A Location-Based Privacy Preserving Model for M-Learning Adoption to Enhance Distance Education in Kenya

Abstract

Developments in mobile learning have seen the adoption of high power, location-aware mobile gadgets in distance education. Location-based privacy in mobile learning is essential to retain users’ trust, key to influencing usage intention. While extant studies have proposed models for mobile technologies adoption into learning, few have integrated location privacy aspects and their influence on m-learning implementation. Hence, there was need to develop a location-based privacy-preserving model to evaluate learners’ behavioral intention to use location-aware mobile systems for distance education. The research employed descriptive design and with a questionnaire, data was collected by sending a URL link to 336 University students registered for Distance Learning, and replies were obtained from 323 learners, representing 96.13% respondents. Using SPSS version 20 and WarpPLS 5.0, data was statistically analyzed and results discussed accordingly to answer the research’s research questions. A new model based on extant theoretical models was presented, tested and found to fit well based on the recommended quality indices. The research shall provide University management with informed approach to consider privacy-preserving aspects in m-learning implementation. It will also provide enlightened guidance to mobile learning application developers on the need to cater for learners’ location-based privacy.