Earticle

초록

영어

The main purpose of this study is to explore the potential of affective computing (AC) platforms in education through two phases of research: Phase I – platform analysis and Phase II – classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner’s emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.

목차

Abstract
1. Introduction
2. Theoretical Backgrounds
2.1 Emotions in Affective Computing
2.2 Academic Emotions in Learning Process
3. Phase I Research: Affective Computing(AC) Platform Analysis
3.1 Purpose and Methods
3.2 Results
4. Phase II Research: Academic Emotion Classification
4.1 Purpose and Methods
4.2 Results
5. Discussion and Conclusion
Acknowledgment
References

키워드

저자

• Hyo-Jeong So [ Department of Educational Technology, Ewha Womans University ] Corresponding Author
• Ji-Hyang Lee [ Department of Educational Technology, Ewha Womans University ]
• Hyun-Jin Park [ Department of Educational Technology, Ewha Womans University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380