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 …

Ambient intelligence: A survey

F Sadri - ACM Computing Surveys (CSUR), 2011 - dl.acm.org
In this article we survey ambient intelligence (AmI), including its applications, some of the
technologies it uses, and its social and ethical implications. The applications include AmI at …

Does Flipped Learning Promote Positive Emotions in Science Education? A Comparison between Traditional and Flipped Classroom Approaches.

M Jdaitawi - Electronic Journal of e-learning, 2020 - ERIC
Flipped learning has become a popular approach for supporting higher education, but less
is known about its link with the learners' emotions, which are known to play an important role …

AutoTutor and affective AutoTutor: Learning by talking with cognitively and emotionally intelligent computers that talk back

S D'mello, A Graesser - ACM Transactions on Interactive Intelligent …, 2013 - dl.acm.org
We present AutoTutor and Affective AutoTutor as examples of innovative 21st century
interactive intelligent systems that promote learning and engagement. AutoTutor is an …

RETRACTED ARTICLE: Sentiment analysis of student feedback using multi-head attention fusion model of word and context embedding for LSTM

K Sangeetha, D Prabha - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Classroom teaching becomes viable and efficient based on increase in participation of the
student. This can be made possible by taking needed measure by finding the emotions of …

Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features

SK D'mello, A Graesser - User Modeling and User-Adapted Interaction, 2010 - Springer
We developed and evaluated a multimodal affect detector that combines conversational
cues, gross body language, and facial features. The multimodal affect detector uses feature …

[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 …

Emotion recognition from brain signals using hybrid adaptive filtering and higher order crossings analysis

PC Petrantonakis… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
This paper aims at providing a new feature extraction method for a user-independent
emotion recognition system, namely, HAF-HOC, from electroencephalograms (EEGs). A …

Social robots and virtual agents as lecturers for video instruction

J Li, R Kizilcec, J Bailenson, W Ju - Computers in Human Behavior, 2016 - Elsevier
One emerging convention in video lectures is to show presentation slides with an inset video
of the instructor's head. Substituting a robot or a digital agent for the video of the instructor …

Data mining and education

KR Koedinger, S D'Mello… - Wiley …, 2015 - Wiley Online Library
An emerging field of educational data mining (EDM) is building on and contributing to a wide
variety of disciplines through analysis of data coming from various educational technologies …