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 …

The development of students' computational thinking practices in elementary-and middle-school classes using the learning game, Zoombinis

J Asbell-Clarke, E Rowe, V Almeda, T Edwards… - Computers in Human …, 2021 - Elsevier
This paper reports on a research study of 45 classes in US schools (grades 3–8) using
Zoombinis, a popular Computational Thinking (CT) learning game for ages 8 to adult. The …

Detecting and addressing frustration in a serious game for military training

JA DeFalco, JP Rowe, L Paquette… - International Journal of …, 2018 - Springer
Tutoring systems that are sensitive to affect show considerable promise for enhancing
student learning experiences. Creating successful affective responses requires …

Towards Fair Educational Data Mining: A Case Study on Detecting At-Risk Students.

Q Hu, H Rangwala - International Educational Data Mining Society, 2020 - ERIC
Over the past decade, machine learning has become an integral part of educational
technologies. With more and more applications such as students' performance prediction …

Improving sensor-free affect detection using deep learning

AF Botelho, RS Baker, NT Heffernan - … AIED 2017, Wuhan, China, June 28 …, 2017 - Springer
Affect detection has become a prominent area in student modeling in the last decade and
considerable progress has been made in develo** effective models. Many of the most …

Automatic Sensor-free Affect Detection: A Systematic Literature Review

F de Morais, D Goldoni, T Kautzmann… - arxiv preprint arxiv …, 2023 - arxiv.org
Emotions and other affective states play a pivotal role in cognition and, consequently, the
learning process. It is well-established that computer-based learning environments (CBLEs) …

Pedagogical agents: back to the future

WL Johnson, JC Lester - AI Magazine, 2018 - ojs.aaai.org
Back in the 1990s we started work on pedagogical agents, a new user interface paradigm
for interactive learning environments. Pedagogical agents are autonomous characters that …

Enhancing student models in game-based learning with facial expression recognition

R Sawyer, A Smith, J Rowe, R Azevedo… - Proceedings of the 25th …, 2017 - dl.acm.org
Recent years have seen a growing recognition of the role that affect plays in learning.
Because game-based learning environments elicit a wide range of student affective states …

Emotions and personality in adaptive e-learning systems: an affective computing perspective

OC Santos - Emotions and personality in personalized services …, 2016 - Springer
This chapter reports how affective computing (in terms of detection methods and intervention
approaches) is considered in adaptive e-learning systems. The goal behind is to enrich the …

[LIBRO][B] Learning analytics goes to school: A collaborative approach to improving education

A Krumm, B Means, M Bienkowski - 2018 - taylorfrancis.com
Learning Analytics Goes to School presents a framework for engaging in education research
and improving education practice through the use of newly available data sources and …