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 …

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 …

[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 …

Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student …

T Wang, BD Lund, A Marengo, A Pagano… - Applied Sciences, 2023 - mdpi.com
International students face unique challenges in pursuing higher education in a foreign
country. To address these challenges and enhance their academic experience, higher …

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] 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 …

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 …

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 …

A review of using machine learning approaches for precision education

H Luan, CC Tsai - Educational Technology & Society, 2021 - JSTOR
In recent years, in the field of education, there has been a clear progressive trend toward
precision education. As a rapidly evolving AI technique, machine learning is viewed as an …

An overview and comparison of supervised data mining techniques for student exam performance prediction

N Tomasevic, N Gvozdenovic, S Vranes - Computers & education, 2020 - Elsevier
Recent increase in the availability of learning data has given educational data mining an
importance and momentum, in order to better understand and optimize the learning process …