IDENTIFICATION OF LEARNERS' EMOTIONS IN A LEARNING ENVIRONMENT USING NAÏVE BAYES ALGORITHM AND EVALUATION OF ACADEMIC ACHIVEMENT WITH RANDOM FOREST AL

IDENTIFICATION OF LEARNERS' EMOTIONS IN A LEARNING ENVIRONMENT USING NAÏVE BAYES ALGORITHM AND EVALUATION OF ACADEMIC ACHIVEMENT WITH RANDOM FOREST AL

D.Magdalene Delighta Angeline, Perumal Ramasubramanian, Samuel Peter James I, Shanmugasundaram Hariharan
Copyright: © 2022 |Volume: 12 |Issue: 1 |Pages: 16
ISSN: 2155-6377|EISSN: 2155-6385|EISBN13: 9781683182085|DOI: 10.4018/IJIRR.300341
Cite Article Cite Article

MLA

Angeline, D.Magdalene Delighta, et al. "IDENTIFICATION OF LEARNERS' EMOTIONS IN A LEARNING ENVIRONMENT USING NAÏVE BAYES ALGORITHM AND EVALUATION OF ACADEMIC ACHIVEMENT WITH RANDOM FOREST AL." IJIRR vol.12, no.1 2022: pp.1-16. http://doi.org/10.4018/IJIRR.300341

APA

Angeline, D. D., Ramasubramanian, P., James I, S. P., & Hariharan, S. (2022). IDENTIFICATION OF LEARNERS' EMOTIONS IN A LEARNING ENVIRONMENT USING NAÏVE BAYES ALGORITHM AND EVALUATION OF ACADEMIC ACHIVEMENT WITH RANDOM FOREST AL. International Journal of Information Retrieval Research (IJIRR), 12(1), 1-16. http://doi.org/10.4018/IJIRR.300341

Chicago

Angeline, D.Magdalene Delighta, et al. "IDENTIFICATION OF LEARNERS' EMOTIONS IN A LEARNING ENVIRONMENT USING NAÏVE BAYES ALGORITHM AND EVALUATION OF ACADEMIC ACHIVEMENT WITH RANDOM FOREST AL," International Journal of Information Retrieval Research (IJIRR) 12, no.1: 1-16. http://doi.org/10.4018/IJIRR.300341

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Emotions have undergone unusual stages all through the pandemic situation creating a trauma in the minds of learners that extirpate the growth of a learner. The main objective of the work is to identify the face emotions of learners in the learning environment that helps to estimate the attention of learners during lectures in the learning environment. The identification of facial emotions is performed using naïve bayes algorithm. Based on the emotional records, the academic achievement is analyzed with random forest algorithm. The findings of the research are that the attention of the learners in the learning environment with positive emotions produces good academic results.