Nov 15, 2023 · We propose a new deep neural cognitive framework for cross-modal exercises, namely CMNCD. In CMNCD, the rich visual and textual contents of ...

Nov 15, 2023 · In intelligent education systems, one fundamental task is to predict student performance on new exercises and estimate the knowledge ...

§4.1 gives a review of relevant research using machine learning models for cognitive diagnosis before deep learning-based methods become popular.

A deep cross-modal neural cognitive diagnosis framework for modeling student performance. https://doi.org/10.1016/j.eswa.2023.120675 ·. Journal: Expert ...

Jul 7, 2024 · This paper aims to provide a survey of current models for cognitive diagnosis, with more attention on new developments using machine learning-based methods.

Jun 27, 2024 · A deep cross-modal neural cognitive diagnosis framework for modeling student performance. Expert Systems with Applications, 120675. STÆHR ...

Feb 1, 2024 · Student performance prediction is a critical task in supporting decision-making for Intelligent Tutoring Systems (ITS).

In this paper, we propose a general Neural Cognitive Diagnosis (NeuralCD) framework as well as several implemented models (a basic implementation NeuralCDM and ...

A deep cross-modal neural cognitive diagnosis framework for modeling student performance. Expert Systems with Applications, 120675. Stæhr, L. S. 2008 ...

3531–3539). Song, A deep cross-modal neural cognitive diagnosis framework for modeling student performance, Expert Systems with Applications https://doi.org ...