Integrated social cognitive theory with learning input factors: The effects of problem-solving skills and critical thinking skills on learning performance sustainability

MA Almulla, WM Al-Rahmi - Sustainability, 2023 - mdpi.com
E-learning is expected to become a common teaching and learning approach in educational
institutions in the near future; thus, the success of e-learning initiatives must be ensured in …

Predicting students' performance in e-learning using learning process and behaviour data

F Qiu, G Zhang, X Sheng, L Jiang, L Zhu, Q Xiang… - Scientific Reports, 2022 - nature.com
E-learning is achieved by the deep integration of modern education and information
technology, and plays an important role in promoting educational equity. With the …

An evaluation model based on procedural behaviors for predicting MOOC learning performance: students' online learning behavior analytics and algorithms …

Y Tong, Z Zhan - Interactive Technology and Smart Education, 2023 - emerald.com
Purpose The purpose of this study is to set up an evaluation model to predict massive open
online courses (MOOC) learning performance by analyzing MOOC learners' online learning …

E-learning performance prediction: Mining the feature space of effective learning behavior

F Qiu, L Zhu, G Zhang, X Sheng, M Ye, Q Xiang… - Entropy, 2022 - mdpi.com
Learning analysis provides a new opportunity for the development of online education, and
has received extensive attention from scholars at home and abroad. How to use data and …

SA-FEM: Combined Feature Selection and Feature Fusion for Students' Performance Prediction

M Ye, X Sheng, Y Lu, G Zhang, H Chen, B Jiang, S Zou… - Sensors, 2022 - mdpi.com
Around the world, the COVID-19 pandemic has created significant obstacles for education,
driving people to discover workarounds to maintain education. Because of the excellent …

Use of behavior dynamics to improve early detection of at-risk students in online courses

H Huang, S Yuan, T He, R Hou - Mobile Networks and Applications, 2022 - Springer
Online learning has developed rapidly, but the success rate is very low. Hence, it is of great
significance to construct a learning result predicting model, and to quickly and accurately …

SA-FGDEM: A Self-adaptive E-Learning Performance Prediction Model

M Ye, L Wang, J Zhang, X Sheng… - 2022 IEEE 9th …, 2022 - ieeexplore.ieee.org
With the rapid development of computer computing power and the severe challenges
brought by the COVID-19, e-learning, as the optimal solution for most students and other …

Study on Feature Engineering and Ensemble Learning for Student Academic Performance Prediction

X Du, Y Chen, X Zhang, Y Guo - International Journal of …, 2022 - search.proquest.com
Student academic performance prediction is one of the important works in the teaching
management, which can realize accurate management, scientific teaching and personalized …

Early Detecting the At-risk Students in Online Courses Based on Their Behavior Sequences

S Yuan, H Huang, T He, R Hou - … Conference, BDTA 2020, and 13th EAI …, 2021 - Springer
Online learning has developed rapidly, but the participation of learners is very low. So it is of
great significance to construct a prediction model of learning results, to identify students at …

Research on Academic Prediction and Intervention From the Perspective of Educational Big Data

X Du, S Ge, N Wang - International Journal of Information and …, 2022 - igi-global.com
In the context of education big data, it uses data mining and learning analysis technology to
accurately predict and effectively intervene in learning. It is helpful to realize individualized …