Int J Artif Intell Educ

2016

DOI: 10.1007/s40593-016-0124-x

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Computing of Learner’s Personality Traits Based on Digital Annotations

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Cited by 4 publications

References 39 publications

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Learner modelling: systematic review of the literature from the last 5 years

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2019

Education Tech Research Dev

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No abstract

Learner modelling: systematic review of the literature from the last 5 years

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2019

Education Tech Research Dev

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A fast facial expression recognition algorithm in the teaching and learning environments

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2023

Optoelectronic Imaging and Multimedia Technology IX

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Learner’s Emotional state has an important impact on affective and cognitive processes for classroom teaching. It is quite necessary to detect learner’s emotion state unconsciously in teaching and learning processes. A fast facial expression recognition algorithm is presented to detect the emotional state of the learner in real learning environment. Gabor convolutional network (GCN) is used to classify the facial expression. The image extracted from teaching and learning environment need to be preprocessed for accelerating the expression recognition. A skin color segmentation model, generalized Gaussian mixture distribution (GGMD), is designed by using expectation and maximization (EM) algorithm to detect the facial area rapidly. Then a fast facial expression recognition algorithm is designed by using the skin color model and the GCN. Experiment results show the satisfied accuracy and excellent time performance of the system.

Predicting the learner's personality from educational data using supervised learning

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2018

Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications

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