[HTML][HTML] 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 …
largest extent, and the successful completion of individual learning tasks to the smallest …
[HTML][HTML] A systematic review on trends in using Moodle for teaching and learning
Abstract Background The Moodle Learning Management System (LMS) is widely used in
online teaching and learning, especially in STEM education. However, educational research …
online teaching and learning, especially in STEM education. However, educational research …
Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
[HTML][HTML] Postdigital education in design and practice
T Fawns - Postdigital science and education, 2019 - Springer
Digital education is one of a number of terms (including e-learning, technology-enhanced
learning, online learning, blended learning) that have seen increasing use in educational …
learning, online learning, blended learning) that have seen increasing use in educational …
[HTML][HTML] The longitudinal association between engagement and achievement varies by time, students' profiles, and achievement state: A full program study
There is a paucity of longitudinal studies in online learning across courses or throughout
programs. Our study intends to add to this emerging body of research by analyzing the …
programs. Our study intends to add to this emerging body of research by analyzing the …
[HTML][HTML] Students matter the most in learning analytics: The effects of internal and instructional conditions in predicting academic success
Predictive modelling of academic success and retention has been a key research theme in
Learning Analytics. While the initial work on predictive modelling was focused on the …
Learning Analytics. While the initial work on predictive modelling was focused on the …
Study on student performance estimation, student progress analysis, and student potential prediction based on data mining
F Yang, FWB Li - Computers & Education, 2018 - Elsevier
Student performance, student progress and student potential are critical for measuring
learning results, selecting learning materials and learning activities. However, existing work …
learning results, selecting learning materials and learning activities. However, existing work …
[HTML][HTML] DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era
Abstract Coronavirus (Covid-19) pandemic has imposed a complete shut-down of face-to-
face teaching to universities and schools, forcing a crash course for online learning plans …
face teaching to universities and schools, forcing a crash course for online learning plans …
Student performance prediction based on blended learning
Z Xu, H Yuan, Q Liu - IEEE Transactions on Education, 2020 - ieeexplore.ieee.org
Contribution: This article explored blended learning by implementing a student-centered
teaching method based on the flipped classroom and small private online course (SPOC) …
teaching method based on the flipped classroom and small private online course (SPOC) …