The utilization of reinforcement learning (RL) within the field of education holds the potential to bring about a significant shift in the way students approach and engage with learning and …
Social media can facilitate informal learning, where individuals engage in phases of knowledge construction (sharing ideas, exploring dissonances, negotiating, synthesizing …
T Susnjak - International Journal of Artificial Intelligence in …, 2023 - Springer
A significant body of recent research in the field of Learning Analytics has focused on leveraging machine learning approaches for predicting at-risk students in order to initiate …
Higher education institutions often struggle with increased dropout rates, academic underachievement, and delayed graduations. One way in which these challenges can …
RB King, Y Wang, L Fu, SO Leung - Scientific Reports, 2024 - nature.com
Alongside academic learning, there is increasing recognition that educational systems must also cater to students' well-being. This study examines the key factors that predict …
J Alvarado-Uribe, P Mejía-Almada, AL Masetto Herrera… - Data, 2022 - mdpi.com
High dropout rates and delayed completion in higher education are associated with considerable personal and social costs. In Latin America, 50% of students drop out, and only …
The nature of education has been transformed by technological advances and online learning platforms, providing educational institutions with more options than ever to thrive in …
C Liu, H Wang, Z Yuan - Mathematics, 2022 - mdpi.com
With the development of university campus informatization, effective information mined from fragmented data can greatly improve the management levels of universities and the quality …
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 …