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Mobile Learning Usage and Preferences of Vocational Secondary School Students: The cases of Austria, the Czech Republic, and Germany

, 18–26. https://doi.org/10.1016/j.iheduc.2013.06.002 Grant, P., & Basye, D. (2014). Personalized learning: A guide for engaging students with technology . Eugene: International Society for Technology in Education. Hsu, C. K., Hwang, G. J., & Chang, C. K. (2013). A personalized recommendation-based mobile learning approach to improving the reading performance of EFL students. Computers & Education, 63 , 327–336. https://doi.org/10.1016/j.compedu.2012.12.004 Hsu, Y. C., & Ching, Y. H. (2015). A review of models and frameworks for designing mobile

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Students’ Behavioral Intentions Regarding the Future Use of Quantitative Research Methods

acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38 (3), 475-487. https://doi.org/10.1006/imms.1993.1022 Dizon, G. (2016). Measuring Japanese EFL student perceptions of Internet-based tests with the technology acceptance model. The Electronic Journal for English as a Second Language, 2 , 1-17. Emmioğlu, E., & Capa-Aydin, Y. (2012). Attitudes and achievement in statistics: a meta-analysis study. Statistics Education Research Journal, 11 (2), 95

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