A Proposed Framework for Generating Random Objective Exams using Paragraphs of Electronic Courses

Abstract

Objective exams (OE) plays a major role in educational assessment as well as in electronic learning. The main problem in the traditional system of exams is a low quality of questions caused by some human factors, such as the traditional method for the development of the exam covers a narrow scope of curriculum topics. This does nothing for the separation of teaching process about the examination process. In this study we present a framework that generates three types of Objective exams questions (multiple choice questions (MCQ), true-false question (T/FQ), and complete Questions (CQ) from paragraphs of electronic course. The proposed framework consists of a lot of main stages, it uses both of the natural language processing (NLP) techniques to generate three types of questions (GFQ, T/FQ, and MCQ), and exam maker (EM), it uses the generated questions to produce the objective exams. The proposed system was evaluated by the extent of its ability to generate multiple objective questions. The questions that have been generated from the proposed system was presented to the three of the arbitrators specialists in the field of computer networks to express an opinion on the extent of their relationship to E-course and the accuracy of linguistic and scientific formulation. The results of the study showed an increase in the accuracy and number of the objective exams that were generated through the proposed system compared to the accuracy and number of the exams created by the traditional system this proves the efficiency of the proposed system.

Authors and Affiliations

Elsaeed E. AbdElrazek

Keywords

Related Articles

Impact of Web 2.0 on Digital Divide in AJ&K Pakistan

Digital divide is normally measured in terms of gap between those who can efficiently use new technological tools, such as internet, and those who cannot. It was also hypothesized that web 2.0 tools motivate people to us...

A New Strategy to Optimize the Load Migration Process in Cloud Environment

Cloud computing is a model of internet-based service that provides easy access to a set of changeable computational sources through internet for users based on their demand. Load balancing in cloud have to manage service...

Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System

It is estimated that more than half of the world population lives in cities according to (UN forecasts, 2014), so cities are vital. Cities, as we all know facing with complex challenges – for smart cities the outdated tr...

Application of the Hierarchy Analysis Method at the Foodstuffs Quality Evaluation

In Russia as well as in the other countries of the world national programs are implemented to improve the health of the population. An integral part of those programs are measures of improvement of food processes structu...

Investigating the Use of Machine Learning Algorithms in Detecting Gender of the Arabic Tweet Author

Twitter is one of the most popular social network sites on the Internet to share opinions and knowledge extensively. Many advertisers use these Tweets to collect some features and attributes of Tweeters to target specifi...

Download PDF file
  • EP ID EP261399
  • DOI 10.14569/IJACSA.2017.080956
  • Views 75
  • Downloads 0

How To Cite

Elsaeed E. AbdElrazek (2017). A Proposed Framework for Generating Random Objective Exams using Paragraphs of Electronic Courses. International Journal of Advanced Computer Science & Applications, 8(9), 426-432. https://europub.co.uk/articles/-A-261399