Designing and Validating a Mobile learning-based curriculum with Emphasis on the Acer Model in Higher Education

Document Type : Research Paper

Authors

PNU

Abstract

The aim of the study was to design and validate a Mobile learning-based curriculum with an emphasis on the Acre model in higher education. Therefore, the research was mixed (quantitative-qualitative). For this purpose, in the research synthesis section, the resources available in dissertations, libraries, research projects and articles available in domestic and foreign databases were used to study the research background and collect data commensurate with the research goal. The keywords used for the search included mobile learning, mobile-based curriculum, distance learning, virtual learning, web-based learning, online learning, and the Acre pattern in higher education. The process of reviewing articles and documents, respectively; A total of 48 keyword-related studies examined the deletion of unrelated articles after reviewing 9 items, so 39 documents were reviewed in this study. In the second part, the data were collected through semi-structured interviews using note-taking. In the quantitative (survey) section for accreditation, questionnaires were distributed among 267 people using the targeted sampling method. After collecting the data, the findings and results of the research were extracted and analyzed separately. Based on this, the results show that 10 components and 102 indicators for the logic component and why 14 indicators, goals of 8 indicators, content and organization of 14 indicators, learning activities of 9 indicators, teacher role 15 indicators, materials and resources 15 indicators, group Classification of 7 indicators, location of 6 indicators, time of 4 indicators and assessment and evaluation of 10 indicators were extracted. In the last step, using the structural equation modeling model, validation of the Mobile learning-based curriculum with emphasis on the Acre pattern in higher education, the results indicate that the model fits.

Keywords


Acker van, R, de Bourdeaudhuij, I, de Martelaer, K, Seghers, J, Kirk, D, Haerens, L. Cardon, G. A. (2011). Framework for physical activity programs within school–community partnerships. Quest, 63, 300–320.
Alley, B. (2009). Going nomadic: Mobile learning in higher education. EDUCAUSE Review, 39(5), 29-35. Retrieved November 22, 2009, from http://www.educause.edu/ir/library/pdf/ermo45.pdf
Aviram. M. (2000). Beyond Constructivism: Autonomy-Oriented Education, Studies in Philosophy and Education, Vol, 19, Pq465-489.
Baya, N.’a & Daher, W. (2019). Students' Perception of mathematicslearninUsing Mobile Phones. Paper presented at: 4th.
Eisner, E.W. (2005).The Educational Imagination on the Design and Evaluation. New York: Macmillan college publishing company.
El –Gazzar, R .F., Ba'alawy, O., & kholig F, M .(2017) .Agent – bace mobile event notification system . International. Journal of interactive mobile Technologies. 4(4), 24-30.
Geddes, S. J. (2004). Mobile learning in the 21st century: Benefit for learners. Knowledge Tree e-journal: A journal of flexible learning in VET, 30(3), 214 -28l.
Guidera, S. (2003). College teaching in the virtual classroom: Faculty perceptions of the effectiveness of online instruction. Retrieved from. http://proquest. Umi.com.
Jones, R. (2018). Physical ergonomic and mental workload factors ofmobilelearning affecting performance of adult distance learners:Studentperspective. Doctoral Dissertation.
Kambourakis, G., Kontoni, D.-P., & Sapounas, I. (2014). Introducing attribute certificates to secure distributed e-learning or m-learning services. Proceedings of the IASTED International Conference. February 16-18, Innsbruck, Austria.
Kase, W. (2010). A blended Learning supported with web 2.0 technologies, Procedia Social and Behavioral Sciences, Vol 2, pp: 2794-2802.
Khan, B, H. (2017). People, process and product continuum in e-learning p3 model. Educ Technol, 44; 33-40.
Korucu, A.T., Alkan A. (2011). Differences between m-learning (mobile learning) and elearning; basic terminology and usage of m-learning in education. Procedia Social and Behavioral Sciences 15, 1925-1930. Available online at www.sciencedirect.com.
Liawa SS, Hatalab M, Huang HM. (2018). Investigating acceptance toward mobile learning to assist in dividual knowledge management: based on activity theory approach. Computers & Education, 54(2):446-454.
Lim, C.P & Dennen, V.P. (2018). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. Social Sciences Education E-learning, 21(2)43-56.
Lunenberg, M. F& Korthagen, A. J. (2003). Teacher Education and Student-Directed learning, Teaching and Teacher Education, Vol19. PQ29-44.
Ornesten AC, Hunkins FP. (2008). Curriculum foundation principles and issue. (5th ed). A viacom company, United State of America.
Qu, Y., Wang, C., Liu, F. & Zhang, X. (2008). Blended Learning applying in university Education, Paper presented at International Conference on Hybrid Learning Committee, Hong Kong.
Quinn, C. (2000). MLearning: Mobile, wireless, in-your-pocket learning. Line Zine, fall. Retrieved July 2012 from http://linezine.com/2.1/features/cqmmwiyp.htm.
Santrock, G. w. (2004). Educational Psychology (2nd ­ed). New York: McGraw-Hill.
Swan, K. (20012). A constructivist model for thinking about learning online. In J. Bourne & J. C. Moore (Eds), Elements of quality online education: Engaging Communities. Needham, MA: Slian.C.
Wentworth، R. J. & Popham، A. (2005). Changing learning environments with mobile echnology. Inc. Crawford (Eds.). Proceedings of society for information twachnology & teacher education international conference،Chesapeake, VA: AACE 1071-1076.
Williams, K. J., Lee, K. E., Hartig, T., Sargent, L. D., Williams, N. S., & Johnson, K. A. (2019). Conceptualising creativity benefits of nature experience: Attention restoration and mind wandering as complementary processes. Journal of Environmental Psychology. 59, 36-45.