dc.contributor.author | Sam-Oloyede, Rachel Chinye | |
dc.date.accessioned | 2019-08-08T10:13:53Z | |
dc.date.available | 2019-08-08T10:13:53Z | |
dc.date.issued | 2017-11-12 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/123456789/4897 | |
dc.description.abstract | Education is a vital ingredient for a sustainable economy where “knowledge is power”. M- learning initiatives can lessen the digital divide in education and promote a knowledge-based economy. The high saturation of mobile technology has made it imperative to have mobile applications that provide solutions in many aspects of the economy, including education. Smartphones/tablets have gradually become widely adopted mobile learning devices. In
Science and Engineering, Automata Theory is a core subject that is abstract and mathematical in nature, which makes it difficult to teach and learn by educators and students respectively.
This research is focused on the development of a Smart Multimedia Learning System (SMLS)that provides a multi-sensory learning experience for Automata Theory. The system provides a Finite State Automata (FSA) simulator, a real-time assessment and feedback mechanism for performance tracking. Moreover, SMLS has an integrated text-chat to support active and collaborative learning. | en_US |
dc.description.sponsorship | AUST and AfDB. | en_US |
dc.language.iso | en | en_US |
dc.subject | 2017 Computer Science and Engineering Theses | en_US |
dc.subject | Rachel Chinye Sam-Oloyede | en_US |
dc.subject | Prof. Hamada Mohammed | en_US |
dc.subject | learning | en_US |
dc.subject | mobile learning | en_US |
dc.subject | e-learning | en_US |
dc.subject | multimedia | en_US |
dc.subject | Android | en_US |
dc.subject | automata | en_US |
dc.subject | Learning Management System | en_US |
dc.subject | interactive system | en_US |
dc.subject | FSA simulator | en_US |
dc.subject | real-time assessment | en_US |
dc.title | Smart Multimedia Learning System for Automata Theory | en_US |
dc.type | Thesis | en_US |