Analyzing the Significance of Learner Emotions Using Data Analytics

Analyzing the Significance of Learner Emotions Using Data Analytics

Shanmugasundaram Hariharan, Magdalene Delighta Angeline D., Ramasubramanian Perumal, Samuel PeterJames I.
Copyright: © 2023 |Pages: 23
DOI: 10.4018/978-1-7998-9220-5.ch156
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Abstract

Research on emotional intelligence (EI) in the learning process enhances the learner progress to attain the aspirations that have been set. The proposed work helps to recognize the learners' emotional behavior owing to the hectic situation due to COVID-19. Concentrating on the motivational and psychometric characteristics of the learners, this study scrutinized the involvement of EI in learner's learning. For this, three learning environments (LEs) are defined that adopt different methodologies of learning to analyze the increased performance of different types of learners. The face emotions of several learners were captured, recognized, and grouped using naïve bayes algorithm. The learners with negative emotions are identified from the algorithm, and the inputs are assessed with cross-tabulation techniques like chi-square and ANOVA. The results confirm that the learning environment along with the teaching methodologies and emotional happenings in and around decide the performance of the learner.
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Introduction

Emotional Intelligence is a precondition for developing a good rapport with a group of learners, which subsequently can be the basis for producing learners having more rendezvous, a speediness to work together, a larger eagerness to seize menaces in their learning, a more positive approach, better inspiration, more resourcefulness and more stubbornness. The essential things to be done while using EI in teaching are competent to distinguish and react to own emotions and those of the learners in the learning environment so as to formulate more effectual in each one’s individual roles and also to persuade an emotional state in the learners which is favorable to learning as noted in (Peng et al., 2021).

Work described for emotional practice by (Tam et al., 2021) suggests a key task in learning and is an imperative constituent of each school deeds described (Pekrun & Schutz, 2007). Instructor ought to be in control of their emotions and reveal a great covenant of awareness of their learners which can be developed through self-analysis of concert by recognizing potencies and constraints. The instructor has to discover the practices that facilitate both positive and negative emotions throughout teaching and learning environment by (Kaur et al., 2021). Motivation is an inner aspiration to accomplish intentions that are set out during teaching time. High EI of instructor helps them to understand themselves as well as learners. The instructor has to develop circumstances that help out augment group vibrant, initiate activities that endorse effectual rapports among learners and also improving involvement management throughout every subject and offer errands to dissimilar learners.

Academic unease embraces problems such as learning obscurity or disabilities, lack of awareness from instructors, discrimination and underachievement, have an effect on a number of learners all through their academic careers. Academic unease persuades a learner’s performance in the learning environment negatively, but they are also expected to have a noteworthy consequence on other areas of life, frequently placing excessive trauma on a learner and inquisitive with work, home and play aspects. A learner who experiences several sorts of academic disquiets possibly will promote from communication to an intellectual wellbeing expert. Distress of an academic environment recount to a learner’s performance in the learning environment, but they valor too comprise a learner’s actions toward instructors or associated learners. A few archetypal academic unease embrace: Learning disabilities, lack of concern in subjects, Lack of appropriate concentration, discrimination at learning environment, bewilderment regarding or misinterpretation of subject, less accomplishment in studies and time managing concerns.

Emotion has a substantial influence on the cognitive processes in humans, including perception, attention, learning, memory, reasoning, and problem solving. Emotion has a particularly strong influence on attention, especially modulating the selectivity of attention as well as motivating action and behavior (Chai et al., 2017). The emotions can be wide-ranging appropriate to the situations faced by the learner inside and outside the learning environment with observations noted in (Samuel et al., 2015). The diverse examinations in the educational viewpoint have exposed that low levels of EI deficiently persuade learner academic attainment as detailed out (Alavinia & Mollahossein, 2012; Costa, 2015).

Key Terms in this Chapter

Naïve Bayes: A naive Bayes is an algorithm that uses Bayes' theorem to classify objects.

Multi Assessment Method: Multi Assessment Method is an assessment of performance of the learner after undergoing the learning in different learning environment.

Haar Cascade Classifier: Haar Cascade Classifier is an Object Detection Algorithm used to identify faces in an image or a real time video.

Cross Tabulation: Cross tabulation is a statistical tool that groups variables to understand the correlation between different variables.

Chi-Square: Chi square is a measure used to determine how closely the observed data fit the expected data.

Segmentation: Segmentation is partitioning an image into different parts according to their features and properties.

Cronbach’s alpha: Cronbach’s alpha is a measure of reliability of set of items.

Reliability Analysis: Reliability Analysis is a measurement technique that allows researchers to assess the stability of measures.

Learning Environment: Learning Environment refers to the collective combination of active learning, healthy environment, communicative class work, and different locations for learning.

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