Improved Learning with Emotional Intelligence and Analysis Using Neural Networks

• Main Authors: James, I. Samuel Peter, Ramasubramanian, P., Angeline, D. Magdalene Delighta
• Format: Conference Proceeding
• Language: English
• Subjects: Backpropagation; Computational intelligence; Conferences; Correlation; Data mining; Emotion; Emotional Intelligence; Emotional-Based learning; Multi Layer Perceptron; Multilayer perceptrons; Neurons; Positive emotio
• ISSN: 2473-943X
• DOI: 10.1109/ICCIC.2017.8524206

The emotions of human in every parts of a life is usual and unavoidable. The emotions uplift or cast down a person facing different situations in each moment. The foremost intent of the proposed work is to provide learning with emotional-based approach and to analyze the result using data mining algorithm. This paper scrutinizes how emotions affect the learners' learning and the achievement of performance enhancement of various learners under different environment that leads to the success of a learner. This study examines how the emotional intelligence recount to academic performance. The proposed work uses Observe, Amend and Analysis (OAA) Method in three different learning environment that allow the learner to learn as a team, share their ideas and thoughts, discuss with illusions, case studies and examples, to raise question and get answers, to use presentation, to provide feedback and get instructions, alerts and meaningful resource from faculty. The learners mark, attendance, attitude, interest, scrutiny and the performance measures are improved with positive-based emotional learning environment. The proposed method enhance the learners learning and evaluate performance using Neural Network to enhance the future outcome. The implementation upshots proven that with the proposed approach the learners learning is improved with positive emotions.