[HTML][HTML] The influence of sociodemographic factors on students' attitudes toward AI-generated video content creation

N Pellas - Smart Learning Environments, 2023 - Springer
Abstract Artificial Intelligence (AI) and Machine Learning (ML) technologies offer the
potential to support digital content creation and media production, providing opportunities for …

A comprehensive survey on deep learning techniques in educational data mining

Y Lin, H Chen, W Xia, F Lin, P Wu, Z Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …

Identifying key features of resilient students in digital reading: Insights from a machine learning approach

J Zheng, K Cheung, P Sit - Education and Information Technologies, 2024 - Springer
With the rapid growth of education data in large-scale assessment, machine learning
techniques are crucial to the interdisciplinary development of education and information …

[HTML][HTML] Can machine learning approaches predict green purchase intention?-A study from Indian consumer perspective

N Choudhury, R Mukherjee, R Yadav, Y Liu… - Journal of Cleaner …, 2024 - Elsevier
This paper explores consumer green consumption practices and considers a set of factors,
including cognitive and behavioural level constructs, that influence green consumption. The …

[HTML][HTML] DNA of learning behaviors: A novel approach of learning performance prediction by NLP

CC Lin, ESJ Cheng, AYQ Huang, SJH Yang - Computers and Education …, 2024 - Elsevier
In recent years, the field of learning analytics has gained significant attention as educators
and researchers seek to understand and optimize the learning process in online learning …

[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling

AA Nafea, M Mishlish, AMS Shaban, MM AL-Ani… - Iraqi Journal For …, 2023 - iasj.net
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …

[HTML][HTML] XGBoost To Enhance Learner Performance Prediction

S HAKKAL, AAIT LAHCEN - Computers and Education: Artificial …, 2024 - Elsevier
The huge amount of data generated by an Intelligent Tutoring System becomes useful when
analyzed in an appropriate way to provide significant insights about learners, especially his …

[PDF][PDF] Examining the potential of machine learning for predicting academic achievement: A systematic review

M Nazir, A Noraziah, M Rahmah… - Fusion: Practice and …, 2023 - researchgate.net
Predicting student academic performance is a critical area of education research. Machine
learning (ML) algorithms have gained significant popularity in recent years. The capability to …

Optimizing teaching management in college physical education: A fuzzy neural network approach

R Chen, T Wang, S Kim - Soft Computing, 2023 - Springer
Improving the quality of education through effective teaching evaluation is crucial. A
scientific and rational assessment system for physical education is important. The …

[HTML][HTML] Enhancing academic performance prediction with temporal graph networks for massive open online courses

Q Huang, J Chen - Journal of Big Data, 2024 - Springer
Educational big data significantly impacts education, and Massive Open Online Courses
(MOOCs), a crucial learning approach, have evolved to be more intelligent with these …