A Location-Based Privacy Preserving Framework for M-Learning Adoption to Enhance Distance Education in Kenya: Literature Review
Abstract: The aim of this paper is to study m-learning literature in order to propose and develop a privacy-preserving framework which can be used to foster sustainable deployment of mobile learning within open and distance education in Kenya. Location-based privacy in mobile learning is essential to retain users� trust, key to influencing usage intention. Any risk on privacy can negatively affect users� perceptions of a system�s reliability and trustworthiness. While extant studies have proposed frameworks for mobile technologies adoption into learning, few have integrated privacy aspects and their influence on m-learning implementation. The framework would provide University management with informed approach to consider privacy preserving aspects in m-learning implementation. Also, it could provide enlightened guidance to mobile learning application developers on the need to cater for learners� privacy aspects.
Keywords: Location Privacy; Mobile Learning; M-learning; Security; Distance Education.
How to Cite:
[1] Peter B. Obiria, Micheal W. Kimwele, Wilson K. Cheruiyot, Gitau Mwangi, “A Location-Based Privacy Preserving Framework for M-Learning Adoption to Enhance Distance Education in Kenya: Literature Review,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.41002
