INAM, ITOROBONG AKPAN and Covenant University, Theses (2017) A VOICE-BASED e-EXAMINATION EXPERT SYSTEM FOR THE VISUALLY IMPAIRED IN OPEN AND DISTANCE LEARNING. Masters thesis, COVENANT UNIVERSITY.
![[img]](http://eprints.covenantuniversity.edu.ng/style/images/fileicons/other.png) |
PDF
Download (208Kb) |
Abstract
Open and Distance learning (ODL) is a means of acquiring knowledge without necessarily being in normal direct communication with the instructor. The aim of ODL is to increase access to education and by extension online examination for those who have difficulty accessing education such as the poor, illiterate, less privileged, and those with location and financial constraints. Most electronic examination (e-examination) systems are web-based, and studies on the accessibility level of distance education show that webbased form of examination does not fully meet the needs of visually impaired persons. Voice-based systems allow users access to information on the internet over a phone interface. Prior studies on ODL e-examination systems that make use of voice user interface do not sufficiently exhibit intelligent form of assessment, which diminishes the rigour of examination. The objective of this project is to improve on the achievements of previous studies by providing a voice-based e-examination expert system for ODL that demonstrates shuffling of examination questions to learners. The study employs a combination of technologies such as system design and modeling using Unified Modeling Language (UML), server side scripting, voice-based system development, data management and rule-based reasoning in order to develop a prototype voice-based eexamination expert system for ODL. The developed system was evaluated to determine the level of performance and usability. The result of the usability evaluation showed that the developed application has an ‘average usability’ rating of 3.48 out of 5 scales. The performance evaluation of the system using Paradigm for Dialogue System Evaluation (PARADISE) gave a score of 4.78 on a scale of 5 as the maximum. This shows that the voice-based e-examination system will not only complement the existing web-based
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mrs Hannah Akinwumi |
| Date Deposited: | 12 Mar 2020 13:04 |
| Last Modified: | 12 Mar 2020 13:04 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/13204 |
Actions (login required)
 |
View Item |
