Analysis and prediction of students' academic performance based on educational data mining
G Feng, M Fan, Y Chen - IEEE Access, 2022 - ieeexplore.ieee.org
The development of intelligent technologies gains popularity in the education field. The
rapid growth of educational data indicates traditional processing methods may have …
rapid growth of educational data indicates traditional processing methods may have …
Research on learning behavior patterns from the perspective of educational data mining: Evaluation, prediction and visualization
G Feng, M Fan - Expert Systems with Applications, 2024 - Elsevier
The rapid growth of educational data creates the requirement to mine useful information
from learning behavior patterns. The development of data mining technology makes …
from learning behavior patterns. The development of data mining technology makes …
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 …
An interpretable polytomous cognitive diagnosis framework for predicting examinee performance
As a fundamental task of intelligent education, deep learning-based cognitive diagnostic
models (CDMs) have been introduced to effectively model dichotomous testing data …
models (CDMs) have been introduced to effectively model dichotomous testing data …
ICD: A new interpretable cognitive diagnosis model for intelligent tutor systems
Numerous models have been proposed for cognitive diagnosis in intelligent tutoring
systems. However, the existing models still have room for improvement:(1) they ignore the …
systems. However, the existing models still have room for improvement:(1) they ignore the …
A novel quantitative relationship neural network for explainable cognitive diagnosis model
Cognitive diagnosis is a fundamental task to assist personalized learning in education, and
aims to discover learners' proficiency in knowledge concepts. Because cognitive diagnosis …
aims to discover learners' proficiency in knowledge concepts. Because cognitive diagnosis …
Predicting and comparing students' online and offline academic performance using machine learning algorithms
B Holicza, A Kiss - Behavioral Sciences, 2023 - mdpi.com
Due to COVID-19, the researching of educational data and the improvement of related
systems have become increasingly important in recent years. Educational institutions seek …
systems have become increasingly important in recent years. Educational institutions seek …
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Cognitive Diagnosis (CD), which leverages students and exercise data to predict students'
proficiency levels on different knowledge concepts, is one of fundamental components in …
proficiency levels on different knowledge concepts, is one of fundamental components in …
Applications of deep learning method of artificial intelligence in education
F Zhang, X Wang, X Zhang - Education and Information Technologies, 2024 - Springer
Intersection of education and deep learning method of artificial intelligence (AI) is gradually
becoming a hot research field. Education will be profoundly transformed by AI. The purpose …
becoming a hot research field. Education will be profoundly transformed by AI. The purpose …
Exploring the relationship between metacognitive awareness and Chinese EFL learners' listening skills
Y Fu, M Wang, S Min, S Zhou, X Pan - Frontiers in Psychology, 2023 - frontiersin.org
Listening causes great difficulties for EFL learners and little is known concerning the
contribution of EFL learners' metacognitive awareness to their listening performance and to …
contribution of EFL learners' metacognitive awareness to their listening performance and to …