The Impact of E-learning system using Rank-based Clustering Algorithm (ESURBCA)

Abstract

E-learning is emerging as the new paradigm of modern education. Most of the e-learning systems have limitations such as scarcity of content, lack of intelligent search and context sensitive personalization problems, which are the challenging tasks for researchers. This motivated the author to take up this problem and the method implemented through this work suggests the instructors to use the combination of Elearning System Using Rank-Based Clustering Algorithm (ESURBCA) was designed. The main aim of the model developed is to get consistency in content delivery, quality content in learning materials, students self-learning concept, and performance improvement in their examination. A study has been conducted During June 2013 to September 2013, the author collected samples of 1631 from final year and Second year of BCA, B.SC and B.Sc-IT students were trained through e-learning system architecture and the objectives of this study is 1. To measure the effectiveness of E-learning System Using Rank-Based Clustering Algorithm (ESURBCA) among the students of Mercury College of arts and science And Sankara arts and Science College in concepts of Programming in JAVA Course. The newly designed E-learning System using Rank-Based Clustering Algorithm (EUSRBCA)shows an improvement over the existing systems with better results. From the various evaluations carried out, the performance of the system found to be good comparatively to other systems in e-learning domain.

Student Testing and Monitoring System (Stms) Using Nlp

“…An NER (Named Entity Recognition) Tool was needed to create which can recognize the nouns from a given phrase or sentence and produce proper questions from it. [9] Moreover, mind the Gap: Learning to Choose Gaps for Question Generation needs to address the problem of generating good questions into two parts: first, select sentences to be queried about, and second, to know which part of the sentence will be turned into a question. To achieve the goal of selecting better gap-fill questions, the author has broken down the task into stages i.e.…”

“…To achieve the goal of selecting better gap-fill questions, the author has broken down the task into stages i.e. Sentence selection, Question construction and Distractors generation [9,10].…”

Effectiveness of Data Mining Approaches to E-Learning System: A Survey

“…Another approach used to study the dependency level between learning management system, patterns of usage and results of learning presented by [1][2][3][4][5][6] researches implemented. Data mining techniques applied by the use of Pattern analysis with Associates, Classifiers, Clustering techniques and different Statistical methods [7] used the planning techniques for improving the contents and overall system.…”

“…The main issues in previous E-learning Systems are poorly managed course content system [6]. Student's classification based on the performance and on extra-curricular activities, detection of irregular learning attitudes and outlier, learning system including improper interaction with students/optimization, clustering with same E-learning system usage and, system enhancement/adaptation to student's requirement and capacity [1,3,7]. It is still challenging to provide an adaptive intelligent based learning environment.…”