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Learner engagement in blended learning environments: A conceptual framework.
LR Halverson, CR Graham - Online learning, 2019 - ERIC
Learner engagement correlates with important educational outcomes, including academic
achievement and satisfaction. Although research is already exploring learner engagement …
achievement and satisfaction. Although research is already exploring learner engagement …
Review of studies on emotion recognition and judgment based on physiological signals
W Lin, C Li - Applied Sciences, 2023 - mdpi.com
People's emotions play an important part in our daily life and can not only reflect
psychological and physical states, but also play a vital role in people's communication …
psychological and physical states, but also play a vital role in people's communication …
Detecting emotions through electrodermal activity in learning contexts: A systematic review
There is a strong increase in the use of devices that measure physiological arousal through
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
A review on data fusion in multimodal learning analytics and educational data mining
The new educational models such as smart learning environments use of digital and context‐
aware devices to facilitate the learning process. In this new educational scenario, a huge …
aware devices to facilitate the learning process. In this new educational scenario, a huge …
Affective computing in education: A systematic review and future research
It is becoming a trend to apply an emotional lens and to position emotions as central to
educational interactions. Recently, affective computing has been one of the most actively …
educational interactions. Recently, affective computing has been one of the most actively …
Automated detection of engagement using video-based estimation of facial expressions and heart rate
We explored how computer vision techniques can be used to detect engagement while
students (N= 22) completed a structured writing activity (draft-feedback-review) similar to …
students (N= 22) completed a structured writing activity (draft-feedback-review) similar to …
A selective meta-analysis on the relative incidence of discrete affective states during learning with technology.
S D'Mello - Journal of educational psychology, 2013 - psycnet.apa.org
The last decade has witnessed considerable interest in the investigation of the affective
dimensions of learning and in the development of advanced learning technologies that …
dimensions of learning and in the development of advanced learning technologies that …
Deep facial spatiotemporal network for engagement prediction in online learning
J Liao, Y Liang, J Pan - Applied Intelligence, 2021 - Springer
Recently, online learning has been gradually accepted and approbated by the public. In this
context, an effective prediction of students' engagement can help teachers obtain timely …
context, an effective prediction of students' engagement can help teachers obtain timely …
Predicting students' happiness from physiology, phone, mobility, and behavioral data
In order to model students' happiness, we apply machine learning methods to data collected
from undergrad students monitored over the course of one month each. The data collected …
from undergrad students monitored over the course of one month each. The data collected …
Inside out: detecting learners' confusion to improve interactive digital learning environments
Confusion is an emotion that is likely to occur while learning complex information. This
emotion can be beneficial to learners in that it can foster engagement, leading to deeper …
emotion can be beneficial to learners in that it can foster engagement, leading to deeper …