Integrating adaptivity in educational games: A combined bibliometric analysis and meta-analysis review

Z Liu, J Moon, B Kim, CP Dai - Educational technology research and …, 2020 - Springer
In this synthesis, we systematically review research on educational games with adaptivity.
Although an adaptive gaming experience provides personalization to learning, the …

A structural equation modeling investigation of the emotional value of immersive virtual reality in education

G Makransky, L Lilleholt - Educational Technology Research and …, 2018 - Springer
Virtual reality (VR) is projected to play an important role in education by increasing student
engagement and motivation. However, little is known about the impact and utility of …

Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review

BM Booth, N Bosch, SK D'Mello - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
Engagement is critical to satisfaction and performance in a number of domains but is
challenging to measure and sustain. Thus, there is considerable interest in develo** …

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 …

Expert feature-engineering vs. deep neural networks: which is better for sensor-free affect detection?

Y Jiang, N Bosch, RS Baker, L Paquette… - Artificial Intelligence in …, 2018 - Springer
The past few years have seen a surge of interest in deep neural networks. The wide
application of deep learning in other domains such as image classification has driven …

[PDF][PDF] Detecting student emotions in computer-enabled classrooms.

N Bosch, SK D'Mello, RS Baker, J Ocumpaugh… - IJCAI, 2016 - pnigel.com
Affect detection is a key component of intelligent educational interfaces that can respond to
the affective states of students. We use computer vision, learning analytics, and machine …

[PDF][PDF] Emotional learning analytics

S D'Mello - Handbook of learning analytics, 2017 - researchgate.net
This chapter discusses the ubiquity and importance of emotion to learning. It argues that
substantial progress can be made by coupling the discovery-oriented, data-driven, analytic …

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 …

The dynamics of Brazilian students' emotions in digital learning systems

F Morais, PA Jaques - International Journal of Artificial Intelligence in …, 2024 - Springer
Affect dynamics in digital learning systems (DLS) research investigates how students'
emotions evolve while using these systems. This information can reveal the most common …