AI 안면감정인식과 텍스트 감성분석 기술을 적용한 학습자 만족도 평가 사례 연구 = A case study of learner satisfaction evaluation applying AI facial emotion recognition and text sentiment analysis technology

다국어 초록 (Multilingual Abstract)

The purpose of this study is to explore the possibility of using AI technology to evaluate learner satisfaction. To this end, we conduct an exploratory case study that collects learner satisfaction data through interviews, analyzes the data using AI facial emotion recognition technology and text emotion analysis technology, and analyzes the process and results in detail from the perspective of performing evaluation. and the main results are as follows. First, as a result of analyzing the emotions shown in the facial expressions of learners responding to the interview for satisfaction evaluation, the basic facial expressions of the individual were recognized preferentially rather than the emotions about education and training. Second, as a result of analyzing the emotions expressed in the contents of the learner's responses to the interview for satisfaction evaluation, as a result of analyzing the emotions expressed in the contents of the learner's responses to the interview for the satisfaction evaluation, the emotions of positive, negative, and neutral were found evenly. Third, as a result of matching the pattern of facial emotion and text emotion observed in the interview with the researcher's prediction pattern, it was found that the matching rate of text emotion was higher than that of facial emotion. The implications of the main research results were drawn, and academic and practical suggestions for future development were presented. This study is meaningful in that it attempted to evaluate using the interview method by applying AI technology instead of the standardized survey method.