Identifying Mobile Phone Educational Capabilities for Graduate Students

Document Type : Research Paper

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Abstract

:   With regard to the recent widespread application of cellphone technologies in the pursuit of educational, the present study aims to explore the educational capabilities of cellphones for this purpose through a descriptive survey method. The statistical population includes all graduate students of Kharazmi University (4770 students). From this population, 351 subjects are selected by simple random sampling method and based on Morgan and Krejsi sample size. The research instrument is a researcher-made questionnaire and the validity is confirmed by of 8 scholars in the field of education and media sciences. The reliability of 0.93 is calculated by Cronbach's alpha coefficient. To analyze the obtained data, descriptive and inferential statistics are employed in the form of two factor analysis of variance analysis and two independent samples t-test in SPSS software version 21. The findings indicate that the students use cellphones especially in searching information, teaching imaging, language learning, classroom activities, educational software, and sharing learning data with classmates. Furthermore, the students believe that cellphones could facilitate the interactions among students and professors, save time and provide easy access to textbooks. But at the same time, they report negative consequences such as the violation of the individuals’ privacy, the tension in the public mind, the lack of concentration and engagement in non-educational issues. In addition, there is no significant difference between the cross-sectional effects of the field of study and the use of training applications by cellphones. Also, the findings show that female students are more likely to use educational capabilities of cellphones than male students. In the end, the findings are discussed and implications were presented.

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References

-  Al-Adwan, Ahmad Samed; Al-Madadha, Amr & Zvirzdinaite, Zahra. (2018). Modeling Students’ Readiness to Adopt Mobile Learning in Higher Education: An Empirical Study, International Review of Research in Open and Distributed Learning. 19(1): 221-241.
-Attewell, J. (2005). Mobile technologies and learning: A technology update and mlearning project summary. London: Learning and Skills Development Agency, 1- 25. Retrieved from http://www.m-learning.org/docs/The%20m-learning%20 project %20-%20technology%20update%20and%20project%20 summary.pdf
-  Chang, Jui-Hung; Chiu, Po-Sheng; Huang, Yueh-Min. (2018).  A Sharing Mind Map-oriented Approach to Enhance Collaborative Mobile Learning with Digital Archiving Systems.  International Review of Research in Open and Distributed Learning, 19(1): 1-24.
-   Frohberg, D. (2006). Mobile learning is coming of age - What we have and what we still miss. DeLFI, 4.e-Learning Fachtagung Informatics, 87, 327-338. Retrieved from http://www.bibsonomy.org/bibtex/1c11ee1b3881a73f4382ab 792ce75b513/dblp.
-Georgiev, T., Georgieva, E., & Smrikarov, A. (2004). M-Learning: A new stage of E Learning. In Proceedings of the 5th international conference on Computer systems and technologies. 8(3): 1-5.
-  Hulme, A., & Traxler, J. (2011). Mobile learning and teaching: A handbook for educators and trainers. Retrieved from http://www.irrodl.org/index.php/irrodl
- Jaschik, S. (2010). Educause constituent groups online and face to face discussions on topics of interest. Retrieved from http://www.educause.edu.
- Joinson, A, N. (2003). Underatanding the psychology of internet behavior, virtual worhds, real lives. Londan; Palgrave Macmillan.
- Kumar, B.F. (2007). The international review of research in open distance learning, India, Open University. Retriewed from: www.irrodl.org.
- Lai, C. H., Yang, J. C., Chen, F. C., Ho, Chant, T. W. (2007). Affordances of Mobile Technologies for Experiential Learning: The Interplay of Technology and Pedagogical Practices, Journal of Computer Assisted Learning. 23(4): 326-337.
-  Marzouki, Ouiame Filali; Idrissi, Mohammed Khalidi; Bennani, Samir. (2017). Effects of Social Constructivist Mobile Learning Environments on Knowledge Acquisition: A Meta-Analysis. IJIM. 11(1): 18-39. Available at: https://doi.org/10.3991/ijim.v11i1.5982.
-Pretson, K. E., Walhart, T. A., & O'Sullivan, A. L. (2011). Prompting Healthy Behavior via Text Messaging in Adolescents and Young Adults. American Journal of lifestyle medicine, 14(5): 247-252.
-  SÖNMEZ, Abdulvahap; GÖÇMEZ, Lütfiye; UYGUN, Derya; ATAÝZÝ, Murat. (2018). A Review of Current Studies of Mobile Learning. Journal of Educational Technology & Online Learning. 1(1): 13-27.
-Streicher, P. (2010). SMS messaging gets to work. Retrieved from BulkSMS.com.
-  Wang, L. (2009). Effectiveness of text-based mobile learning applications: Case studies in tertiary education. Unpublished master's thesis, University of Massey.
-  Yang, S. (2013). Understanding undergraduate students’ adoption of mobile learning model: a perspective of extended UTAUT2. Journal of Convergence Information Technology, 8(10): 969-979.
Journal of higher education curriculum studies
Volume 9, Issue 18 - Serial Number 2
February 2019
Pages 135-158

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