International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Hybrid Recommender System for Assessment in Multi-Constraint Academic Paradigm: A Review , Authors : Prof. Susanta Kumar Nayak, Dr. Kamal Miyalal Alaskar, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 4, Issue 5(2), September - October 2015

Title:
Hybrid Recommender System for Assessment in Multi-Constraint Academic Paradigm: A Review
Author Name:
Prof. Susanta Kumar Nayak, Dr. Kamal Miyalal Alaskar
Abstract:
Abstract Assessment is essential not only to guide the development of individual students but also to monitor and continuously improve the quality of programs, inform prospective students and their parents, and provide evidence of accountability to those who pay our way. Various definitions of assessment and the role it plays in teaching and learning:[1] Assessment involves the use of empirical data on student learning to refine programs and improve student learning. Assessment is the process of gathering and discussing information from multiple and diverse sources in order to develop a deep understanding of what students know, understand, and can do with their knowledge as a result of their educational experiences. [4] Keywords: Recommender, Hybrid, Assessment, Paradigm, constraint
Cite this article:
Prof. Susanta Kumar Nayak, Dr. Kamal Miyalal Alaskar , " Hybrid Recommender System for Assessment in Multi-Constraint Academic Paradigm: A Review " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 4, Issue 5(2), September - October 2015 , pp. 023-027 , ISSN 2278-6856.
Full Text [PDF]                          Home