[HTML][HTML] A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour

M Bond, H Khosravi, M De Laat, N Bergdahl… - International Journal of …, 2024 - Springer
Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a
research domain, never before has the rapid evolution of AI applications in education …

[HTML][HTML] Reinforcement Learning in Education: A Literature Review

B Fahad Mon, A Wasfi, M Hayajneh, A Slim, N Abu Ali - Informatics, 2023 - mdpi.com
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 …

Facilitating knowledge construction in informal learning: A study of TikTok scientific, educational videos

H Nguyen, M Diederich - Computers & Education, 2023 - Elsevier
Social media can facilitate informal learning, where individuals engage in phases of
knowledge construction (sharing ideas, exploring dissonances, negotiating, synthesizing …

[HTML][HTML] Beyond predictive learning analytics modelling and onto explainable artificial intelligence with prescriptive analytics and ChatGPT

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 …

[HTML][HTML] Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models

B Albreiki, T Habuza, N Zaki - International Journal of Educational …, 2022 - Springer
Higher education institutions often struggle with increased dropout rates, academic
underachievement, and delayed graduations. One way in which these challenges can …

[HTML][HTML] Identifying the top predictors of student well-being across cultures using machine learning and conventional statistics

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 …

[HTML][HTML] Student dataset from Tecnologico de Monterrey in Mexico to predict dropout in higher education

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 …

Clustering-based knowledge graphs and entity-relation representation improves the detection of at risk students

B Albreiki, T Habuza, N Palakkal, N Zaki - Education and Information …, 2024 - Springer
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 …

[HTML][HTML] A method for predicting the academic performances of college students based on education system data

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 …

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 …