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Journal of Engineering and Applied Sciences
Year: 2019 | Volume: 14 | Issue: 1 SI | Page No.: 3891-3897
DOI: 10.36478/jeasci.2019.3891.3897  
Effiecient Versatile e-Learning Framework Based on Personality Traits and Kolb’s Learning Style
Upadhyay Anand Trilokinath and Santhosh Kumar Singh
 
Abstract: In the current world of technology, there exists enormous amount of data emerging every day, thus, the data needed to be utilized for a better purpose in business. The businesses like e-Commerce, banking, social media, e-Learning, etc., found useful with the mining techniques to mine the data to gather useful information from it. In the peak of e-Learning transmission in the instructive information mining field, there contains the effective increase of versatile and smart electronic mentors, instructive applications and tools and based on the tools and with applications mining frameworks in instructive information. The study proposes efficient web based versatile e-Learning framework. The study focuses on understanding the relationship between learner’s learning style and their personality. The research utilized information mining procedures added with learning styles, i.e., Kolb’s experiential learning styles. The main objective of the research included in deciding the best showing design for every learning participant based on their personality traits. The framework ensures the system is accessible everywhere and at anytime in web. It additionally includes the interesting features like learning recordings, versatile introductions and several tests for understudies. The research is produced for both educators and understudies for choosing the best learning process and accomplishes scholastic rates.
 
How to cite this article:
Upadhyay Anand Trilokinath and Santhosh Kumar Singh, 2019. Effiecient Versatile e-Learning Framework Based on Personality Traits and Kolb’s Learning Style. Journal of Engineering and Applied Sciences, 14: 3891-3897.
DOI: 10.36478/jeasci.2019.3891.3897
URL: http://medwelljournals.com/abstract/?doi=jeasci.2019.3891.3897