Emotional Design Tutoring System Based on Multimodal Affective Computing Techniques

• Published in: International journal of distance education technologies Vol. 16; no. 1; pp. 103 - 117
• Main Authors: Lin, Hao-Chiang Koong, Wang, Cheng-Hung
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 01.01.2018
• Subjects: Affective Behavior; Affective computing; Analysis; Audio Equipment; Chinese; Computational linguistics; Control Groups; Distance Education; Distance learning; Educational Technology; Emotional Response; Emotions; Experimental Groups; Language processing; Learning Motivation; Methods; Natural language interfaces; Nontraditional Education; Online Courses; Online education; Participant Observation; Pretests Posttests; Program Effectiveness; Questionnaires; Semantics; Student Motivation; Students; Teacher Attitudes; Teacher Role; Teachers; Teaching; Technology Uses in Education; Tutoring; Tutors and tutoring; Video Technology
• DOI: 10.4018/IJDET.2018010106
• ISSN: 1539-3100

In a traditional class, the role of the teacher is to teach and that of the students is to learn. However, the constant and rapid technological advancements have transformed education in numerous ways. For instance, in addition to traditional, face to face teaching, E-learning is now possible. Nevertheless, face to face teaching is unavailable in distance education, preventing the teacher from understanding the student's learning emotions and states; hence, a system can be adopted to collect information on students' learning emotions, thereby compiling data to analyze their learning progresses. Hence, this study established an emotional design tutoring system (EDTS) and investigated whether this system influences user interaction satisfaction and elevates learning motivation. This study determined that the learners' perception of affective tutoring systems fostered positive attitudes toward learning and thereby promoted learning effects. The experimental results offer teachers and learners an efficient technique for boosting students' learning effects and learning satisfaction. In the future, affective computing is expected to be widely used in teaching. This can enable students to enjoy learning in a multilearning environment; thus, they can exhibit higher learning satisfaction and gain considerable learning effects.