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
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.
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