Factors Influencing Students' Behavioural Intention to Adopt and use Mobile Learning in Higher Educational Institutions in Nigeria: An Example of Ekiti State University, Ado-Ekiti

Rapid explosion of mobile technologies and its services in Nigeria has provided a new platform for higher institutions to widen access to education through mobile learning. Mobile technologies provide learners with flexibility and ubiquity to learn anytime and anywhere via wireless Internet. However, few researches have been conducted to investigate factors that contribute towards students' adoption and use of mobile learning in Nigeria. Therefore, this study applied the Unified Theory of Acceptance and Use of Technology (UTAUT) model to investigate students' behavioural intention to adopt and use mobile learning in higher educational institutions in Nigeria. This study follows a quantitative approach and a survey questionnaire was developed and utilised as the main instrument for data collection. A sample of 250 students was selected from five different schools and four hypotheses are formulated. The data collected was tested against the research model using regression analysis. The results showed that, three factors with the exception of facilitating conditions: performance expectancy, effort expectancy and social influence had significant positive effects on students' intention to adopt and use mobile learning with performance expectancy being the strongest predictor. Further, the findings show that the developed model explains 48.2% of the variance in the adoption intention to use M-Learning. Based on these findings, M-Learning services that based on students' suggestions in order to meet their performance expectations must be developed and the M-Learning content must be compatible with different mobile devices along with their operating system. Educational institutions should increase students' awareness about the expected benefits and advantages of using M-Learning system. Mobile learning providers should conduct training and awareness to early adopters who are already using various mobile services. These early adopters have the potential to persuade their colleagues and friends to adopt to use mobile learning.