Students' Characteristics Influence Readiness to Use Mobile Technology in Higher Education
Abstract The purpose of the current study was to explore students' characteristics that influence student's readiness to use mobile technology at An-Najah National University in Palestine. The researchers used a quantitative approach to achieve the purpose of the study. 214 students from different schools were participated in the study. A descriptive and one-way ANOVA to test the hypotheses were used in data analysis stage. The findings of the study revealed that the availability of technology is an important factor to use mobile technology in higher education, as well as the student's capability to use mobile technology for her study. Furthermore, student's attitudes towards mobile technology integration plays crucial role in student's readiness to use it. Higher education institutions could benefit from the findings of the study through designing capacity building programs for students to encourage them to use the mobile services inside and off campus. The limitations of the study were depending only on one tool for data collection from one university which could raise doubt about generalizing the findings to another context.
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Affouneh, S., Salha, S., & Khlaif, Z. N. (2020). Designing Quality E-Learning Environments for Emergency Remote Teaching in Coronavirus Crisis. Interdiscip. J. Virtual Learn. Med. Sc., 11(2), 1–3. https://doi.org/10.30476/ijvlms.2020.86120.1033
Ahmad, T. (2019). Undergraduate mobile phone use in the Caribbean: Implications for teaching and learning in an academic setting. J. Res. Innov. Teach. Learn., 13(2), 191–210. https://doi.org/10.1108/jrit-01-2019-0001
ALECSO. (2008). Plan for the development of education in the Arab countries. Education Development Plan in the Arab world. The Arab League Educational, Cultural and Scientific Organization, Tunisia, Tunis.
Bas, G., Kubiatko, M., & Murat, A. (2016). Teachers' perceptions towards ICTs in teaching-learning process: Scale validity and reliability study. Comput. Hum. Behav., 61, 176e185. https://doi.org/10.1016/j.chb.2016.03.022
Boticki, I., Barisic, A., Martin, S., & Drljevic, N. (2013). Teaching and learning computer science sorting algorithms with mobile devices: A case study. Comput. Appl. Eng. Educ., 21(S1), E41–E50. https://doi.org/10.1002/cae.21561
Briz-Ponce, L., Pereira, A., Carvalho, L., Juanes-Méndez, J. A., & García-Peñalvo, F. J. (2017). Learning with mobile technologies – Students’ behavior. Comput. Hum. Behav., 72, 612–620. https://doi.org/10.1016/j.chb.2016.05.027
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Comput. Educ., 59(3), 1054–1064. https://doi.org/10.1016/j.compedu.2012.04.015
Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53–64. https://doi.org/10.1016/j.compedu.2018.04.007
Huang, Y. (2014). Empirical analysis on factors impacting mobile learning acceptance in higher engineering education (doctoral dissertation). University of Tennessee.
Huang, R. T., & Yu, C. L. (2019). Exploring the impact of self-management of learning and personal learning initiative on mobile language learning: A moderated mediation model. Australas. J. Educ. Technol., 35(3). https://doi.org/10.14742/ajet.4188
Ibrahim, N., Ayub, A. F. M., & Khambari, M. N. M. (2016). The Predictors of Habitual Behavior in Using Mobile Phone among University Students. Int. J. New Technol. Res., 2(8), 9–15.
Inan, F. A., & Lowther, D. L. (2010a). Factors affecting technology integration in K-12 classrooms: A path model. Educ. Technol. Res. Dev., 58(2), 137–154. https://doi.org/10.1007/s11423-009-9132-y
Inan, F. A., & Lowther, D. L. (2010b). Laptops in the K-12 classrooms: Exploring factors impacting instructional use. Comput. Educ., 55(3), 937–944. https://doi.org/10.1016/j.compedu.2010.04.004
Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers' intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. J. Educ. Technol. Soc., 21(3), 48–59. https://doi.org/10.1080/14759390400200188
Kaliisa, R., Palmer, E., & Miller, J. (2019). Mobile learning in higher education: A comparative analysis of developed and developing country contexts. Brit. J. Educ. Technol., 50(2), 546–561. https://doi.org/10.1111/bjet.12583
Khlaif, Z. (2018a). Teachers' perceptions of factors affecting their adoption and acceptance of mobile technology in K-12 settings. Comput. Sch., 35(1), 49–67. https://doi.org/10.1080/07380569.2018.1428001
Khlaif, Z. N. (2018b). Factors influencing teachers’ attitudes toward mobile technology integration in K-12. Technol. Knowl. Learn., 23(1), 161–175. https://doi.org/10.1007/s10758-017-9311-6
Khlaif, Z. N., & Salha, S. (2020). The Unanticipated Educational Challenges of Developing Countries in Covid-19 Crisis: A Brief Report. Interdiscip. J. Virtual Learn. Med. Sci., 11(2), 130–134. https://doi.org/10.30476/IJVLMS.2020.86119.1034
Lai, K. W., & Hong, K. S. (2015). Technology use and learning characteristics of students in higher education: Do generational differences exist? Brit. J. Educ. Technol., 46(4), 725–738. https://doi.org/10.1111/bjet.12161
Mei, B., Brown, G. T. L., & Teo, T. (2018). Toward an understanding of preservice English as a foreign language teachers' acceptance of computer-assisted language learning 2.0 in the People's Republic of China. J. Educ. Comput. Res., 56(1), 74–104. https://doi.org/10.1177/0735633117700144
Mutlu, M. H. (2017). Unified theory of acceptance and use of technology: The adoption of mobile messaging application. Megatrend Revija, 14(1), 169–186. https://doi.org/10.5937/MegRev1701169M
Pedro, L. F. M. G., de Oliveira Barbosa, C. M. M., & das Neves Santos, C. M. (2018). A critical review of mobile learning integration in formal educational contexts. Int. J. Educ. Technol. High. Educ., 15(1), 10. https://doi.org/10.1186/s41239-018-0091-4
Salha, S., Affouneh, S., & Khlaif, Z. N. (2019). Palestinian perspective in digitalization of teacher professional development (TPD). Comenius Journal, 28, 41–43.
Sánchez-Prieto, J. C., Olmos-Migueláñez, S., & García-Peñalvo, F. J. (2017). MLearning and pre-service teachers: An assessment of the behavioral intention using an expanded TAM model. Comput. Hum. Behav., 72, 644–654. https://doi.org/10.1016/j.chb.2016.09.061
Shaqour, A. Z. (2014). Students' Readiness towards M-Learning: A Case Study of Pre-Service Teachers in Palestine. J. Educ. Soc. Res., 4(6), 19–26. https://doi.org/10.5901/jesr.2014.v4n6p19
Sharples, M., Milrad, M., Arnedillo, I., & Vavoula, G. (2009). Mobile Learning: Small devices, Big Issues. In N. Balacheff, S. Ludvigsen, T. d. Jong, A. Lazonder, & S. Barnes (Eds.), Technology Enhanced Learning: Principles and Products (pp. 233–249). Heidelberg: Springer. https://doi.org/10.1007/978-1-4020-9827-7_14
Shraim, K., & Crompton, H. (2015). Perceptions of Using Smart Mobile Devices in Higher Education Teaching: A Case Study from Palestine. Contemp. Educ. Technol., 6(4), 301–318. https://doi.org/10.30935/cedtech/6156
UNESCO. (2016). Incheon declaration and Framework for action for the implementation of Sustainable Development Goal 4. Towards inclusive and equitable quality education and lifelong learning opportunities for all. Education 2030. UNESCO. https://bit.ly/3rY0bwE
Traxler, J., Khaif, Z., Nevill, A., Affouneh, S., Salha, S., Zuhd, A., & Trayek, F. (2019). Living under occupation: Palestinian teachers’ experiences and their digital responses. Res. Learn. Technol., 27. https://doi.org/10.25304/rlt.v27.2263
Zhang, X., Lo, P., So, S., Chiu, D. K., Leung, T. N., Ho, K. K., & Stark, A. (2020). Medical students’ attitudes and perceptions towards the effectiveness of mobile learning: A comparative information-need perspective. J. Librariansh. Inf. Sci., 53(1), 116–129. https://doi.org/10.1177/0961000620925547
Ahmad, T. (2019). Undergraduate mobile phone use in the Caribbean: Implications for teaching and learning in an academic setting. J. Res. Innov. Teach. Learn., 13(2), 191–210. https://doi.org/10.1108/jrit-01-2019-0001
ALECSO. (2008). Plan for the development of education in the Arab countries. Education Development Plan in the Arab world. The Arab League Educational, Cultural and Scientific Organization, Tunisia, Tunis.
Bas, G., Kubiatko, M., & Murat, A. (2016). Teachers' perceptions towards ICTs in teaching-learning process: Scale validity and reliability study. Comput. Hum. Behav., 61, 176e185. https://doi.org/10.1016/j.chb.2016.03.022
Boticki, I., Barisic, A., Martin, S., & Drljevic, N. (2013). Teaching and learning computer science sorting algorithms with mobile devices: A case study. Comput. Appl. Eng. Educ., 21(S1), E41–E50. https://doi.org/10.1002/cae.21561
Briz-Ponce, L., Pereira, A., Carvalho, L., Juanes-Méndez, J. A., & García-Peñalvo, F. J. (2017). Learning with mobile technologies – Students’ behavior. Comput. Hum. Behav., 72, 612–620. https://doi.org/10.1016/j.chb.2016.05.027
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Comput. Educ., 59(3), 1054–1064. https://doi.org/10.1016/j.compedu.2012.04.015
Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53–64. https://doi.org/10.1016/j.compedu.2018.04.007
Huang, Y. (2014). Empirical analysis on factors impacting mobile learning acceptance in higher engineering education (doctoral dissertation). University of Tennessee.
Huang, R. T., & Yu, C. L. (2019). Exploring the impact of self-management of learning and personal learning initiative on mobile language learning: A moderated mediation model. Australas. J. Educ. Technol., 35(3). https://doi.org/10.14742/ajet.4188
Ibrahim, N., Ayub, A. F. M., & Khambari, M. N. M. (2016). The Predictors of Habitual Behavior in Using Mobile Phone among University Students. Int. J. New Technol. Res., 2(8), 9–15.
Inan, F. A., & Lowther, D. L. (2010a). Factors affecting technology integration in K-12 classrooms: A path model. Educ. Technol. Res. Dev., 58(2), 137–154. https://doi.org/10.1007/s11423-009-9132-y
Inan, F. A., & Lowther, D. L. (2010b). Laptops in the K-12 classrooms: Exploring factors impacting instructional use. Comput. Educ., 55(3), 937–944. https://doi.org/10.1016/j.compedu.2010.04.004
Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers' intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. J. Educ. Technol. Soc., 21(3), 48–59. https://doi.org/10.1080/14759390400200188
Kaliisa, R., Palmer, E., & Miller, J. (2019). Mobile learning in higher education: A comparative analysis of developed and developing country contexts. Brit. J. Educ. Technol., 50(2), 546–561. https://doi.org/10.1111/bjet.12583
Khlaif, Z. (2018a). Teachers' perceptions of factors affecting their adoption and acceptance of mobile technology in K-12 settings. Comput. Sch., 35(1), 49–67. https://doi.org/10.1080/07380569.2018.1428001
Khlaif, Z. N. (2018b). Factors influencing teachers’ attitudes toward mobile technology integration in K-12. Technol. Knowl. Learn., 23(1), 161–175. https://doi.org/10.1007/s10758-017-9311-6
Khlaif, Z. N., & Salha, S. (2020). The Unanticipated Educational Challenges of Developing Countries in Covid-19 Crisis: A Brief Report. Interdiscip. J. Virtual Learn. Med. Sci., 11(2), 130–134. https://doi.org/10.30476/IJVLMS.2020.86119.1034
Lai, K. W., & Hong, K. S. (2015). Technology use and learning characteristics of students in higher education: Do generational differences exist? Brit. J. Educ. Technol., 46(4), 725–738. https://doi.org/10.1111/bjet.12161
Mei, B., Brown, G. T. L., & Teo, T. (2018). Toward an understanding of preservice English as a foreign language teachers' acceptance of computer-assisted language learning 2.0 in the People's Republic of China. J. Educ. Comput. Res., 56(1), 74–104. https://doi.org/10.1177/0735633117700144
Mutlu, M. H. (2017). Unified theory of acceptance and use of technology: The adoption of mobile messaging application. Megatrend Revija, 14(1), 169–186. https://doi.org/10.5937/MegRev1701169M
Pedro, L. F. M. G., de Oliveira Barbosa, C. M. M., & das Neves Santos, C. M. (2018). A critical review of mobile learning integration in formal educational contexts. Int. J. Educ. Technol. High. Educ., 15(1), 10. https://doi.org/10.1186/s41239-018-0091-4
Salha, S., Affouneh, S., & Khlaif, Z. N. (2019). Palestinian perspective in digitalization of teacher professional development (TPD). Comenius Journal, 28, 41–43.
Sánchez-Prieto, J. C., Olmos-Migueláñez, S., & García-Peñalvo, F. J. (2017). MLearning and pre-service teachers: An assessment of the behavioral intention using an expanded TAM model. Comput. Hum. Behav., 72, 644–654. https://doi.org/10.1016/j.chb.2016.09.061
Shaqour, A. Z. (2014). Students' Readiness towards M-Learning: A Case Study of Pre-Service Teachers in Palestine. J. Educ. Soc. Res., 4(6), 19–26. https://doi.org/10.5901/jesr.2014.v4n6p19
Sharples, M., Milrad, M., Arnedillo, I., & Vavoula, G. (2009). Mobile Learning: Small devices, Big Issues. In N. Balacheff, S. Ludvigsen, T. d. Jong, A. Lazonder, & S. Barnes (Eds.), Technology Enhanced Learning: Principles and Products (pp. 233–249). Heidelberg: Springer. https://doi.org/10.1007/978-1-4020-9827-7_14
Shraim, K., & Crompton, H. (2015). Perceptions of Using Smart Mobile Devices in Higher Education Teaching: A Case Study from Palestine. Contemp. Educ. Technol., 6(4), 301–318. https://doi.org/10.30935/cedtech/6156
UNESCO. (2016). Incheon declaration and Framework for action for the implementation of Sustainable Development Goal 4. Towards inclusive and equitable quality education and lifelong learning opportunities for all. Education 2030. UNESCO. https://bit.ly/3rY0bwE
Traxler, J., Khaif, Z., Nevill, A., Affouneh, S., Salha, S., Zuhd, A., & Trayek, F. (2019). Living under occupation: Palestinian teachers’ experiences and their digital responses. Res. Learn. Technol., 27. https://doi.org/10.25304/rlt.v27.2263
Zhang, X., Lo, P., So, S., Chiu, D. K., Leung, T. N., Ho, K. K., & Stark, A. (2020). Medical students’ attitudes and perceptions towards the effectiveness of mobile learning: A comparative information-need perspective. J. Librariansh. Inf. Sci., 53(1), 116–129. https://doi.org/10.1177/0961000620925547
Shaqour, A., Salha, S., & Khlaif, Z. (2021). Students’ Characteristics Influence Readiness to Use Mobile Technology in Higher Education. Education in The Knowledge Society, 22, e23915. https://doi.org/10.14201/eks.23915
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