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Exploring Classroom Emotion with Cloud-Based Facial Recognizer in the Chinese Beginning Class: A Preliminary Study

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Title: Exploring Classroom Emotion with Cloud-Based Facial Recognizer in the Chinese Beginning Class: A Preliminary Study
Language: English
Authors: Boonroungrut, Chinun, Oo, Toe Toe, One, Kim
Source: International Journal of Instruction. Jan 2019 12(1):947-958.
Availability: International Journal of Instruction. Eskisehir Osmangazi University, Faculty of Education, Eskisehir, 26480, Turkey. e-mail: iji@ogu.edu.tr; Web site: http://www.e-iji.net
Peer Reviewed: Y
Page Count: 12
Publication Date: 2019
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Emotional Response, Foreign Students, Human Body, Information Technology, Chinese, Second Language Instruction, Foreign Countries, College Students, Nonverbal Communication, Photography, Information Management, Grade Point Average, Gender Differences, Student Satisfaction, Psychological Patterns
Geographic Terms: China
ISSN: 1694-609X
Abstract: The Facial Emotion Recognizer (FER) detection technology in the education field is in the early stage. Objective, to investigate the classroom emotion and the effectiveness of the Microsoft cloud-based FER interpretations The randomly selected 29 international students who enrolled the fundamental Chinese language course were investigated during five study weeks using the paper-based Student Outcome Survey which measured teaching, assessment, generic skill and learning experience. For FER, the 784 students' facial images were extracted and uploaded into the cloud-based APIs. The students with GPA = 80% showed higher significantly in Assessment components. No significant difference in FER emotion detection was found among five study weeks; however, natural and happiness emotion scores showed symmetric significantly in the opposite direction with r = - 0.82, P < 0.1. The students' overall outcomes were over average. FER indicated that the neutral emotion was the highest detected score. The APIs Reliability was still considerably questioned. Using updated quality and technology of photo and video recording were recommended in the further research.
Abstractor: As Provided
Number of References: 27
Entry Date: 2019
Accession Number: EJ1201179
Database: ERIC
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– Name: Abstract
  Label: Abstract
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  Data: The Facial Emotion Recognizer (FER) detection technology in the education field is in the early stage. Objective, to investigate the classroom emotion and the effectiveness of the Microsoft cloud-based FER interpretations The randomly selected 29 international students who enrolled the fundamental Chinese language course were investigated during five study weeks using the paper-based Student Outcome Survey which measured teaching, assessment, generic skill and learning experience. For FER, the 784 students&#39; facial images were extracted and uploaded into the cloud-based APIs. The students with GPA = 80% showed higher significantly in Assessment components. No significant difference in FER emotion detection was found among five study weeks; however, natural and happiness emotion scores showed symmetric significantly in the opposite direction with r = - 0.82, P &lt; 0.1. The students&#39; overall outcomes were over average. FER indicated that the neutral emotion was the highest detected score. The APIs Reliability was still considerably questioned. Using updated quality and technology of photo and video recording were recommended in the further research.
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  Data: As Provided
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 947
    Subjects:
      – SubjectFull: Emotional Response
        Type: general
      – SubjectFull: Foreign Students
        Type: general
      – SubjectFull: Human Body
        Type: general
      – SubjectFull: Information Technology
        Type: general
      – SubjectFull: Chinese
        Type: general
      – SubjectFull: Second Language Instruction
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      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: College Students
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      – SubjectFull: Nonverbal Communication
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      – SubjectFull: Photography
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      – SubjectFull: Grade Point Average
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      – SubjectFull: Gender Differences
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      – SubjectFull: Psychological Patterns
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      – SubjectFull: China
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      – TitleFull: Exploring Classroom Emotion with Cloud-Based Facial Recognizer in the Chinese Beginning Class: A Preliminary Study
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