Open Access
Enhanced Assessment System to Improve The Efficiency of Current Generation Students
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1117.0886s19
Subject(s) - computer science , current (fluid) , learning effect , artificial intelligence , mathematics education , machine learning , engineering , psychology , electrical engineering , economics , microeconomics
Assessment leads to learning. The present generation students properly guided in their learning. The correct assessment improves the learning of the students. In the paper we present a new assessment model “E-Brahma” to assess the performance of the students in current academic scenario and it also enhance the learning system also. In this paper we propose an assessment algorithm. The experimental results show the efficiency of the proposed system.