Online test paper generation for a web-based mathematics testing environment

With the rapid growth of the Internet and mobile devices, Web-based education has become a ubiquitous learning platform in many institutions to provide students with online learning courses and materials through freely accessible educational websites. To make learning effective, it is important to a...

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Main Author: Nguyen, Minh Luan
Other Authors: Hui Siu Cheung
Format: Theses and Dissertations
Language:English
Published: 2014
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Online Access:https://hdl.handle.net/10356/59538
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-595382023-03-04T00:37:50Z Online test paper generation for a web-based mathematics testing environment Nguyen, Minh Luan Hui Siu Cheung School of Computer Engineering 4G Research Lab DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications With the rapid growth of the Internet and mobile devices, Web-based education has become a ubiquitous learning platform in many institutions to provide students with online learning courses and materials through freely accessible educational websites. To make learning effective, it is important to assess and evaluate the proficiency and ability of the learners while they are learning the concepts. Currently, Web-based testing has been popularly used for automatic self-assessment especially in Web-based learning environments. Different from passive course archives like MIT OpenCourseWare, the online courses are interactive and can assess learners automatically on what they have learnt via Web-based testing. The main benefit is that learners can take classes at their own pace and get immediate feedback on their proficiency, unlike traditional classes. In this research, we propose a Web-based Mathematics Testing Environment, which consists of three major components, namely question item calibration, online test paper generation, and automatic solution assessment. Question item calibration calibrates the attributes of each question in the question database. Online test paper generation generates test papers automatically from the question database with online runtime requirement. After the test paper has been answered online, automatic solution assessment can then evaluate the correctness of user answers. This research aims to investigate different multiobjective optimization, data mining and probabilistic techniques for supporting the three components of the Web-based Mathematics testing environment. More specifically, it focuses mainly on online test paper generation, parallel test paper generation, automatic question difficulty calibration and automatic mathematical solution assessment. DOCTOR OF PHILOSOPHY (SCE) 2014-05-07T08:41:46Z 2014-05-07T08:41:46Z 2014 2014 Thesis Nguyen, M. L. (2014). Online test paper generation for a web-based mathematics testing environment. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/59538 10.32657/10356/59538 en 188 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Nguyen, Minh Luan
Online test paper generation for a web-based mathematics testing environment
description With the rapid growth of the Internet and mobile devices, Web-based education has become a ubiquitous learning platform in many institutions to provide students with online learning courses and materials through freely accessible educational websites. To make learning effective, it is important to assess and evaluate the proficiency and ability of the learners while they are learning the concepts. Currently, Web-based testing has been popularly used for automatic self-assessment especially in Web-based learning environments. Different from passive course archives like MIT OpenCourseWare, the online courses are interactive and can assess learners automatically on what they have learnt via Web-based testing. The main benefit is that learners can take classes at their own pace and get immediate feedback on their proficiency, unlike traditional classes. In this research, we propose a Web-based Mathematics Testing Environment, which consists of three major components, namely question item calibration, online test paper generation, and automatic solution assessment. Question item calibration calibrates the attributes of each question in the question database. Online test paper generation generates test papers automatically from the question database with online runtime requirement. After the test paper has been answered online, automatic solution assessment can then evaluate the correctness of user answers. This research aims to investigate different multiobjective optimization, data mining and probabilistic techniques for supporting the three components of the Web-based Mathematics testing environment. More specifically, it focuses mainly on online test paper generation, parallel test paper generation, automatic question difficulty calibration and automatic mathematical solution assessment.
author2 Hui Siu Cheung
author_facet Hui Siu Cheung
Nguyen, Minh Luan
format Theses and Dissertations
author Nguyen, Minh Luan
author_sort Nguyen, Minh Luan
title Online test paper generation for a web-based mathematics testing environment
title_short Online test paper generation for a web-based mathematics testing environment
title_full Online test paper generation for a web-based mathematics testing environment
title_fullStr Online test paper generation for a web-based mathematics testing environment
title_full_unstemmed Online test paper generation for a web-based mathematics testing environment
title_sort online test paper generation for a web-based mathematics testing environment
publishDate 2014
url https://hdl.handle.net/10356/59538
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