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Construction of Affective Education in Mobile Learning: The Study Based on Learner’s Interest and Emotion Recognition
Computer Science and Information Systems, Tome 14 (2017) no. 3.

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Affective education has been the new educational pattern under modern ubiquitous learning environment. Especially in mobile learning, how to effectively construct affective education to optimize and enhance the teaching effectiveness has attracted many scholars attention. This paper presents the framework of affective education based on learner’s interest and emotion recognition. Learner’s voice, text and behavior log data are firstly preprocessed, then association rules analysis, SO-PMI (Semantic Orientation-Pointwise Mutual Information) and ANN-DL (Artificial Neural Network with Deep Learning) methods are used to learner’s interest mining and emotion recognition. The experimental results show that these methods can effectively recognize the emotion of learners in mobile learning and satisfy the requirements of affective education.
Keywords: Affective education, mobile learning, learner’s interest, emotion recognition 
@article{CSIS_2017_14_3_a9,
     author = {Haijian Chen and Yonghui Dai and Yanjie Feng and Bo Jiang and Jun Xiao and Ben You},
     title = {Construction of {Affective} {Education} in {Mobile} {Learning:} {The} {Study} {Based} on {Learner{\textquoteright}s} {Interest} and {Emotion} {Recognition}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {14},
     number = {3},
     year = {2017},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a9/}
}
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Haijian Chen; Yonghui Dai; Yanjie Feng; Bo Jiang; Jun Xiao; Ben You. Construction of Affective Education in Mobile Learning: The Study Based on Learner’s Interest and Emotion Recognition. Computer Science and Information Systems, Tome 14 (2017) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a9/