Large language models for education: A survey and outlook

S Wang, T Xu, H Li, C Zhang, J Liang, J Tang… - arxiv preprint arxiv …, 2024 - arxiv.org
The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

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 …

Profiling students' learning engagement in MOOC discussions to identify learning achievement: An automated configurational approach

Z Liu, Q Tang, F Ouyang, T Long, S Liu - Computers & Education, 2024 - Elsevier
Abstract In the Massive Online Open Course (MOOC) forum, learning engagement
encompasses three fundamental dimensions—cognitive, emotional, and behavioral …

AI student success predictor: Enhancing personalized learning in campus management systems

M Shoaib, N Sayed, J Singh, J Shafi, S Khan… - Computers in Human …, 2024 - Elsevier
Abstract Campus Management Systems (CMSs) are vital tools in managing educational
institutions, handling tasks like student enrollment, scheduling, and resource allocation. The …

Notice of retraction: Designing XR into higher education using immersive learning environments (ILES) and hybrid education for innovation in HEIs to attract UN's …

A Alam - 2021 international conference on advances in …, 2021 - ieeexplore.ieee.org
Notice of Retraction “Designing XR into Higher Education using Immersive Learning
Environments (ILEs) and Hybrid Education for Page 1 Notice of Retraction “Designing XR into …

A systematic review on trends in using Moodle for teaching and learning

SHPW Gamage, JR Ayres, MB Behrend - International journal of STEM …, 2022 - Springer
Abstract Background The Moodle Learning Management System (LMS) is widely used in
online teaching and learning, especially in STEM education. However, educational research …

[HTML][HTML] The longitudinal association between engagement and achievement varies by time, students' profiles, and achievement state: A full program study

M Saqr, S López-Pernas, S Helske, S Hrastinski - Computers & Education, 2023 - Elsevier
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 …

Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018 - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

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 …

Student performance analysis and prediction in classroom learning: A review of educational data mining studies

A Khan, SK Ghosh - Education and information technologies, 2021 - Springer
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 …