Investigating the Application of Technology Acceptance Model in Smart Schools

Document Type : Original Article

Authors

1 Department of Educational Management , Faculty of Psychology and Educational Sciences, University of Allameh Tabataba’i, Tehran, Iran

2 Department of Educational Management , Faculty Of Management and Accounting , Farabi Campus - University of Tehran ,Tehran, Iran

3 Department of Management and Educational Planning , Faculty of Psychology and Educational Sciences, Ferdowsi University of Mashhad ,Mashhad, Iran

Abstract

Background: The rapid growth of information and communication technology has brought about substantial changes in educational practices and approaches. Education and training have received more attention in view of technological developments and emerging requirements. The aim of this study was to investigate school principals’ application of Technology Acceptance Model (TAM) in smart schools of Qom, Iran. Methods: This was a descriptive-correlational study. The study population included all smart school principals in Qom in 2018. Purposeful sampling was applied to identify and select 70 principals as the participants of the study. Davis’ TAM questionnaire with a reliability coefficient of 0.78 was used for data collection. Descriptive statistics, including mean and standard deviation, were calculated for data analysis, and Pearson correlation coefficient was used in the inferential analysis. Results: Significant positive relationships were observed between perceived usefulness and attitude towards the use of technology (r=73, p <0.01), perceived usefulness and willingness to use technology (r=64, p <0.01), perceived ease of use and attitudes towards the use of technology (r=39, p <0.01), perceived ease of use and perceived usefulness of technology (r=43, p <0.01), and finally the tendency to use and actual use of technology (r=63, p <0.01). Conclusion: In order to improve the performance of smart schools, it is recommended to cultivate a positive and constructive attitude towards technology among principals and teachers in a dynamic way.

Keywords

References

Ibrahim MS, Razak AZ, Kenayathulla HB. Smart principals and smart schools. Procedia-Social and Behavioral Sciences. 2013 Nov 26;103:826-36. https://doi.org.10.1016.j.sbspro.2013.10.404
Chou CM, Shen CH, Hsiao HC, Shen TC. Factors influencing teachers’ innovative teaching behaviour with information and communication technology (ICT): the mediator role of organisational innovation climate. Educational Psychology. 2019 Jan 2;39(1):65-85. https://doi.org.10.1080.01443410.2018.1520201
Davis N, Loveless A. Reviewing the landscape of ICT and teacher education over 20 years and looking forward to the future. Technology, pedagogy and education. 2011 Oct 1;20(3):247-61.https://doi.org.10.1080.1475939X.2011.610928
de Freitas E, Rousell D, Jäger N. Relational architectures and wearable space: Smart schools and the politics of ubiquitous sensation. Research in Education. 2019 Sep 16:0034523719883667. https://doi.org.10.1177.0034523719883667
Taleb Z, Hassanzadeh F. Toward smart school: A comparison between smart school and traditional school for mathematics learning. Procedia-Social and Behavioral Sciences. 2015 Jan 16;171:90-5.https://doi.org.10.1016.j.sbspro.2015.01.093
Scherer R, Siddiq F, Tondeur J. The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education. 2019 Jan 1;128:13-35. https://doi.org.10.1016.j.compedu.2018.09.009
Scherer R, Teo T. Unpacking teachers’ intentions to integrate technology: A meta-analysis. Educational Research Review. 2019 Mar 9. https://doi.org.10.1016.j.edurev.2019.03.001
Seraji, F., Sarmadi Ansar, H., Asgari Motie', A. Determining Ongoing Obstacles of Smart School Development in Hamadan Province. Educational Psychology, 2015; 11(35): 159-180.
Lee Y, Kozar KA, Larsen KR. The technology acceptance model: Past, present, and future. Communications of the Association for information systems. 2003 Dec 29;12(1):50.
https://doi.org.10.17705.1CAIS.01250
Wu JH, Shen WS, Lin LM, Greenes RA, Bates DW. Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system. International Journal for Quality in Health Care. 2008 Apr 1;20(2):123-9.
https://doi.org.10.1093.intqhc.mzm074
PMid:18222963
Mohammadi F, Abrizah A, Nazari M, Attaran M. What motivates high school teachers to use web-based learning resources for classroom instruction? An exploratory case study in an Iranian smart school. Computers in Human Behavior. 2015 Oct 1;51:373-81.
https://doi.org.10.1016.j.chb.2015.05.016
Kilinc A, Ertmer P, Bahcivan E, Demirbag M, Sonmez A, Ozel R. Factors influencing Turkish preservice teachers’ intentions to use educational technologies and mediating role of risk perceptions. Journal of Technology and Teacher Education. 2016 Jan;24(1):37-62. https://learntechlib.org.primary.p.151720.
Salleh S. Examining the influence of teachers' beliefs towards technology integration in classroom. The International Journal of Information and Learning Technology. 2016 Jan 4.
https://doi.org.10.1108.IJILT-10-2015-0032
Jeon YJ. How to Improve the Construction and Layout of Smart Classrooms for Teaching English. International Journal of u-and e-Service, Science and Technology. 2016 Feb 28;9(2):41-8.https://doi.org.10.14257.ijunesst.2016.9.2.05
Voogt J, McKenney S. TPACK in teacher education: Are we preparing teachers to use technology for early literacy?. Technology, pedagogy and education. 2017 Jan 1;26(1):69-83. https://doi.org.10.1080.1475939X.2016.1174730
Durrani, Kamal, Rashidi, Zahra. Investigating the factors affecting the acceptance of information technology by the teachers of smart schools in Tehran with emphasis on the information technology acceptance model (ITAM). Journal of Research in Educational Systems, 2007; 1 (1): 23-46
Lule I, Omwansa TK, Waema TM. Application of technology acceptance model (TAM) in m-banking adoption in Kenya. International Journal of Computing & ICT Research. 2012 Jun 1;6(1).  http://www.ijcir.org/volume6-number1/article4.pdf
Interdisciplinary Journal of Virtual Learning in Medical Sciences
Volume 11, Issue 3
September 2020
Pages 162-169

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