Academic procrastination and online learning during the COVID-19 pandemic
J Melgaard, R Monir, LA Lasrado… - Procedia computer …, 2022 - Elsevier
This paper investigates online learning during the COVID-19 pandemic and explores the
possibility that procrastinators have been impacted differently as compared to others. The …
possibility that procrastinators have been impacted differently as compared to others. The …
[HTML][HTML] Predictive Models for Educational Purposes: A Systematic Review
This systematic literature review evaluates predictive models in education, focusing on their
role in forecasting student performance, identifying at-risk students, and personalising …
role in forecasting student performance, identifying at-risk students, and personalising …
Learning analytics in European higher education—Trends and barriers
Learning analytics (LA) as a research field has grown rapidly over the last decade. However,
adoption of LA is mostly found to be small in scale and isolated at the instructor level. This …
adoption of LA is mostly found to be small in scale and isolated at the instructor level. This …
Educational data mining for student performance prediction: A systematic literature review (2015-2021)
MB Roslan, C Chen - … of Emerging Technologies in Learning (iJET), 2022 - learntechlib.org
This systematic literature review aims to identify the recent research trend, most studied
factors, and methods used to predict student academic performance from 2015 to 2021. The …
factors, and methods used to predict student academic performance from 2015 to 2021. The …
Student engagement and wellbeing over time at a higher education institution
Student engagement is an important factor for learning outcomes in higher education.
Engagement with learning at campus-based higher education institutions is difficult to …
Engagement with learning at campus-based higher education institutions is difficult to …
Large language models in education: Vision and opportunities
W Gan, Z Qi, J Wu, JCW Lin - 2023 IEEE international …, 2023 - ieeexplore.ieee.org
With the rapid development of artificial intelligence technology, large language models
(LLMs) have become a hot research topic. Education plays an important role in human …
(LLMs) have become a hot research topic. Education plays an important role in human …
The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study
A vast number of studies reported exciting innovations and practices in the field of Learning
Analytics (LA). Whilst they provided substantial insights, most of these studies have been …
Analytics (LA). Whilst they provided substantial insights, most of these studies have been …
[PDF][PDF] What is learning analytics
Over the last ten years learning analytics (LA) has grown from a hypothetical future into a
concrete field of inquiry and a global community of researchers and practitioners. Although …
concrete field of inquiry and a global community of researchers and practitioners. Although …
Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization
Reliable prediction of individual learning performance can facilitate timely support to
students and improve the learning experience. In this study, two well‐known machine …
students and improve the learning experience. In this study, two well‐known machine …
Towards teaching analytics: a contextual model for analysis of students' evaluation of teaching through text mining and machine learning classification
Recent trends in educational technology have led to emergence of methods such as
teaching analytics (TA) in understanding and management of the teaching–learning …
teaching analytics (TA) in understanding and management of the teaching–learning …