Multimodal Interaction for Mobile Learning

Kondratova, Irina

doi:10.1007/978-3-642-02710-9_36

Cited by 6 publications

(2 citation statements)

References 19 publications

(16 reference statements)

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“…The motivation for this work was to enable learners to access collaborative learning services regardless of their situation and location. Kondratova (2009) discusses issues associated with improving usability of user interactions with mobile devices in mobile learning applications. The focus is on using speech recognition and multimodal interac-tion in order to improve usability of data entry and information management for mobile learners.…”

Section: Review Of Existing Systemsmentioning

confidence: 99%

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A Voice-Enabled Framework for Recommender and Adaptation Systems in E-Learning

Azeta

Ayo

Omoregbe

Integrated Models for Information Communication Systems and Networks

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With the proliferation of learning resources on the Web, finding suitable content (using telephone) has become a rigorous task for voice-based online learners to achieve better performance. The problem with Finding Content Suitability (FCS) with voice E-Learning applications is more complex when the sight-impaired learner is involved. Existing voice-enabled applications in the domain of E-Learning lack the attributes of adaptive and reusable learning objects to be able to address the FCS problem. This study provides a Voice-enabled Framework for Recommender and Adaptation (VeFRA) Systems in E-learning and an implementation of a system based on the framework with dual user interfaces – voice and Web. A usability study was carried out in a visually impaired and non-visually impaired school using the International Standard Organization’s (ISO) 9241-11 specification to determine the level of effectiveness, efficiency and user satisfaction. The result of the usability evaluation reveals that the prototype application developed for the school has “Good Usability” rating of 4.13 out of 5 scale. This shows that the application will not only complement existing mobile and Web-based learning systems, but will be of immense benefit to users, based on the system’s capacity for taking autonomous decisions that are capable of adapting to the needs of both visually impaired and non-visually impaired learners.

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Section: Review Of Existing Systemsmentioning

confidence: 99%

“…Many universities and research laboratories have put their efforts to a development of the spoken language technology (Lerlerdthaiyanupap, 2008). However, voice technology is limited to only one form of input and output -human voice (Kondratova, 2009).…”

Section: Motivation For the Studymentioning

confidence: 99%