Alejandro Susillo Ridao
Yong Zheng
ABSTRACT
Human factors, such as emotions, have been demonstrated as influential factors in educational teaching and learning. In order to exploit the relationship between students' in-class emotions and their learning performance, our preliminary work in this paper aims to try and compare different tools and libraries for in-class face detection and emotion recognition. We deliver our findings and insights about the popular libraries for these purposes.
- R. E. DESTACAMENTO. Academic emotions and performance of the senior high school students: Basis for intervention program. SMCC Higher Education Research Journal, 5: 69--92, 2018.Google Scholar
- R. Pekrun, T. Goetz, A. C. Frenzel, P. Barchfeld, and R. P. Perry. Measuring emotions in students? learning and performance: The achievement emotions questionnaire (aeq). Contemporary educational psychology, 36(1):36--48, 2011.Google Scholar
- Y. Zheng. Fill students' knowledge gap by recommending remedial learning materials. In Proceedings of the 21st Annual SIG Conference on Information Technology Education, 2020.Google ScholarDigital Library
Index Terms
- A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition
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