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 …

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 …

Detecting emotions through electrodermal activity in learning contexts: A systematic review

A Horvers, N Tombeng, T Bosse, AW Lazonder… - Sensors, 2021 - mdpi.com
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 …

A review on data fusion in multimodal learning analytics and educational data mining

W Chango, JA Lara, R Cerezo… - … Reviews: Data Mining …, 2022 - Wiley Online Library
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 …

Affective computing in education: A systematic review and future research

E Yadegaridehkordi, NFBM Noor, MNB Ayub… - Computers & …, 2019 - Elsevier
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 …

Automated detection of engagement using video-based estimation of facial expressions and heart rate

H Monkaresi, N Bosch, RA Calvo… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

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 …

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 …

Predicting students' happiness from physiology, phone, mobility, and behavioral data

N Jaques, S Taylor, A Azaria… - 2015 International …, 2015 - ieeexplore.ieee.org
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 …

Inside out: detecting learners' confusion to improve interactive digital learning environments

A Arguel, L Lockyer, OV Lipp… - Journal of …, 2017 - journals.sagepub.com
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 …