Evidence‐based multimodal learning analytics for feedback and reflection in collaborative learning

L Yan, V Echeverria, Y **… - British Journal of …, 2024‏ - Wiley Online Library
Multimodal learning analytics (MMLA) offers the potential to provide evidence‐based
insights into complex learning phenomena such as collaborative learning. Yet, few MMLA …

Lessons learnt from a multimodal learning analytics deployment in-the-wild

R Martinez-Maldonado, V Echeverria… - ACM Transactions on …, 2023‏ - dl.acm.org
Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing
and artificial intelligence algorithms to collect rich data about learning activities that unfold in …

The role of indoor positioning analytics in assessment of simulation‐based learning

L Yan, R Martinez‐Maldonado, L Zhao… - British Journal of …, 2023‏ - Wiley Online Library
Simulation‐based learning provides students with unique opportunities to develop key
procedural and teamwork skills in close‐to‐authentic physical learning and training …

Intelligent systems for psychomotor learning: a systematic review and two cases of study

A Casas-Ortiz, J Echeverria… - Handbook of Artificial …, 2023‏ - elgaronline.com
Psychomotor learning involves the integration of mental and muscular activity with the
purpose of learning a motor skill. The repeated practice of the learned movements over very …

The promise of physiological data in collaborative learning: A systematic literature review

W Febriantoro, A Gauthier, M Cukurova - European Conference on …, 2023‏ - Springer
Collaborative learning is an important approach in education. Researchers are increasingly
interested in using physiological data, such as Electrodermal Activity (EDA), as an objective …

Dissecting the temporal dynamics of embodied collaborative learning using multimodal learning analytics.

L Yan, R Martinez-Maldonado, Z Swiecki… - Journal of …, 2024‏ - psycnet.apa.org
Embodied collaborative learning, intertwining verbal and physical behaviors, is an intricate
learning process demanding a multifaceted approach for comprehensive understanding …

From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning

L Yan, D Gasevic, V Echeverria, Y **, L Zhao… - Proceedings of the 15th …, 2025‏ - dl.acm.org
Multimodal Learning Analytics (MMLA) leverages advanced sensing technologies and
artificial intelligence to capture complex learning processes, but integrating diverse data …

Use of wearable devices in the teaching-learning process: a systematic review of the literature

LD Glasserman-Morales, M Carlos-Arroyo… - Frontiers in …, 2023‏ - frontiersin.org
Multimodal learning analytics (MMLA) has emerged as an encompassing approach to data
collection, facilitating the analysis of student interactions across a variety of resources …

[HTML][HTML] Enhancing Multimodal Learning Analytics: A Comparative Study of Facial Features Captured Using Traditional vs 360-Degree Cameras in Collaborative …

RJ Rajarathinam, C Palaguachi… - Proceedings of the …, 2024‏ - educationaldatamining.org
ABSTRACT Multimodal Learning Analytics (MMLA) has emerged as a powerful approach
within the computer-supported collaborative learning community, offering nuanced insights …