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 …
Self-regulated learning and learning analytics in online learning environments: A review of empirical research
Self-regulated learning (SRL) can predict academic performance. Yet, it is difficult for
learners. The ability to self-regulate learning becomes even more important in emerging …
learners. The ability to self-regulate learning becomes even more important in emerging …
Human and artificial intelligence collaboration for socially shared regulation in learning
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and
challenges for understanding and supporting learning. In this paper, we position human and …
challenges for understanding and supporting learning. In this paper, we position human and …
Multimodal data capabilities for learning: What can multimodal data tell us about learning?
K Sharma, M Giannakos - British Journal of Educational …, 2020 - Wiley Online Library
Most research on learning technology uses clickstreams and questionnaires as their primary
source of quantitative data. This study presents the outcomes of a systematic literature …
source of quantitative data. This study presents the outcomes of a systematic literature …
[HTML][HTML] Predicting regulatory activities for socially shared regulation to optimize collaborative learning
This study utilized multimodal learning analytics and AI-based methods to examine the
patterns of the socially shared regulation of collaborative learning (CL). The study involved …
patterns of the socially shared regulation of collaborative learning (CL). The study involved …
A review on data fusion in multimodal learning analytics and educational data mining
The new educational models such as smart learning environments use of digital and context‐
aware devices to facilitate the learning process. In this new educational scenario, a huge …
aware devices to facilitate the learning process. In this new educational scenario, a huge …
Using machine learning to predict student difficulties from learning session data
The student's performance prediction is an important research topic because it can help
teachers prevent students from dropping out before final exams and identify students that …
teachers prevent students from dropping out before final exams and identify students that …
From signals to knowledge: A conceptual model for multimodal learning analytics
Multimodality in learning analytics and learning science is under the spotlight. The
landscape of sensors and wearable trackers that can be used for learning support is …
landscape of sensors and wearable trackers that can be used for learning support is …
The role of learning theory in multimodal learning analytics
M Giannakos, M Cukurova - British Journal of Educational …, 2023 - Wiley Online Library
This study presents the outcomes of a semi‐systematic literature review on the role of
learning theory in multimodal learning analytics (MMLA) research. Based on previous …
learning theory in multimodal learning analytics (MMLA) research. Based on previous …
[HTML][HTML] Multimodal data as a means to understand the learning experience
Most work in the design of learning technology uses click-streams as their primary data
source for modelling & predicting learning behaviour. In this paper we set out to quantify …
source for modelling & predicting learning behaviour. In this paper we set out to quantify …