Research Article
PDF Zotero Mendeley EndNote BibTex Cite

Year 2016, Volume 3, Issue 1, 22 - 29, 01.04.2016
https://doi.org/10.17275/per.16.01.3.1

Abstract

References

  • Campbell, S.W. (2007). A cross-cultural comparison of perceptions and uses of mobile telephony, New Medoa Society, Vol. 9 No. 2, pp. 343-63.
  • Cochrane, T. (2010). Mobile web 2.0: Bridging learning contexts. In S. Caballé, F. Xhafa, T. Daradoumis, & A. A. Juan, Architectures for distributed and complex m-learning systems: Applying intelligent technologies (s. 123-151). UAS: Information Science Reference.
  • Çakır, H. (2011). A software development and evaluation of mobile learning. Cukurova University Faculty of Education Journal. 40, 01-09.
  • Demirci, K., Orhan, H., Demirdas, A., Akpınar, A., & Sert, H. (2014). Validity and reliability of the turkish version of the smartphone addiction scale in a younger population. Bulletin of Clinical Psychopharmacology, 24(3), 226-34.
  • DSM-IV-TR (2005). Handbook of Diagnostic Criteria Reference Manual. (Translation: Ertuğrul Köroğlu). Ankara: Hekimler Publishing.
  • Hjorthol, R. J. (2008). The mobile phone as a tool in family life: impact on planning of everyday activities and car use, Transport Review, Vol. 28, No. 3, pp. 303-20.
  • Kim, S. H. (2008). Moderating effects of job relevance and experience on mobile wireless technology acceptance: adoption of a smartphone by individuals, Information and Management, Vol. 45, pp. 387-93.
  • Korkmaz, Ö. (2015). New Trends on Mobile Learning in The Light of Recent Studies, Participatory Educational Research (PER) Vol. 2(1), pp. 1-10.
  • Oran, M. K. and Karadeniz, Ş. (2007). The role of mobile learning role in intenet based distance education. Available at: http://ab.org.tr/ab07/bildiri/66.pdf.
  • Park, Y. and Chen, J.V. (2007). Acceptance and adoption of the innovative use of smartphone, Industrial Management and Data, Vol. 107 No. 9, pp. 1349-65.
  • Quinn, C. N. (2000). mLearning: Mobile, wireless, in-your-pocket learning. http://www.linezine.com/2.1/features/cqmmwiyp.htm.
  • Saran, M., Seferoğlu, G., & Çağıltay, K. (2009). Mobile assisted language learning: English pronunciation at learners’ fingertips. Eurasian Journal of Educational Research, 34, 97-114.
  • Sharples, M., Taylor, J., & Vavoula, G. (2005). Towards a Theory of Mobile Learning. In Proceedings of m-learn Conference, Cape Town: 2005, South Africa.
  • Taner, N. (2013). User reviews of Smart Phones: An Application in the city center of Kastamonu, Business & Management Studies: An International Journal, 1(2).
  • Wilson, S. and McCarthy, G. (2010). The mobile university: from library to the campus, Reference Services Review, Vol. 38 No. 2, pp. 1-39.

The Analysis of New Generation Mobile Device Dependencies of Students in Faculty of Education

Year 2016, Volume 3, Issue 1, 22 - 29, 01.04.2016
https://doi.org/10.17275/per.16.01.3.1

Abstract

The development of technology brought about some advantages as well as particular disadvantages. Smart phones which are new generation mobile devices are technological tools for meeting certain needs such as entertainment, social media, realization of daily routines and usage for educational purposes. The facts that new generation mobile devices can realize many transactions and provide solutions for individuals’ needs immediately, arise the continuous interaction of individuals with mobile devices and thus, technological dependency. It is important to determine the usage of mobile technology by instructors who own a particular role in ICT integration process. The habitudes which instructors gained before their professional lives affect their careers. Therefore it is important to determine their usage of new generation mobile technologies in order to earn them the correct habitudes. The aim of this study is to determine the prospective instructors’ usages of smart phones who receive education in different branches of faculty of education in terms of various variables. Research group consists of 217 prospective instructors who are studying in different branches at Necmettin Erbakan University, Ahmet Keleşoğlu Faculty of Education. As data collection tool of the study; “personal information form” and "Smart Phone Dependency Scale" developed by Demirci and friends (2014) are created. The scale is 6-point Likert-type scale. It consists of 33 items. The Cronbach alfa (α) internal consistency coefficient of Smart Phone Dependency Scale is found 0.947. SPSS package program is used in order to analyze the data collected by data collection tools. Descriptive statistics, t-test for independent samples and analysis of variance are used for the analysis of data.

References

  • Campbell, S.W. (2007). A cross-cultural comparison of perceptions and uses of mobile telephony, New Medoa Society, Vol. 9 No. 2, pp. 343-63.
  • Cochrane, T. (2010). Mobile web 2.0: Bridging learning contexts. In S. Caballé, F. Xhafa, T. Daradoumis, & A. A. Juan, Architectures for distributed and complex m-learning systems: Applying intelligent technologies (s. 123-151). UAS: Information Science Reference.
  • Çakır, H. (2011). A software development and evaluation of mobile learning. Cukurova University Faculty of Education Journal. 40, 01-09.
  • Demirci, K., Orhan, H., Demirdas, A., Akpınar, A., & Sert, H. (2014). Validity and reliability of the turkish version of the smartphone addiction scale in a younger population. Bulletin of Clinical Psychopharmacology, 24(3), 226-34.
  • DSM-IV-TR (2005). Handbook of Diagnostic Criteria Reference Manual. (Translation: Ertuğrul Köroğlu). Ankara: Hekimler Publishing.
  • Hjorthol, R. J. (2008). The mobile phone as a tool in family life: impact on planning of everyday activities and car use, Transport Review, Vol. 28, No. 3, pp. 303-20.
  • Kim, S. H. (2008). Moderating effects of job relevance and experience on mobile wireless technology acceptance: adoption of a smartphone by individuals, Information and Management, Vol. 45, pp. 387-93.
  • Korkmaz, Ö. (2015). New Trends on Mobile Learning in The Light of Recent Studies, Participatory Educational Research (PER) Vol. 2(1), pp. 1-10.
  • Oran, M. K. and Karadeniz, Ş. (2007). The role of mobile learning role in intenet based distance education. Available at: http://ab.org.tr/ab07/bildiri/66.pdf.
  • Park, Y. and Chen, J.V. (2007). Acceptance and adoption of the innovative use of smartphone, Industrial Management and Data, Vol. 107 No. 9, pp. 1349-65.
  • Quinn, C. N. (2000). mLearning: Mobile, wireless, in-your-pocket learning. http://www.linezine.com/2.1/features/cqmmwiyp.htm.
  • Saran, M., Seferoğlu, G., & Çağıltay, K. (2009). Mobile assisted language learning: English pronunciation at learners’ fingertips. Eurasian Journal of Educational Research, 34, 97-114.
  • Sharples, M., Taylor, J., & Vavoula, G. (2005). Towards a Theory of Mobile Learning. In Proceedings of m-learn Conference, Cape Town: 2005, South Africa.
  • Taner, N. (2013). User reviews of Smart Phones: An Application in the city center of Kastamonu, Business & Management Studies: An International Journal, 1(2).
  • Wilson, S. and McCarthy, G. (2010). The mobile university: from library to the campus, Reference Services Review, Vol. 38 No. 2, pp. 1-39.

Details

Primary Language English
Subjects Education, Scientific Disciplines
Journal Section Research Articles
Authors

Agâh Tuğrul KORUCU (Primary Author)


Ertuğrul USTA
0000-0001-6112-9965

Publication Date April 1, 2016
Published in Issue Year 2016, Volume 3, Issue 1

Cite

APA Korucu, A. T. & Usta, E. (2016). The Analysis of New Generation Mobile Device Dependencies of Students in Faculty of Education . Participatory Educational Research , 3 (1) , 22-29 . DOI: 10.17275/per.16.01.3.1