{"title":"Exploring the factors influencing mobile technology integration in higher education","authors":"Zuheir N. Khlaif, S. Salha","doi":"10.1080/1475939X.2022.2052949","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study proposed and tested an empirical model to examine the relationships between the factors influencing mobile technology integration in higher education from the students’ and faculty points of view. A sequential mixed method was used to meet the aim of the study. The findings of the qualitative phase were used to develop the quantitative instrument. The participants in the qualitative data collection were 39 students and faculty members. In addition, the participants were 300 graduate students from two large universities in northern Palestine. The findings of the study revealed that the proposed model helps in explaining factors affecting students’ mobile technology integration and exploring relationships between the factors. Furthermore, students’ attitudes and beliefs, the quality of service, patronisation, the cost of service and the instructors had a significant impact on students’ mobile technology integration in higher education.","PeriodicalId":46992,"journal":{"name":"Technology Pedagogy and Education","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology Pedagogy and Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/1475939X.2022.2052949","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 2
Abstract
ABSTRACT This study proposed and tested an empirical model to examine the relationships between the factors influencing mobile technology integration in higher education from the students’ and faculty points of view. A sequential mixed method was used to meet the aim of the study. The findings of the qualitative phase were used to develop the quantitative instrument. The participants in the qualitative data collection were 39 students and faculty members. In addition, the participants were 300 graduate students from two large universities in northern Palestine. The findings of the study revealed that the proposed model helps in explaining factors affecting students’ mobile technology integration and exploring relationships between the factors. Furthermore, students’ attitudes and beliefs, the quality of service, patronisation, the cost of service and the instructors had a significant impact on students’ mobile technology integration in higher education.