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 …

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 …

Immersive procedural training in virtual reality: A systematic literature review

J Jongbloed, R Chaker, E Lavoué - Computers & Education, 2024 - Elsevier
Introduction Virtual reality (VR) head-mounted displays (HMDs) offer an immersive learning
experience that could replicate real-life training. Our review identifies and critically analyses …

Multimodal data fusion in learning analytics: A systematic review

S Mu, M Cui, X Huang - Sensors, 2020 - mdpi.com
Multimodal learning analytics (MMLA), which has become increasingly popular, can help
provide an accurate understanding of learning processes. However, it is still unclear how …

[HTML][HTML] Children's play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach

S Lee-Cultura, K Sharma, M Giannakos - International Journal of Child …, 2022 - Elsevier
Abstract Motion-Based Learning Technologies (MBLT) offer a promising approach for
integrating play and problem-solving behaviour within children's learning. The proliferation …

Technology-enhanced embodied learning

M Ioannou, A Ioannou - Educational Technology & Society, 2020 - JSTOR
The enactment of embodied learning in the authentic classroom introduces new challenges.
The educational system has yet to develop a clear vision or learning design models that …

Embodied learning in a digital world: A systematic review of empirical research in K-12 education

Y Georgiou, A Ioannou - Learning in a digital world: Perspective on …, 2019 - Springer
There is a widespread assumption that technology-enhanced embodied learning
environments, which are grounded on the notion of embodied cognition, can promote …

Measuring and classifying students' cognitive load in pen‐based mobile learning using handwriting, touch gestural and eye‐tracking data

Q Li, Y Luximon, J Zhang, Y Song - British Journal of …, 2024 - Wiley Online Library
Although the utilization of mobile technologies has recently emerged in various educational
settings, limited research has focused on cognitive load detection in the pen‐based learning …

Keep calm and do not carry-forward: Toward sensor-data driven AI agent to enhance human learning

K Sharma, S Lee-Cultura, M Giannakos - Frontiers in Artificial …, 2022 - frontiersin.org
The integration of Multimodal Data (MMD) and embodied learning systems (such as Motion
Based Educational Games, MBEG), can help learning researchers to better understand the …

[PDF][PDF] A modern approach to transition analysis and process mining with Markov models in education

J Helske, S Helske, M Saqr… - … methods and tutorials …, 2024 - library.oapen.org
In the previous two chapters, we have learned about sequence analysis [1, 2] and its
relevance to educational research. This chapter presents a closely-related method …