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 …
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Computerized Adaptive Testing (CAT) provides an efficient and tailored method for
assessing the proficiency of examinees, by dynamically adjusting test questions based on …
assessing the proficiency of examinees, by dynamically adjusting test questions based on …
Novel Spectral Algorithms for the Partial Credit Model
The Partial Credit Model (PCM) of Andrich (1978) and Masters (1982) is a fundamental
model within the psychometric literature with wide-ranging modern applications. It models …
model within the psychometric literature with wide-ranging modern applications. It models …
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 …
Can LLMs Mimic Human-Like Mental Accounting and Behavioral Biases?
Y Leng - Available at SSRN 4705130, 2024 - papers.ssrn.com
This paper delves into behavioral biases in the economic decision-making of LLMs across
English, Chinese, Spanish, and French, focusing specifically on mental accounting. Our …
English, Chinese, Spanish, and French, focusing specifically on mental accounting. Our …
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 …
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 …
Towards Explainable Computerized Adaptive Testing with Large Language Model
As intelligent education evolves, it will provide students with multiple personalized learning
services based on their individual abilities. Computerized adaptive testing (CAT) is designed …
services based on their individual abilities. Computerized adaptive testing (CAT) is designed …
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 …
Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
Computerized Adaptive Testing (CAT) aims to select the most appropriate questions based
on the examinee's ability and is widely used in online education. However, existing CAT …
on the examinee's ability and is widely used in online education. However, existing CAT …