Attentive or not? Toward a machine learning approach to assessing students' visible engagement in classroom instruction

P Goldberg, Ö Sümer, K Stürmer, W Wagner… - Educational Psychology …, 2021 - Springer
Teachers must be able to monitor students' behavior and identify valid cues in order to draw
conclusions about students' actual engagement in learning activities. Teacher training can …

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 …

[PDF][PDF] Multimodal learning analytics

X Ochoa, AC Lang, G Siemens - The handbook of learning analytics, 2017 - ineed.edu.uy
Multimodal Learning Analytics Page 1 Multimodal Learning Analytics Xavier Ochoa Escuela
Superior Politécnica del Litoral #edumetricas, Montevideo, UY 15 April 2016 Page 2 http://www.slideshare.net/xaoch …

The evolution of research on digital education

P Dillenbourg - International Journal of Artificial Intelligence in …, 2016 - Springer
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution
by identifying six trends. The trends are ongoing and will influence learning technologies …

Optimal experience in adult learning: conception and validation of the flow in education scale (EduFlow-2)

J Heutte, F Fenouillet, C Martin-Krumm, G Gute… - Frontiers in …, 2021 - frontiersin.org
While the formulation of Mihaly Csikszentmihalyi's theory of flow, including the experience
dimensions, has remained stable since its introduction in 1975, its dedicated measurement …

Integrating multiple data sources for learning analytics—review of literature

J Samuelsen, W Chen, B Wasson - Research and Practice in Technology …, 2019 - Springer
Learning analytics (LA) promises understanding and optimization of learning and learning
environments. To enable richer insights regarding questions related to learning and …

Computer vision and human behaviour, emotion and cognition detection: A use case on student engagement

P Vanneste, J Oramas, T Verelst, T Tuytelaars, A Raes… - Mathematics, 2021 - mdpi.com
Computer vision has shown great accomplishments in a wide variety of classification,
segmentation and object recognition tasks, but tends to encounter more difficulties when …

Learning analytics: A glance of evolution, status, and trends according to a proposed taxonomy

A Peña‐Ayala - Wiley Interdisciplinary Reviews: Data Mining …, 2018 - Wiley Online Library
Before the emergence of computer‐based educational systems (CBES) whose aims of
providing teaching and learning experiences to hundreds even thousands of users, an …

Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now?

YHV Chua, J Dauwels, SC Tan - … of the 9th international conference on …, 2019 - dl.acm.org
The motivation for this paper is derived from the fact that there has been increasing interest
among researchers and practitioners in develo** technologies that capture, model and …

Translating head motion into attention-towards processing of student's body-language

M Raca, L Kidzinski… - Proceedings of the 8th …, 2015 - infoscience.epfl.ch
Evidence has shown that student's attention is a crucial factor for engagement and learning
gain. Although it can be accurately assessed ad-hoc by an experienced teacher, continuous …