Promises and challenges of generative artificial intelligence for human learning

L Yan, S Greiff, Z Teuber, D Gašević - Nature Human Behaviour, 2024 - nature.com
Generative artificial intelligence (GenAI) holds the potential to transform the delivery,
cultivation and evaluation of human learning. Here the authors examine the integration of …

Challenges and future directions of big data and artificial intelligence in education

H Luan, P Geczy, H Lai, J Gobert, SJH Yang… - Frontiers in …, 2020 - frontiersin.org
We discuss the new challenges and directions facing the use of big data and artificial
intelligence (AI) in education research, policy-making, and industry. In recent years …

Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education

Y Dai, A Liu, CP Lim - Procedia CIRP, 2023 - Elsevier
Higher education is poised at the precipice of the changes and challenges brought about by
ChatGPT. This paper addresses some of the most fundamental questions about the role …

Educational data mining: prediction of students' academic performance using machine learning algorithms

M Yağcı - Smart Learning Environments, 2022 - Springer
Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

[HTML][HTML] From dual digitalization to digital learning space: Exploring the digital transformation of higher education

B Bygstad, E Øvrelid, S Ludvigsen, M Dæhlen - Computers & Education, 2022 - Elsevier
Inspired by the fast digitalization during the Covid-19 crisis, we investigate a key aspect of
digital transformation of higher education–the emergence of a digital learning space. In …

[HTML][HTML] Predicting student performance using data mining and learning analytics techniques: A systematic literature review

A Namoun, A Alshanqiti - Applied Sciences, 2020 - mdpi.com
Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …

[HTML][HTML] Applying the UTAUT model to explain the students' acceptance of an early warning system in Higher Education

JE Raffaghelli, ME Rodríguez… - Computers & …, 2022 - Elsevier
Artificial intelligence systems such as early warning systems are becoming more common in
Higher Education. However, the students' reactions to such techno-pedagogical innovations …

Predicting academic performance of students from VLE big data using deep learning models

H Waheed, SU Hassan, NR Aljohani, J Hardman… - Computers in Human …, 2020 - Elsevier
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

Utilising learning analytics to support study success in higher education: a systematic review

D Ifenthaler, JYK Yau - Educational Technology Research and …, 2020 - Springer
Study success includes the successful completion of a first degree in higher education to the
largest extent, and the successful completion of individual learning tasks to the smallest …