[HTML][HTML] The current landscape of learning analytics in higher education

O Viberg, M Hatakka, O Bälter, A Mavroudi - Computers in human behavior, 2018 - Elsevier
Learning analytics can improve learning practice by transforming the ways we support
learning processes. This study is based on the analysis of 252 papers on learning analytics …

Connecting the dots–A literature review on learning analytics indicators from a learning design perspective

A Ahmad, J Schneider, D Griffiths… - Journal of Computer …, 2024 - Wiley Online Library
Background During the past decade, the increasingly heterogeneous field of learning
analytics has been critiqued for an over‐emphasis on data‐driven approaches at the …

Scalability, sustainability, and ethicality of multimodal learning analytics

L Yan, L Zhao, D Gasevic… - LAK22: 12th international …, 2022 - dl.acm.org
Multimodal Learning Analytics (MMLA) innovations are commonly aimed at supporting
learners in physical learning spaces through state-of-the-art sensing technologies and …

Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach

K Sharma, Z Papamitsiou… - British Journal of …, 2019 - Wiley Online Library
Students' on‐task engagement during adaptive learning activities has a significant effect on
their performance, and at the same time, how these activities influence students' behavior is …

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 …

The evidence of impact and ethical considerations of Multimodal Learning Analytics: A Systematic Literature Review

H Alwahaby, M Cukurova, Z Papamitsiou… - The multimodal learning …, 2022 - Springer
There is a growing interest in the research and use of multimodal data in learning analytics.
This paper presents a systematic literature review of multimodal learning analytics (MMLA) …

Multimodal Learning Analytics research with young children: A systematic review

L Crescenzi‐Lanna - British Journal of Educational Technology, 2020 - Wiley Online Library
Abstract Learning Analytics and Multimodal Learning Analytics are changing the way of
analysing the learning process while students interact with an educational content. This …

Temporal analysis of multimodal data to predict collaborative learning outcomes

JK Olsen, K Sharma, N Rummel… - British Journal of …, 2020 - Wiley Online Library
The analysis of multiple data streams is a long‐standing practice within educational
research. Both multimodal data analysis and temporal analysis have been applied …

How can high-frequency sensors capture collaboration? A review of the empirical links between multimodal metrics and collaborative constructs

B Schneider, G Sung, E Chng, S Yang - Sensors, 2021 - mdpi.com
This paper reviews 74 empirical publications that used high-frequency data collection tools
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …

Modelling collaborative problem-solving competence with transparent learning analytics: is video data enough?

M Cukurova, Q Zhou, D Spikol, L Landolfi - Proceedings of the tenth …, 2020 - dl.acm.org
In this study, we describe the results of our research to model collaborative problem-solving
(CPS) competence based on analytics generated from video data. We have collected~ 500 …