The Effect of Internet of Things (IoT) Towards Social Sciences Student’s Performance

  • Authors

    • Farahwahida Mohd
    • Norsila Shamsuddin
    • Puzziawati Ab. Ghani
    2018-11-26
    https://doi.org/10.14419/ijet.v7i4.29.26256
  • IoT, Internet of Things, performance
  • This study is to evaluate the effect of IoT towards social sciences student’s class performance. This is to measure whether IoT contribute to their performance or not. It is found that e-learning modules are most preferred by the students as compared to blended learning and conventional face-to-face learning environment. E learning was ranked as number 1 most prefer method followed by blended learning and the least preferred is the conventional method that is face-to-face classroom environment. Furthermore, competency in using IT devices such as smart phones, tablet, wi-fi dongle and etc is an advantage in this new era of technology and very significant towards the students’ performance (p-value = 0.000). Followed by awareness of the usage of IoT (p-value = 0.011), importance of the devices in contributing good performance (p-value = 0.015) and finally yet importantly usefulness of IoT have significant effect towards performance. All variables are significant at 5% level of significant. Therefore, we can conclude that IoT does give significant effect towards these Social Sciences Students’ performance in all of their activities in the university.

     

     
  • References

    1. [1] B.P. Woolf, Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing E-Learning, Morgan Kaufmann, 2010.

      [2] D.C. Frezzo, J.T. Behrens, R.J. Mislevy, Design patterns for learning and assessment: facilitating the introduction of a complex simulation-based learning environment into a community of instructors, J. Sci. Educ. Technol. 19 (2) (2009) 105–114.

      [3] F. Terroso-Saenz, et al., An open IoT platform for the management and analysis of energy data, Future Generation Computer Systems (2017), http://dx.doi.org/10.1016/j.future.2017.08.046.

      [4] F. Al-Turjman, 5G-enabled devices and smart-spaces in social-IoT: An overview, Future Generation Computer Systems (2017),https://doi.org/10.1016/j.future.2017.11.035.

      [5] I.D. Beatty, W.J. Gerace, Technology-enhanced formative assessment: A research-based pedagogy for teaching science with classroom response technology,J. Sci. Educ. Technol. 18 (2) (2009) 146–162.

      [6] J. Flynn, The effect of mobile phone attachment on an attention task among secondary school and college students, Bachelors Final Year Project, Dublin Business School, 2014.

      [7] M.K. Tallent-Runnels, et al., Teaching courses online: A review of the research, Rev. Educ. Res. 76 (1) (2006) 93–135.

      [8] M. Domingues, A. Radwan, Optical Fiber Sensors for loT and Smart Devices, in: Springer Briefs in Electrical and Computer Engineering, March 2017, http: //dx.doi.org/10.1007/978-3-319-47349-9.

      [9] S.R. Hall, A.W. Jeffries, S.E. Avis, D.D.N. Bevan, Performance of open access fem to cells in 4G macro cellular networks, in: The Wireless World Research Forum 20, WWRF 20, Ottawa, Canada, 2008.

      [10] S. Alkhalaf, et al., E-learning system on higher education institutions in KSA: attitudes and perceptions of faculty members. Procedia Soc. Behav. Sci. 47 (2012) 1199–1205.

  • Downloads

  • How to Cite

    Mohd, F., Shamsuddin, N., & Ab. Ghani, P. (2018). The Effect of Internet of Things (IoT) Towards Social Sciences Student’s Performance. International Journal of Engineering & Technology, 7(4.29), 216-218. https://doi.org/10.14419/ijet.v7i4.29.26256