[HTML][HTML] The dark side of social media platforms: A situation-organism-behaviour-consequence approach

F Jabeen, A Tandon, N Azad, AKMN Islam… - … Forecasting and Social …, 2023 - Elsevier
Research indicates that social media platform (SMP) use may adversely influence university
students' academic performance (AP)—a phenomenon broadly known as the dark side of …

Visual-predictive data analysis approach for the academic performance of students from a Peruvian University

D Orrego Granados, J Ugalde, R Salas, R Torres… - Applied Sciences, 2022 - mdpi.com
The academic success of university students is a problem that depends in a multi-factorial
way on the aspects related to the student and the career itself. A problem with this level of …

[HTML][HTML] Toward a multilevel framework of multicommunicating: Insights from a systematic review

J Jiang, AF Cameron, E Opoku-Mensah - Computers in Human Behavior …, 2023 - Elsevier
With the rise of smartphones, social media, and various digital communication platforms,
multicommunicating (MC) has become prevalent, where individuals simultaneously engage …

Using Machine Learning-based Algorithms to Predict Academic Performance-A Systematic Literature Review

M Wu, G Subramaniam, D Zhu, C Li… - … in Technology and …, 2024 - ieeexplore.ieee.org
The exploration of machine learning applications for predicting students' academic
performance has become a pivotal research domain. This systematic literature review …

Predicting students' academic performance by mining the educational data through machine learning-based classification model

P Nayak, S Vaheed, S Gupta, N Mohan - Education and Information …, 2023 - Springer
Students' academic performance prediction is one of the most important applications of
Educational Data Mining (EDM) that helps to improve the quality of the education process …

Gated Attention Based Deep Learning Model for Analyzing the Influence of Social Media on Education

B Praveen Kumar, AV Kalpana… - Journal of Experimental & …, 2025 - Taylor & Francis
The major aim of education organisation is to ensure better education to students and
reducing the failure percentage of poor students. Early prediction of student's performance is …

Predicting academic performance in mathematics using machine learning algorithms

CA Espinosa-Pinos, I Ayala-Chauvín… - … on Technologies and …, 2022 - Springer
Several factors, directly and indirectly, influence students' performance in their various
activities. Children and adolescents in the education process generate enormous data that …

Predicting academic performance of students with machine learning

YS Balcioğlu, M Artar - Information Development, 2023 - journals.sagepub.com
This study investigates the effectiveness of machine learning and deep learning models for
early prediction of student performance in higher education institutions. Using the Open …

The impact of self-determination theory: the moderating functions of social media (SM) use in education and affective learning engagement

U Alturki, A Aldraiweesh - Humanities and Social Sciences …, 2024 - nature.com
This study attempts to explore the relationship between the two mediator variables effective
learning engagement and educational social media (SM) usage and the study's outcome …

Deciphering dynamic interactions among multidimensional psychological motivations, academic performance, and sociocultural adjustment: The critical influence of …

H Pang, W Ke, W Zhang - Heliyon, 2024 - cell.com
As the preeminent mobile social media platform in Mainland China, WeChat's meteoric
expansion has revolutionized the dynamics of interpersonal communication and the …