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AI-based personalized e-learning systems: Issues, challenges, and solutions
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 …
compared to a conventional e-learning system, which provides similar contents to each …
Text-based question difficulty prediction: A systematic review of automatic approaches
Designing and constructing pedagogical tests that contain items (ie questions) which
measure various types of skills for different levels of students equitably is a challenging task …
measure various types of skills for different levels of students equitably is a challenging task …
Disentangling cognitive diagnosis with limited exercise labels
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 …
students' proficiency in specific knowledge concepts. Given a fully labeled exercise-concept …
Modeling context-aware features for cognitive diagnosis in student learning
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 …
implicit cognitive states, such as the preference and the proficiency on specific knowledge …
Knowledge-sensed cognitive diagnosis for intelligent education platforms
Cognitive diagnosis is a fundamental issue of intelligent education platforms, whose goal is
to reveal the mastery of students on knowledge concepts. Recently, certain efforts have …
to reveal the mastery of students on knowledge concepts. Recently, certain efforts have …
Deep cognitive diagnosis model for predicting students' performance
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 …
recommending learning resources. Thus, it has received a great deal of attention from …
A survey on recent approaches to question difficulty estimation from text
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 …
Processing techniques to the estimation of a value, either numerical or categorical, which …
Multi-factors aware dual-attentional knowledge tracing
With the increasing demands of personalized learning, knowledge tracing has become
important which traces students' knowledge states based on their historical practices. Factor …
important which traces students' knowledge states based on their historical practices. Factor …
Generating better items for cognitive assessments using large language models
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 …
traditionally also been a time-consuming process. One promising avenue for alleviating this …
A deep cross-modal neural cognitive diagnosis framework for modeling student performance
In intelligent education systems, one fundamental task is to predict student performance on
new exercises and estimate the knowledge proficiency of students on knowledge concepts …
new exercises and estimate the knowledge proficiency of students on knowledge concepts …