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Affective computing in education: A systematic review and future research · Study

ReviewAffective computing in education: A systematic review and future research

Elaheh Yadegaridehkordi2019

Review2019

Affective computing in education: A systematic review and future research

Elaheh Yadegaridehkordi · Nurul Fazmidar Binti Mohd Noor · Mohamad Nizam Bin Ayub · Hannyzzura Affal · Nornazlita Hussin

239 citations·0/0 files stored·Computers & Education

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Emotion and Mood Recognition Online Learning and Analytics Intelligent Tutoring Systems and Adaptive Learning

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References

1980A circumplex model of affect.1998The Emerging Field of Emotion Regulation: An Integrative Review 1992An argument for basic emotions 2002Analyzing the Past to Prepare for the Future: Writing a Literature Review 1997Affective Computing 1988The Cognitive Structure of Emotions 2006The Control-Value Theory of Achievement Emotions: Assumptions, Corollaries, and Implications for Educational Research and Practice 1971Constants across cultures in the face and emotion.

Cited by

2023Emotion recognition from unimodal to multimodal analysis: A review 2023Affective Computing: Recent Advances, Challenges, and Future Trends 2021NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns 2023A Large Finer-grained Affective Computing EEG Dataset 2021Developing a gamified AI-enabled online learning application to improve students’ perception of university physics 2020

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Details

Year2019

Typereview

Published2019-08-09

VenueComputers & Education

ISSN-L0360-1315

Languageen

Citations239

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1016/j.compedu.2019.103649

openalex_workW2968055463

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Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism

2024Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments

2023Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition