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 End is the Beginning is the End: The closed-loop learning analytics framework

M Sailer, M Ninaus, SE Huber, E Bauer… - Computers in Human …, 2024 - Elsevier
This article provides a comprehensive review of current practices and methodologies within
the field of learning analytics, structured around a dedicated closed-loop framework. This …

[HTML][HTML] A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form

HL O'Brien, P Cairns, M Hall - International Journal of Human-Computer …, 2018 - Elsevier
User engagement (UE) and its measurement have been of increasing interest in human-
computer interaction (HCI). The User Engagement Scale (UES) is one tool developed to …

Engaging students in the learning process with game-based learning: The fundamental concepts.

S Adipat, K Laksana, K Busayanon… - International Journal of …, 2021 - ERIC
A new approach to learning in the form of educational games has been adopted in recent
years, especially in English language teaching. The educational game learning approach …

Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges

R Azevedo, D Gašević - Computers in Human Behavior, 2019 - Elsevier
Analyzing multimodal multichannel data about self-regulated learning (SRL) obtained
during the use of advanced learning technologies such as intelligent tutoring systems …

The agency effect: The impact of student agency on learning, emotions, and problem-solving behaviors in a game-based learning environment

M Taub, R Sawyer, A Smith, J Rowe, R Azevedo… - Computers & …, 2020 - Elsevier
Game-based learning environments are designed to foster high levels of student
engagement and motivation during learning of complex topics. Game-based learning …

Multimodal learning analytics for game‐based learning

A Emerson, EB Cloude, R Azevedo… - British journal of …, 2020 - Wiley Online Library
A distinctive feature of game‐based learning environments is their capacity to create
learning experiences that are both effective and engaging. Recent advances in sensor …

Towards investigating the validity of measurement of self-regulated learning based on trace data

Y Fan, J van der Graaf, L Lim, M Raković… - Metacognition and …, 2022 - Springer
Contemporary research that looks at self-regulated learning (SRL) as processes of learning
events derived from trace data has attracted increasing interest over the past decade …

Technologies to enhance self-regulated learning in online and computer-mediated learning environments

J Broadbent, E Panadero, JM Lodge… - Handbook of research in …, 2020 - Springer
This chapter explores how technologies may enhance SRL in online learning environments.
This chapter first gives an overview of self-regulated learning theory and discusses how SRL …

Understanding and reasoning about real-time cognitive, affective, and metacognitive processes to foster self-regulation with advanced learning technologies

R Azevedo, M Taub, NV Mudrick - Handbook of self-regulation of …, 2017 - taylorfrancis.com
Self-regulated learning (SRL) involves learners' ability to monitor and regulate their
cognitive, affective, metacognitive, and motivational (CAMM) processes and plays a critical …