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 …
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
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 …
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
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 …
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 …
International students face unique challenges in pursuing higher education in a foreign
country. To address these challenges and enhance their academic experience, higher …
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 …
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 …
Higher Education. However, the students' reactions to such techno-pedagogical innovations …
Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education
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 …
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
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …
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 …
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 …
importance and momentum, in order to better understand and optimize the learning process …