Factors that affect University College Students’ acceptance and use of Mobile Learning (ML)

Abstract

The current study aimed to know the factors that affect university college student’s acceptance and use of Mobile learning (ML), and to discover the relationships between these factors. The researcher used the relational descriptive approach through the questionnaire Instrument. The questionnaire consisted of (25) items distributed on (7) factors (Others Influence, ML Effort, ML Benefits, Usage Motives, Student capabilities, Usage Expectations and Usage rate). The study sample consisted of (2077) students from university colleges in Jordan, and they were chosen by the available sample method. Modelling the structural equation was used to extract the correct data using the statistical analysis program SPSS. The results of the study showed the validity of the study hypotheses and that the specific factors (ML Benefits, ML Effort, others Influence, Usage Motives, Student capabilities, Usage Expectations and Usage rate) affect the intention and use of the University's college students for Mobile learning. The use of Mobile learning in Jordanian university colleges is very low. Therefore, it is important to research the factors that can contribute to students' acquisition of information. This research contributes to determining the factors that affect university college student’s acceptance and use of Mobile learning in Jordan. According to the results of the study, the researcher recommends the university administration to take attention to the factors affecting students’intention to use educational funds to achieve academic program outcomes.