The potential influence of data mining analytics on the students' learning processes and outcomes has been realized in higher education. Hence, a comprehensive review of …
Learning analytics can improve learning practice by transforming the ways we support learning processes. This study is based on the analysis of 252 papers on learning analytics …
This study examined the extent to which instructional conditions influence the prediction of academic success in nine undergraduate courses offered in a blended learning model (n …
Learning analytics can bridge the gap between learning sciences and data analytics, leveraging the expertise of both fields in exploring the vast amount of data generated in …
B Daniel - British journal of educational technology, 2015 - Wiley Online Library
Institutions of higher education are operating in an increasingly complex and competitive environment. This paper identifies contemporary challenges facing institutions of higher …
F Navaridas-Nalda, M Clavel-San Emeterio… - Computers in Human …, 2020 - Elsevier
This paper analyzes the key factors for the successful digital transformation of schools through the use of Educational Digital Resources (EDRs), paying special attention to school …
By collecting longitudinal learner and learning data from a range of resources, predictive learning analytics (PLA) are used to identify learners who may not complete a course …
T Yu, J Dai, C Wang - Humanities and Social Sciences …, 2023 - nature.com
Against the backdrop of the deep integration of the Internet with learning, blended learning offers the advantages of combining online and face-to-face learning to enrich the learning …
E Okewu, P Adewole, S Misra… - Applied Artificial …, 2021 - Taylor & Francis
Efforts to raise the bar of higher education so as to respond to dynamic societal/industry needs have led to a number of initiatives, including artificial neural network (ANN) based …