
V Mikuni, B Nachman - arxiv preprint arxiv:2404.16091, 2024 - arxiv.org
Machine learning has become an essential tool in jet physics. Due to their complex, high-
dimensional nature, jets can be explored holistically by neural networks in ways that are not …
dimensional nature, jets can be explored holistically by neural networks in ways that are not …
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 …
FDKT: Towards an interpretable deep knowledge tracing via fuzzy reasoning
In educational data mining, knowledge tracing (KT) aims to model learning performance
based on student knowledge mastery. Deep-learning-based KT models perform remarkably …
based on student knowledge mastery. Deep-learning-based KT models perform remarkably …
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 …
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 …
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
Learners sharing similar implicit cognitive states often display comparable observable
problem-solving performances. Leveraging collaborative connections among such similar …
problem-solving performances. Leveraging collaborative connections among such similar …
A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments
Cognitive diagnosis model (CDM) is a fundamental and upstream component in intelligent
education. It aims to infer students' mastery levels based on historical response logs …
education. It aims to infer students' mastery levels based on historical response logs …
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
Personalized learning represents a promising educational strategy within intelligent
educational systems, aiming to enhance learners' practice efficiency. However, the …
educational systems, aiming to enhance learners' practice efficiency. However, the …
Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
K **ao, R **ng, 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 …