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 …
Applications of learning analytics in high schools: A systematic literature review
Learning analytics aims to analyze data from students and learning environments to support
learning at different levels. Although learning analytics is a recent field, it reached a high …
learning at different levels. Although learning analytics is a recent field, it reached a high …
Profiling students' learning engagement in MOOC discussions to identify learning achievement: An automated configurational approach
Abstract In the Massive Online Open Course (MOOC) forum, learning engagement
encompasses three fundamental dimensions—cognitive, emotional, and behavioral …
encompasses three fundamental dimensions—cognitive, emotional, and behavioral …
A new era: Intelligent tutoring systems will transform online learning for millions
F St-Hilaire, DD Vu, A Frau, N Burns, F Faraji… - arXiv preprint arXiv …, 2022 - arxiv.org
Despite artificial intelligence (AI) having transformed major aspects of our society, less than
a fraction of its potential has been explored, let alone deployed, for education. AI-powered …
a fraction of its potential has been explored, let alone deployed, for education. AI-powered …
Investigating learners' behaviors and discourse content in MOOC course reviews
X Peng, Q Xu - Computers & Education, 2020 - Elsevier
In MOOCs, course reviews serve as a new interactive tool that has not yet been sufficiently
exploited. Therefore, this study investigated learners' explicit behaviors and implicit …
exploited. Therefore, this study investigated learners' explicit behaviors and implicit …
A practical model for the evaluation of high school student performance based on machine learning
The objective of this research is to develop an machine learning (ML)-based system that
evaluates the performance of high school students during the semester and identify the most …
evaluates the performance of high school students during the semester and identify the most …
Generating and understanding personalized explanations in hybrid recommender systems
Recommender systems are ubiquitous and shape the way users access information and
make decisions. As these systems become more complex, there is a growing need for …
make decisions. As these systems become more complex, there is a growing need for …
[HTML][HTML] Learners don't know best: Shedding light on the phenomenon of the K-12 MOOC in the context of information literacy
J Guggemos, L Moser, S Seufert - Computers & Education, 2022 - Elsevier
Abstract Massive Open Online Courses (MOOCs) have received much attention in higher
education; however, evidence about MOOCs at the K-12 level is scarce. To shed light on the …
education; however, evidence about MOOCs at the K-12 level is scarce. To shed light on the …
Mapping from proximity traces to socio‐spatial behaviours and student progression at the school
L Yan, R Martinez‐Maldonado… - British Journal of …, 2022 - Wiley Online Library
Identifying students facing difficulties and providing them with timely support is one of the
educator's key responsibilities. Yet, this task is becoming increasingly challenging as the …
educator's key responsibilities. Yet, this task is becoming increasingly challenging as the …
Behavior-Based Latent Variable Model for Learner Engagement.
We propose a new model for learning that relates video watching behavior and engagement
to quiz performance. In our model, a learner's knowledge gain from watching a lecture video …
to quiz performance. In our model, a learner's knowledge gain from watching a lecture video …