Abstract
Voice-based web e-Education is a technology-supported learning paradigm that allows phone-access of learners to e-Learning web-based applications. These applications are designed mainly for the visually impaired. They are however lacking in attributes of adaptive and reusable learning objects, which are emerging requirements for applications in these domain. This paper presents a framework for developing intelligent voice-based applications in the context of e-Education. The framework presented supports intelligent components such as adaptation and recommendation services. A prototype Intelligent Voice-based E-Education System (iVEES) was developed and subjected to test by visually impaired users. A usability study was carried out using the International Standard Organization’s (ISO) 9241-11 specification to determine the level of effectiveness, efficiency and user satisfaction. Report of our findings shows that the application is of immense benefit, based on the system’s inherent capacity for taking autonomous decision that are capable of adapting to users’ requests.
Highlights
E-education entails the use of modern information and communication technology (ICT) in teaching and learning to enhance traditional classroom education and achieve better results in distance education, webbased learning and mobile learning [1]
This paper aims at addressing the need as identified, and employing the framework so obtained for the development of a prototype Intelligent Voice-based E-Education System capable of improving learning processes using telephone and web-based technologies
The framework was used as a generic work guideline to develop a prototype intelligent voice-based e
Summary
E-education entails the use of modern information and communication technology (ICT) in teaching and learning to enhance traditional classroom education and achieve better results in distance education, webbased learning and mobile learning [1]. The goal of adaptive voice-based web learning is to adjust the content of the learning objects to suite user’s knowledge level, whereas the recommendation services provide the most appropriate learning objects to users. The inability of existing e-Education voice applications to meet these requirements has some far reaching implications such as limited accessibility for certain users especially the visually impaired, and usability issues as a result of lack of features for reasoning, adaptation and recommendation. This paper aims at addressing the need as identified, and employing the framework so obtained for the development of a prototype Intelligent Voice-based E-Education System (iVEES) capable of improving learning processes using telephone and web-based technologies. Section three presents the proposed voice-based e-Education framework with specific emphasis on its adaptation and recommendation component services.
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