Show simple item record

Smart Multimedia Learning System for Automata Theory

dc.contributor.authorSam-Oloyede, Rachel Chinye
dc.date.accessioned2019-08-08T10:13:53Z
dc.date.available2019-08-08T10:13:53Z
dc.date.issued2017-11-12
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/4897
dc.description.abstractEducation 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.sponsorshipAUST and AfDB.en_US
dc.language.isoenen_US
dc.subject2017 Computer Science and Engineering Thesesen_US
dc.subjectRachel Chinye Sam-Oloyedeen_US
dc.subjectProf. Hamada Mohammeden_US
dc.subjectlearningen_US
dc.subjectmobile learningen_US
dc.subjecte-learningen_US
dc.subjectmultimediaen_US
dc.subjectAndroiden_US
dc.subjectautomataen_US
dc.subjectLearning Management Systemen_US
dc.subjectinteractive systemen_US
dc.subjectFSA simulatoren_US
dc.subjectreal-time assessmenten_US
dc.titleSmart Multimedia Learning System for Automata Theoryen_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • Computer Science89

    This collection contains Computer Science Student's Theses from 2009-2019

Show simple item record