ENHANCING TEACHING AND LEARNING FOR PLACEMENT TRAINING THROUGH LEARNING ANALYTICS USING R- TOOL

ABSTRACT Teaching and Learning process of an educational institution should be observed and successfully examined for upgrade. Teaching and Learning is a fundamental component for an educational establishment. It is additionally one of the criteria set by dominant part of the Accreditation Agencies around the globe. Learning analytics and Educational Data Mining are moderately new. Learning analytics refers to the collection of large volume of data about students in an educational setting and to analyse the data to predict the students future performance and interpret the results. Educational Data Mining (EDM) is develops methods to analyse the data produced by the students in educational settings and these methods helps to understand the students and the setting where they learn. Learning analytics solutions leverage the student learning data produced by nextgeneration learning management systems to allow education institutions to monitor, evaluate and predict student performance. As job assessment and placement activities become critical in the current market scenario, E-Learning technologies are now able to improve these kinds of processes, by delivering advanced services for learners. Assessment activities are a pool of services dedicated to skills and career development programs for Human Resources. The goal of this study is to investigate and describes the concept of learning analytics. An e-learning platform created on area of aptitude training which contains aptitude lessons, important formulas and testimonials. A total of 200 students participated. Specifically we determined that behavior in learning style and interest of learner's differs. Changes in their level of learning correspondingly affect the results. This study performed clustering on the learning style to know how comfortable participants would feel in reading the lesson. Classifying the score of students to know which they possess and comparing the scores of various category of learner. According to our results, learners who were studied and go through the lessons have secured more marks than who skip the lessons. Keywords: educational data mining, learning analytics, placement training, R-Tool.