Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020
As online learning has been widely adopted in higher education in recent years, artificial
intelligence (AI) has brought new ways for improving instruction and learning in online …
intelligence (AI) has brought new ways for improving instruction and learning in online …
A systematic literature review of student'performance prediction using machine learning techniques
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …
contributing state-of-the-art methods, techniques, and applications. The recent development …
[HTML][HTML] Applying the UTAUT model to explain the students' acceptance of an early warning system in Higher Education
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 …
Utilising learning analytics to support study success in higher education: a systematic review
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 …
largest extent, and the successful completion of individual learning tasks to the smallest …
Perceiving learning at a glance: A systematic literature review of learning dashboard research
BA Schwendimann… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a systematic literature review of the state-of-the-art of research on
learning dashboards in the fields of Learning Analytics and Educational Data Mining …
learning dashboards in the fields of Learning Analytics and Educational Data Mining …
Comparing different resampling methods in predicting students' performance using machine learning techniques
In today's world, due to the advancement of technology, predicting the students' performance
is among the most beneficial and essential research topics. Data Mining is extremely helpful …
is among the most beneficial and essential research topics. Data Mining is extremely helpful …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
Applying learning analytics for the early prediction of Students' academic performance in blended learning
Blended learning combines online digital resources with traditional classroom activities and
enables students to attain higher learning performance through well-defined interactive …
enables students to attain higher learning performance through well-defined interactive …
Predicting student performance from LMS data: A comparison of 17 blended courses using Moodle LMS
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot
of data has become available describing students' online behavior. Many researchers have …
of data has become available describing students' online behavior. Many researchers have …
Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation
Technological advancements have generated a strong interest in exploring learner behavior
data through learning analytics to provide both learner and instructor with process-oriented …
data through learning analytics to provide both learner and instructor with process-oriented …