{"title":"Exploring Factors Affecting Students' Satisfaction of M-Learning in High School","authors":"Peng Zhou, Ranran He, Dan Zhang, J. Rao","doi":"10.1109/EITT.2018.00036","DOIUrl":null,"url":null,"abstract":"M-learning has flourished in the field of education, and it has become an important element of educational technology. To explore the developing trends in mobile learning, this study used t-tests and ANOVA to explicate the effects of different grades, genders and parents' educational levels on the degree of students' satisfaction with m-learning. Then stepwise multiple regression analysis was used to predict the factors influencing m-learning satisfaction (SA). The results showed that gender differences did not have a significant impact on satisfaction, but the differences in grades and parents' education levels did. In addition, it was found that perceived usefulness and behavioral intention can be used as positive predictors of satisfaction with mobile learning. Finally, this paper puts forward some suggestions to improve users' satisfaction with m-learning.","PeriodicalId":259749,"journal":{"name":"2018 Seventh International Conference of Educational Innovation through Technology (EITT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Seventh International Conference of Educational Innovation through Technology (EITT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EITT.2018.00036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
M-learning has flourished in the field of education, and it has become an important element of educational technology. To explore the developing trends in mobile learning, this study used t-tests and ANOVA to explicate the effects of different grades, genders and parents' educational levels on the degree of students' satisfaction with m-learning. Then stepwise multiple regression analysis was used to predict the factors influencing m-learning satisfaction (SA). The results showed that gender differences did not have a significant impact on satisfaction, but the differences in grades and parents' education levels did. In addition, it was found that perceived usefulness and behavioral intention can be used as positive predictors of satisfaction with mobile learning. Finally, this paper puts forward some suggestions to improve users' satisfaction with m-learning.