alexa Abstract | A Study on Creating Assessment Model for Miniature Question Answer Using Nearest Neighbor Search Keywords
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


We introduce a new Assessment model for nearest neighbour search keywords algorithm. The algorithm builds a nearest neighbour model. There are limited types of knowledge that can be assessed by multiple choice tests. In multiple choice questions a student can have simply select a random answer and still have a chance of receiving a mark for it. In a short answer question, the student types in a word or phrase or sentences in response to a question. The answer could be a word or a phrase, but it must match one of our acceptable keywords exactly. It’s a good idea to keep the required answer as short as possible to avoid missing a correct answer that's phrased differently. This feature allows a user to create, preview, and edit questions in a database of question categories. In this paper we are going to compare the entire template model produced by both training and testing phase. Measure the similarities between the two models and identify the quality and efficiency of the result using nearest neighbour keyword. The experimental results show what aspects are important for short answer question type classification in terms of both effectiveness and efficiency. We believe that the assessment model findings from this study will be useful in real-world student problems.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): L.Mary Immaculate Sheela, R.J.Poovaraghan


Nearest Neighbour(NN), Multiple Choice Question,, Parsing, Feature Matrix, Template model., Contraceptive Choice

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version