A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

Question Difficulty Estimation from Text (QDET) is the application of Natural Language
Processing techniques to the estimation of a value, either numerical or categorical, which …

Cognitive diagnosis is an important task in intelligence education, which aims at measuring
students' proficiency in specific knowledge concepts. Given a fully labeled exercise-concept …

Cognitive model is playing very important role in predicting students' performance and
recommending learning resources. Thus, it has received a great deal of attention from …

With the increasing demands of personalized learning, knowledge tracing has become
important which traces students' knowledge states based on their historical practices. Factor …

The contexts and cultures have a direct impact on student learning by affecting student's
implicit cognitive states, such as the preference and the proficiency on specific knowledge …

Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their
responses to questions, used in fields as diverse as education, medicine and psychology …

As a pivotal technique in intelligent education systems, cognitive diagnosis (CD) serves to
reveal students' knowledge proficiency for better tackling subsequent tasks. Unfortunately …

Writing high-quality test questions (items) is critical to building educational measures but has
traditionally also been a time-consuming process. One promising avenue for alleviating this …

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 …