The use of smartphones for online learning interactions by elementary school students
DOI:
https://doi.org/10.47750/pegegog.13.01.11Keywords:
Online learning, Smartphones for learners, Teacher and students’ learning interactionAbstract
The purpose of this study was to determine the effect of using smartphones for online learning on teachers’ and students’ interactions in learning that occurred during the COVID-19 pandemic. Respondents were 303 elementary school students, randomly selected by filling out questions through a Google form application. 20 items were provided, 10 items for the OLWS variable and 10 items for the TSI variable, which were adopted from several literature articles and adapted to the problem of this research. The data normality test was previously carried out and continued with testing the level of validity and reliability of the instrument, followed by evaluation of the structural model related to hypothesis testing using SPSS and SmartPLS/AMOS. The result determined by the PLS-SEM algorithm is 0.507, which is greater than the recommended value, indicating that the model has a reasonable level of justification for the variance in user behavior objectives. The only hypothesis (H1) is supported by the t-value of 15.399 (> 1.96) and a P-value of 0.000 (0.05), which indicates that OLWS has a positive and significant effect on TSI. Since the teacher's role in transferring knowledge to students requires special, sophisticated, and new equipment that is readily available, easy to use, and that follows technological advances, so the interaction between teachers and students in learning can occur properly, effectively, efficiently, and will encourage quality results.
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Al-hunaiyyan, A., Al-Sharhan, S., & Alhajri, R. (2017). A New Mobile Learning Model in the Context of Smart Classroom Environment : A Holistic Approach. International Journal of Interactive Mobile Technologies, 11(3), 39–56. https://doi.org/https://doi.org/10.3991/ijim.v11i3.6186
Alabdulkareem, S. A. (2015). Exploring the Use and the Impacts of Social Media on Teaching and Learning Science in Saudi. Procedia - Social and Behavioral Sciences, 182, 213–224. https://doi.org/10.1016/j.sbspro.2015.04.758
Albion, P. R., & Tondeur, J. (2018). Information and Communication Technology and Education: Meaningful Change Through Teacher Agency (Issue March). Springer International Handbooks of Education. https://doi.org/10.1007/978-3-319-71054-9_25
Alsharida, R. A., Hammood, M. M., & Al-emran, M. (2021). Mobile Learning Adoption : A Systematic Review of the Technology Acceptance Model from 2017 to 2020. IJET, 16(05), 147–162.
Awouters, V., & Jans, S. (2009). E-learning competencies for teachers in secondary and higher education. International Journal of Emerging Technologies in Learning, 4(2), 58–60. https://doi.org/10.3991/ijet.v4i2.739
Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Reaearch (Issue 9). The Guilford Press. https://doi.org/10.1017/CBO9781107415324.004
Cheah, J. H., Sarstedt, M., Ringle, C. M., Ramayah, T., & Ting, H. (2018). Convergent validity assessment of formatively measured constructs in PLS-SEM: On using single-item versus multi-item measures in redundancy analyses. International Journal of Contemporary Hospitality Management, 30(11), 3192–3210. https://doi.org/10.1108/IJCHM-10-2017-0649
Chiu, S. I. (2014). The relationship between life stress and smartphone addiction on taiwanese university student: A mediation model of learning self-Efficacy and social self-Efficacy. Computers in Human Behavior, 34, 49–57. https://doi.org/10.1016/j.chb.2014.01.024
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
Davis, T., & Frederick, T. V. (2020). The impact of multimedia in course design on students’ performance and online learning experience: a pilot study of an introductory educational computing course. Online Learning, 24(3), 147–162. https://doi.org/10.24059/olj.v24i3.2069
Elfeky, A. I. M., Masadeh, T. S. Y., & Elbyaly, M. Y. H. (2020). Advance organizers in flipped classroom via e-learning management system and the promotion of integrated science process skills. Thinking Skills and Creativity, 35, 1–11. https://doi.org/10.1016/j.tsc.2019.100622
Gruber, S. (2015). Ideologies in Online Learning Environments: The Need for Multiple Stories. Journal of Interactive Online Learning, 13(4), 39–53. http://www.ncolr.org/jiol/issues/pdf/13.4.3.pdf
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.
Hosseini, S. E., Charters, S., Anthony, P., & Alhazmi, A. K. (2021). Effects of “ the Selected Smartphone Social-Messaging Applications ” Training on Iranian Elderly ’ s Quality of Life : Results of a Qualitative Study. IJIM: International Journal of Interactive Mobile Technologies, 15(7), 154–175.
Jurkovič, V. (2019). Online informal learning of English through smartphones in Slovenia. System, 80, 27–37. https://doi.org/10.1016/j.system.2018.10.007
Kim, J. H., & Park, H. (2019). Effects of Smartphone-Based Mobile Learning in Nursing Education: A Systematic Review and Meta-analysis. Asian Nursing Research, 13(1), 20–29. https://doi.org/10.1016/j.anr.2019.01.005
Kinteki, R., Setyosari, P., Sumarmi, & Ulfa, S. (2019). The effect of flipped classroom models and self efficacy on students concept understanding and application of the hydrology. Ecology, Environment and Conservation Paper, 25(4), 115–121.
Mustapha, I., Van, N. T., Shahverdi, M., Qureshi, M. I., & Khan, N. (2021). Effectiveness of Digital Technology in Education During. IJIM: International Journal of Interactive Mobile Technologies, 15(8), 136–154.
Nelson, K., Courier, M., & Joseph, G. (2011). Teaching Tip: An Investigation of Digital Literacy Needs of Students. Journal of Information Systems Education, 22(2), 95–109.
Newton, L. D., & Newton, D. P. (2014). Creativity in a 21st century education. Durham Research Online, 44(4), 575–589. https://doi.org/10.1007/s11125-014-9322-1
Ouma, G., Awuor, F., & Kyambo, B. (2013). E-Learning Readiness in Public Secondary Schools in Kenya. European Journal of Open, Distance and e-Learning, 16(2), 97–110.
Pauli, P., Koch, A., & Allgöwer, F. (2020a). Smartphone apps for learning progress and course revision. IFAC-PapersOnLine, 53(2), 17368–17373. https://doi.org/10.1016/j.ifacol.2020.12.2088
Pauli, P., Koch, A., & Allgöwer, F. (2020b). Smartphone Apps for Learning Progress and Course Revision. IFAC-PapersOnLine, 53(2), 17368–17373. https://doi.org/10.1016/j.ifacol.2020.12.2088
Punithavathi, P., & Geetha, S. (2020). Disruptive smart mobile pedagogies for engineering education. Procedia Computer Science, 172(2019), 784–790. https://doi.org/10.1016/j.procs.2020.05.112
Salehudin, M., Zulherman, Arifin, A., & Napitupulu, D. (2021). Extending Indonesia Government Policy for E-Learning and Social Media Usage. Pegem Journal of Education and Instruction, 11(2), 14–26. https://doi.org/10.14527/pegegog.2021.00
Shin, D. H., Shin, Y. J., Choo, H., & Beom, K. (2011). Smartphones as smart pedagogical tools: Implications for smartphones as u-learning devices. Computers in Human Behavior, 27(6), 2207–2214. https://doi.org/10.1016/j.chb.2011.06.017
Sunday, O. J., Adesope, O. O., & Maarhuis, P. L. (2021). The effects of smartphone addiction on learning : A meta-analysis. Computers in Human Behavior Reports, 4, 1–9. https://doi.org/10.1016/j.chbr.2021.100114
Syaiful, S., Mukminin, A., Habibi, A., Marzulina, L., Astrid, A., & Tersta, F. W. (2019). Learning in the digital era: Science education students’ perception on the snss use in the context of english for specific course. Elementary Education Online, 18(3), 1069–1080. https://doi.org/10.17051/ilkonline.2019.610143
Tehseen, S., Sajilan, S., Gadar, K., & Ramayah, T. (2017). Assessing Cultural Orientation as a Reflective-Formative Second Order Construct-A Recent PLS-SEM Approach. Review of Integrative Business and Economics Research, 6(2), 38.
Tekin, P. Ş., Ilgaz, H., Adanır, G. A., Yıldırım, D., & Gülbahar, Y. (2020). Flipping e-learning for teaching medical terminology: A study of learners’ online experiences and perceptions. Online Learning Journal, 24(2), 76–93. https://doi.org/10.24059/olj.v24i2.2030
Ulfa, S., & Fatawi, I. (2020). Predicting Factors That Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment. International Journal of Emerging Technologies in Learning, 16(1), 4–17. https://doi.org/10.3991/IJET.V16I01.16325
Yang, K. C., & Shih, P. H. (2020). Cognitive age in technology acceptance: At what age are people ready to adopt and continuously use fashionable products? Telematics and Informatics, 51(August 2019), 101400. https://doi.org/10.1016/j.tele.2020.101400
Yeh, Y., Chang, C.-Y., Ting, Y.-S., & Chen, S.-Y. (2020). Effects of mindful learning using a smartphone lens in everyday life and beliefs toward mobile-based learning on creativity enhancement. Journal of Educational Technology & Society, 23(4), 45–58.
Zipparo, S., Robinson, C., & Hazeldene, R. (2015). Using Mobile Technology in an Early Childhood Setting. In Yu (Aimee) Zhang (Ed.), Handbook of Mobile Teaching and Learning (p. 666). Springer Reference.
Zulherman, Nuryana, Z., Pangarso, A., & Zain, F. M. (2021). Factor of zoom cloud meetings: Technology adoption in the pandemic of COVID-19. International Journal of Evaluation and Research in Education, 10(3), 816–825. https://doi.org/10.11591/ijere.v10i3.21726
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