Skip to main content
Log in

Social media networks and pedagogy at the University of Jordan

  • Published:
Education and Information Technologies Aims and scope Submit manuscript

A Correction to this article was published on 09 August 2018

This article has been updated

Abstract

This study examined impact of a social media networks course on student use of SNSs performance. Moreover, it examined the associations among course design, course materials, learning experiences and a social media networks course. Survey instrument is used to examine the relationships in the proposed model. A total of 380 questionnaires have been collected from students at the University of Jordan who studied the social media networks course. A structural equation modelling approach based on AMOS 20.0 statistical software is used to study the causal relationships and test the hypotheses between the observed and latent constructs in the proposed research model. The analysis results revealed that course materials and learning experiences directly, positively and significantly impacted the social media networks course, which in turn had a significant impact on students’ use social networks sites performance. Course design, however, did not impact the social media networks course. Our findings have important implications as we demonstrated the validity of the joint two different models and provide information about impact of studying social media networks course on students’ academic performance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

Change history

  • 09 August 2018

    The authors would like to note that one of the co-author’s names was displayed incorrectly. Not Nabil Al-Qirim, but Nabeel Al-Qirim co-authored this article as shown above. The original article has been corrected.

References

  • Adam, M.H. & Nor Zairah, A.R. (2011). The influence of social networking sites on students’ academic performance in Malaysia. Proceeding paper at International conference on Internet studies: Sept.8–10, Kuala Lumpur, Malaysia.

  • Akyıldız, M., & Argan, M., (2011). Using online social networking: Students’ purposes of Facebook usage at the University of Turkey. Academic and Business Research Institute International Conference International Conference-Las Vegas.

  • Arbuckle, J. (2009). Amos 18 user's guide. SPSS incorporated.

  • Asterhan, C., & Rosenberg, H. (2015). The promise, reality and dilemmas of secondary school teacher student interactions in Facebook: The teacher perspective. Computers & Education, 85, 134–148.

    Article  Google Scholar 

  • Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural evaluation models. Journal of the Academy of Marketing Science, 16(1), 74–94.

    Article  Google Scholar 

  • Bawaneh, S. (2011). Does using computer technology improve students' performance? Evidence from a management accounting course. International Journal of Business and Social Science, 2(10), 266–274.

    Google Scholar 

  • Blumberg, B., Cooper, D. R., & Schindler, P. S. (2005). Business research methods. Maidenhead. UK: McGraw-Hill.

    Google Scholar 

  • Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer Mediated Communication, 13, 210–230.

    Article  Google Scholar 

  • Byrne, B. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, New Jersey London: Lawrence Erlbaum Associates.

    Google Scholar 

  • Chaturvedi, R., & Ezeife, C. I. (2013). Mining the impact of course assignments on student performance. EDM, 2013, 308–309.

  • Chou, T., Chang, P., Cheng, Y., & Tasi, C. (2007). A path model linking organizational knowledge attributes, information processing capabilities, and perceived usability. Information Management, 44, 408–417.

    Article  Google Scholar 

  • Creswell, J. (2009). Research design: Qualitative, quantitative, and mixed methods approaches. 3rd Edn. Thousand Oaks: Sage Publications.

    Google Scholar 

  • DeAndrea, D. C., Ellison, N. B., LaRose, R., Steinfield, C., & Fiore, A. (2012). Serious social media: On the use of social media for improving students' adjustment to college. The Internet and Higher Education, 15(1), 15–23. https://doi.org/10.1016/j.iheduc.2011.05.009.

    Article  Google Scholar 

  • Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer Mediated Communication, 13(1), 210–230.

    Article  MathSciNet  Google Scholar 

  • Fronell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.

    Article  Google Scholar 

  • Gefen, D., Straub, D. W., and Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice.

    Google Scholar 

  • Hair, J., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis (5th ed.). New Jersey: Prentice-Hall International Inc..

    Google Scholar 

  • Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2010). Multivariate data analysis. New Jersey: Prentice-Hall.

    Google Scholar 

  • Holland, R., Muziki, S., & Hartman, A. F. (2012). Designing and implementing training programs, book chapter from book: Management sciences for health, MDS-3: Managing access to medicine and health technologies. Arlington: Management sciences for health.

    Google Scholar 

  • Holmes-Smith, P. (2001). Introduction to structural equation modeling using LISREL. Perth: ACSPRI Winter Training Program.

    Google Scholar 

  • Johnson, L. W., & Renner, J. D. (2012). Effect of the flipped classroom model on a secondary computer applications course: Student and teacher perceptions, questions and student achievement. A Doctoral Dissertation Submitted to the Faculty of the College of Education and Human Development of the University of Louisville. Retrieved November 2, 2016, from http://theflippedclassroom.files.wordpress.com/2012/04/johnson-renner-2012.pdf.

  • Junco, R. (2015). Student class standing, Facebook use, and academic performance. Journal of Applied Developmental Psychology, 36, 18–29.

    Article  Google Scholar 

  • Karpinski, A. C., Kirschner, P. A., Ozer, I., Mellott, J. A., & Ochwo, P. (2013). An exploration of social networking site use, multitasking, and academic performance among United States and European university students. Computers in Human Behavior, 29(3), 1182–1192. https://doi.org/10.1016/j.chb.2012.10.011.

    Article  Google Scholar 

  • Khan, R. A. G., Khan, F. A., & Khan, M. A. (2011). Impact of training and development on organizational performance. Global Journal of Management and Business Research., 11(7), 63–68.

    Google Scholar 

  • Kline, R. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: The Guilford Press.

    MATH  Google Scholar 

  • Kline, R. (2010). Principles and practice of structural equation modeling. The Guilford Press.

  • Krejcie, R., & Morgan, D. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607–610.

    Article  Google Scholar 

  • Kupczynski, L., Ice, P., Wiesenmayer, R., & McCluskey, F. (2010). Student perceptions of the relationship between indicators of teaching presence and success in online courses. Journal of Interactive Online Learning, 9(1), 23–43.

    Google Scholar 

  • Lowerison, G., Sclater, J., Schmid, R. F., & Abrami, P. C. (2006). Student perceived effectiveness of computer technology use in post-secondary classrooms. Computers & Education, 47(4), 465–489, ISSN 0360-1315. https://doi.org/10.1016/j.compedu.2004.10.014.

    Article  Google Scholar 

  • Maqableh, M., Rajab, L., Quteshat, W., Masa'deh, R., Khatib, T., & Karajeh, H. (2015). The impact of social media networks websites usage on Students' academic performance. Communications and Network, 7, 159–171.

    Article  Google Scholar 

  • Michikyan, M., Subrahmanyam, K., & Dennis, J. (2015). Facebook use and academic performance among college students: A mixed-methods study with a multi-ethnic sample. Computers in Human Behavior, 45, 265–272. https://doi.org/10.1016/j.chb.2014.12.033.

    Article  Google Scholar 

  • Newkirk, H., & Lederer, A. (2006). The effectiveness of strategic information systems planning under environmental uncertainty. Information Management, 43, 481–501.

    Article  Google Scholar 

  • Noeth, R. J., & Volkov, B. B. (2004). Evaluating the effectiveness of technology in our schools. ACT Policy Report. American College Testing ACT Inc..

  • Pallant, J. (2005). SPSS survival manual: A step guide to data analysis using SPSS for windows version 12. Chicago, Illinois: Open University Press.

    Google Scholar 

  • Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009). College students' social networking experiences on facebook. Journal of Applied Developmental Psychology, 30(3), 227–238. https://doi.org/10.1016/j.appdev.2008.12.010.

    Article  Google Scholar 

  • Sekaran, U. (2003). Research methods for business: A skill-building approach (4th ed.). Inc: John Wiley and Sons.

    Google Scholar 

  • Sekaran, U., & Bougie, R. (2013). Research methods for business: A skill-building approach (6th ed.). Inc: John Wiley and Sons.

    Google Scholar 

  • Srivastava, P. (2012). Social networking & its impact on education-system in contemporary era. International Journal of Information Technology, 1(2).

  • Statista. (2015). Facebook: monthly active users 2015 | Statistic. Retrieved from: http://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/. Accessed 10 December 2015.

  • Tess, P. A. (2013). The role of social media in higher education classes (real and virtual) – A literature review. Computers in Human Behavior, 29, A60–A68.

    Article  Google Scholar 

  • The University of Jordan. (2015). www.ju.edu.jo; Retrieved from: http://www.ju.edu.jo/Pages/FactsAndFigures.aspx.

  • Zhong, B., Hardin, M., & Sun, T. (2011). Less effortful thinking leads to more social networking? The associations between the use of social network sites and personality traits. Computers in Human Behavior, 27(3), 1265–1271.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nabeel Al-Qirim.

Additional information

The original version of this article was revised: The authors would like to note that one of the co-author’s names was displayed incorrectly. Not Nabil Al-Qirim, but Nabeel Al-Qirim co-authored this article as shown above.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karajeh, H., Maqableh, M., Rajab, L. et al. Social media networks and pedagogy at the University of Jordan. Educ Inf Technol 23, 2073–2090 (2018). https://doi.org/10.1007/s10639-018-9704-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10639-018-9704-8

Keywords

Navigation