Purpose This study explores uses of artificial intelligence (AI) in health professions education for non–psychomotor skills training at undergraduate, postgraduate, and …
L Bognár, T Fauszt - Computers and Education: Artificial Intelligence, 2022 - Elsevier
The process for building effective machine learning models that predict the learning success of university students, the competences of the actors involved in model building, and the …
CL Kok, CK Ho, L Chen, YY Koh, B Tian - Applied Sciences, 2024 - mdpi.com
Student attrition poses significant societal and economic challenges, leading to unemployment, lower earnings, and other adverse outcomes for individuals and …
L Zhu, J Hao, J Gan - Interactive Learning Environments, 2024 - Taylor & Francis
ABSTRACT Nowadays, Massive Open Online Courses (MOOC) has been gradually accepted by the public as a new type of education and teaching method. However, due to …
Student enrollment is a vital aspect of educational institutions, encompassing active, registered and graduate students. All the same, some students fail to engage with their …
AK Hamoud, MBM Kamel, AS Gaafar… - Indonesian Journal …, 2022 - pdfs.semanticscholar.org
The educational sector faced many types of research in predicting student performance based on supervised and unsupervised machine learning algorithms. Most students' …
TT Huynh-Cam, LS Chen, TC Lu - Journal of Applied Research in …, 2024 - emerald.com
Purpose This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to …
With the increasing application of Natural Language Processing (NLP) in Medicine at large, medical educators are urged to gain an understanding and implement NLP techniques …
The primary aim of higher education institutions is the successful graduation of their students. This study explores open-access higher education in Morocco, introducing a …