GENERATING INTENTION OF ELEMENTARY SCHOOL STUDENTS TO USE SMARTPHONE IN LEARNING

Authors

  • SugengWidarso, Sugiyono Yogyakarta State University, Indonesia Author
  • Farida Hanum Yogyakarta State University, Indonesia Author
  • Martyaningrum State Elementary School of Tangkisan, Indonesia Author
  • Yudi Wardana Yogyakarta State University, Indonesia Author

DOI:

https://doi.org/10.61841/mch7x203

Keywords:

Intention, smartphones, elementary school, perceived characteristics of innovating

Abstract

This study aims to determine attributes in the model of Perceived Characteristics of Innovating Theory (PCIT), which can arouse students’ intention to use smartphones in learning at elementary school. This research uses quantitative methods; the questionnaire is used as an instrument to obtain data from all respondents and is made using a Likert scale in the form of a survey that must be answered by respondents as is. Respondents selected in this study were 225 students from seven state primary schools spread across seven provinces in Indonesia, consisting of classes 4, 5, and 6. Multiple regression analysis was used to measure the effect of independent variables on the dependent variables. The results of this study indicate that the relative adventage, visibility, and voluntariness attributes can significantly evoke the intention of elementary school students to use smartphones in learning. Meanwhile, the attributes of compatibility, trialability, ease of use, result demonstrability, and image were not significant in arousing the intention of elementary school students to use smartphones in learning. The results of the study are very useful for schools to make students want to use smartphones as a learning aid. 

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References

[1] Alshahrani, K. (2015). eLearning in Higher Education: From Teacher-centered to Learner-centered Design. Arabia: Deanship of Research & Doctoral Studies.

[2] Altan, B. A. & Karalar, H. (2018). How students digitally age: by gaining or losing, 17(2), 738–749. https://doi.org/10.17051/ilkonline.2018.419054

[3] Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016). Mental health smartphone apps: review and evidence-based recommendations for future developments. JMIR Mental Health, 3(1), e7. https://doi.org/10.2196/mental.4984

[4] Charith Perera, Srimal Jayawardena, Prem Prakash Jayaraman, C. H. L. (2014). Mobile sensing devices and platforms (61272509).

[5] Clarke, B., Atkinson, R., & Svanaes, S. (2015). How children use mobile devices at school and at home, September 2015. Techknowledge.

[6] Compeau, D. R., Ivey, R., Meister, D. B., & Higgins, C. A. (2007). From Prediction to Explanation: Reconceptualizing and Extending the Perceived Characteristics of Innovating. Journal of the Association for Information Systems, 8(1), 409–439. https://doi.org/Article

[7] Durak, H. Y. (2018). Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: demographic. The Social Science Journal, (2017). https://doi.org/10.1016/j.soscij.2018.09.003

[8] Green, M. (2019). Smartphones, Distraction Narratives, and Flexible Pedagogies: Students' Mobile Technology Practices in Networked Writing Classrooms. Computers and Composition, 52, 91–106. https://doi.org/10.1016/j.compcom.2019.01.009

[9] Hu, B. (2013). Wi-Fi-based indoor positioning system using smartphones, (November), 1–76.

[10] Jones, B. H. & Chin, A. G. (2015). On the efficacy of smartphone security: A critical analysis of modifications in business students’ practices over time. International Journal of Information Management, 35(5), 561–571. https://doi.org/10.1016/j.ijinfomgt.2015.06.003

[11] Kaya, T. & Bicen, H. (2016). The effects of social media on students’ behaviors; Facebook as a case study. Computers in Human Behavior, 59, 374–379. https://doi.org/10.1016/j.chb.2016.02.036

[12] Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22 140, 55. https://doi.org/2731047

[13] Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192

[14] Martin, M. (2019). The Implementation of School-Based Management in Public Elementary Schools. Asian Journal of Assessment in Teaching and Learning, 9(1), 44-56.

[15] Oshidary, N. S. (2012). High School on Facebook: An Ethnography of Social Media, New Technology, and Psychosocial Risks with “Always On” Teenagers.

[16] Özdamlı, F. & Yıldız, E. P. (2014). Parents’ Views towards Improve Parent-School Collaboration with Mobile Technologies. Procedia: Social and Behavioral Sciences, 131, 361-366. https://doi.org/10.1016/j.sbspro.2014.04.130

[17] Paakkari, A., Rautio, P., & Valasmo, V. (2019). Learning , Culture and Social Interaction Digital labour in school: Smartphones and their consequences in classrooms. Learning, Culture, and Social Interaction, 21 (January), 161–169. https://doi.org/10.1016/j.lcsi.2019.03.004

[18] Pereira, A. C.; Romero, F. (2017). A review of the meanings and implications of the Industry 4.0 concept. Procedia Manufacturing, 13, 1206–1214. https://doi.org/10.1016/j.promfg.2017.09.032

[19] Pistilli, N. & Cain, J. (2016). Using a healthcare practice framework to address smartphone use in the classroom. Currents in Pharmacy Teaching and Learning, 8(2), 247–253. https://doi.org/10.1016/j.cptl.2015.12.020

[20] Rahim, A., Safin, S. Z., Kheng, L. K., Abas, N., & Ali, S. M. (2016). Factors Influencing the Purchasing Intention of Smartphones among University Students. Procedia Economics and Finance, 37(16), 245–253. https://doi.org/10.1016/S2212-5671(16)30121-6

[21] Ramadiani, Azainil, Haryaka, U., Agus, F., & Kridalaksana, A. H. (2017). User satisfaction model for elearning using a smartphone. Procedia Computer Science, 116, 373–380. https://doi.org/10.1016/j.procs.2017.10.070

[22] Rogers, E. M. (1983). Diffusion of innovations. Macmillian Publishing Co. https://doi.org/citeulike-articleid:126680

[23] Seo, W., & Choi, I.-C. (2014). The effect of using a smartphone application on middle school students’ English expression learning and satisfaction. Multimedia-Assisted Language Learning, 17(1), 34–57. Retrieved from http://journal.kamall.or.kr/wp-content/uploads/2014/04/Seo+Choi_17_1_02.pdf

[24] Sherrell, R. S. (2014). The contribution of college students attachment styles and social media practices on their relationship development. College of Education and Human Performance at the University of Central Florida, Orlando, Florida, 160. https://doi.org/10.1017/CBO9781107415324.004

[25] Síthigh, D. D. Mac. (2012). App law within: Rights and regulation in the smartphone age. Environmental Law.

[26] So, S. (2016). Mobile instant messaging support for teaching and learning in higher education. Internet and Higher Education, 31, 32–42. https://doi.org/10.1016/j.iheduc.2016.06.001

[27] Tan, W. K., Hsiao, Y. J., Tseng, S. F., & Chan, C. L. (2018). Smartphone application personality and its relationship to personalities of smartphone users and social capital accrued through use of smartphone social applications. Telematics and Informatics, 35(1), 255-266. https://doi.org/10.1016/j.tele.2017.11.007

[28] Tecnopreneur, A. (2017). Penetrasi & perilaku pengguna internet Indonesia: Survey 2017. Retrieved from https://apjii.or.id/survei2017

[29] Tindall, D. B. & Groenewegen, T. (2014). Social media and politics. (K. Harvey, Ed.). SAGE Publications, Inc.

[30] Trilling, B. & Fadel, C. (2009). 21st century skills. Jossey-Bass, 256. https://doi.org/10.1145/1719292.1730970

[31] Tsai, T. H., Tseng, K. C., & Chang, Y. S. (2017). Testing the usability of smartphone surface gestures on different sizes of smartphones by different age groups of users. Computers in Human Behavior, 75, 103–116. https://doi.org/10.1016/j.chb.2017.05.013

[32] Yan, G., Rawat, D. B., Shi, H., & Alnusair, A. (2014). Developing and applying smartphone apps in online courses. Journal of Information Systems Education, 25(2), 149–159. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=lls&AN=101580412&site=eds-live&scope=site

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Published

30.04.2020

How to Cite

Sugiyono, S., Hanum, F., Martyaningrum, & Wardana, Y. (2020). GENERATING INTENTION OF ELEMENTARY SCHOOL STUDENTS TO USE SMARTPHONE IN LEARNING. International Journal of Psychosocial Rehabilitation, 24(2), 3711-3718. https://doi.org/10.61841/mch7x203