Journal of Social Sciences and Humanities
Articles Information
Journal of Social Sciences and Humanities, Vol.5, No.4, Dec. 2019, Pub. Date: Dec. 11, 2019
Factors Influencing Utilization of ICT Among Pre-service Teachers: A Review of the Literature
Pages: 420-427 Views: 133 Downloads: 89
[01] Hassan Mirzajani, Faculty of Educational Studies, University Putra Malaysia, Kuala Lumpur, Malaysia.
[02] Mehraneh Delaviz Bayekolaei, Faculty of Education, University Malaya, Kuala Lumpur, Malaysia.
Global investment in information and communications technology (ICT) to improve teaching and learning in schools have been initiated by many governments. Investigation in the past decade revealed that ICT are effective resources for spreading educational opportunities. Many governments in the world have invested in ICT for improving teaching and learning in schools. Despite the huge investment of financial and human resources, communications building and innovations to facilitate ICT use in schools, the use of educational technology has been limited. This article is based on a review of journal articles that focused on pre-service teachers’ utilization of ICT for academic activities. There were at least 61 articles reviewed. Of 61 articles 23 were on factors influencing pre-service teachers’ utilization of ICT in their classrooms. The articles were empirical and meta-analysis reviews on the factors affecting utilization of ICT among pre-service teachers. The following study investigated the influence of relative advantage, complexity, compatibility, perceived ease of use, perceived usefulness, effort expectancy and performance expectancy of an innovation, on encouraging pre-service teachers’ use of ICT in the classrooms. Comparison and analysis factors influencing pre-service teachers’ utilization of ICT in their classrooms indicated that perceived usefulness, perceived ease of use of technology, and user’s attitude to be significant in decisions and intentions to use ICT in the classroom.
ICT Utilization, Pre-service Teachers, Perception
[01] Hernandez, B., Montaner, T., Sese, F. J., and Urquizu, P. (2011). The role of social motivations in e-learning: How do they affect Utilization and success of ICT interactive tools? Computers in Human Behavior, 27 (6), 2224-2232.
[02] Biasutti, M., El-Deghaidy, H. (2012). Using Wiki in teacher education: Impact on knowledge management processes and student satisfaction. Computers and Education, 59 (3), 861-872.
[03] Baleghi-Zadeh, S., Ayub, A. F. M., Mahmud, R., & Daud, S. M. (2014). Behavior Intention to Use of Learning Management System among Malaysian Pre-Service Teachers: A Confirmatory Factor Analysis. International Journal of Education and Literacy Studies, 2 (1), 29-39.
[04] Coates, H., James, R., and Baldwin, G. (2005). A critical examination of the effects of learning management systems on university teaching and learning. Tertiary Education and Management, 11 (1), 19-36.
[05] Chen, R. J. (2010). Investigating models for pre-service teachers’ use of technology to support student-centered learning. Computers and Education, 55 (1), 32-42.
[06] Fook, Y., Sidhu, G. K., Kamar, N., & Abdul Aziz, N. (2011). Pre-Service Teachers' Training in Information Communication and Technology for the ESL Classrooms in Malaysia. Turkish Online Journal of Distance Education, 11 (3), 97-108.
[07] Goktas, Y., Yildirim, S., and Yildirim, Z. (2009). Main barriers and possible enablers of ICTs integration into pre-service teacher education programs. Educational Technology andSociety, 12 (1), 193-204.
[08] Wong, K. T., Goh, P. S. C., and Rahmat, M. K. (2013). Understanding Student Teachers' Behavioural Intention to Use Technology: Technology Acceptance Model (TAM) Validation and Testing. International Journal of Instruction, 6, 89-104.
[09] Mirzajani, H., Mahmud, R., Ayub, A. F. M., & Luan, W. S. (2015). A Review of Research Literature on Obstacles that Prevent Use of ICT in Pre-Service Teachers' Educational Courses. International Journal of Education and Literacy Studies, 3 (2), 25-31.
[10] Buabeng-Andoh, C. (2012). Factors influencing teachers’ adoption and integration of information and communication technology into teaching: A review of the literature. International Journal of Education and development using ICT, 8 (1), 136-155.
[11] Gill, L. and Dalgarno, B. (2010). How does pre-service teacher preparedness to use ICTs for learning and teaching develop during the first two years of teacher training? In Proceedings of ASCILITE - Australian Society for Computers in Learning in Tertiary Education Annual Conference 2010 (pp. 371-381).
[12] Tezci, E. (2009). Teachers’ effect on ICT use in education: The Turkey sample. Procedia Social and Behavioral Sciences1: 1285-94.
[13] Wong, K. T., Teo, T., and Russo, S. (2012). Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers. Australasian Journal of Educational Technology, 28 (7), 1190-1207.
[14] Yalın, H. I., Ş. Karadeniz, & Ş. Şahin. (2007). Barriers to information and communication technologies integration into elementary schools in Turkey. Journal of Applied Sciences 7, no. 24: 4036-9.
[15] Yıldırım, S. (2007). Current Utilization of ICT in Turkish basic education schools: A review of teacher’s ICT use and barriers to integration. International Journal of Instructional Media34, no. 2: 171-86.
[16] Luan, W. S., & Teo, T. (2009). Investigating the technology acceptance among student teachers in Malaysia: An application of the Technology Acceptance Model (TAM). The Asia-Pacific Education Researcher, 18 (2), 261-272.
[17] Lei, J. (2009). Digital natives as preservice teachers: What technology preparation is needed? Journal of Computing in Teacher Education, 25 (3), 87-97.
[18] Angeli, C., and Valanides, N. (2008, March). TPCK in preservice teacher education: Preparing primary education students to teach with technology. Paper presented at the AERA annual conference, New York.
[19] Teo, T. (2008). Pre-service teachers' attitudes towards computer use: A Singapore survey. Australasian Journal of Educational Technology, 24 (4), 413-424.
[20] Wong, K. T., Goh, S. C., Hafizul Fahri, & Rosma Osman (2010). Computer attitudes and use among novice teachers: The moderating effects of school environment. Malaysian Journal of Learning and Instruction, 7, p. 93-112.
[21] Ma, W. W., Andersson, R., and Streith, K. (2005). Examining user-acceptance of computer technology: An empirical study of student teachers. Journal of Computer Assisted Learning, 21, 387-395.
[22] Paraskeva, F., Bouta, H., and Papagianna, A. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Computer and Education, 50 (3), 1084-1091.
[23] Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers’ computer attitudes: Applying and extending the Technology Acceptance Model (TAM). Journal of Computer Assisted Learning, 24 (2), 128-143.
[24] Teo, T., and van Schaik, P. (2012). Understanding the intention to use technology by preservice teachers: An empirical test of competing theoretical models. International Journal of Human-Computer Interaction, 28 (3), 178-188.
[25] Lee, Y. H., Hsieh, Y. C., and Hsu, C. N. (2011). Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems. Educational Technology and Society, 14 (4), 124-137.
[26] Smarkola, C. (2007). Technology acceptance predictors among student teachers and experienced classroom teachers. Journal of Educational Computing Research, 37 (1), 65-82.
[27] Šumak, B., Hericko, M., Pusnik, M., & Polancic, G. (2011). Factors affecting acceptance and use of Moodle: an empirical study based on TAM. Slovenian Society Informatika, 35 (1), 91-100.
[28] Tella, A., Tella, A., Toyobo, O. M., Adika, L. O., and Adeyinka, A. A. (2007). An assessment of secondary school teachers’ uses of ICT’s: Implications for further development of ICT’s use in Nigerian secondary schools. Turkish Online Journal of Educational Technology, vol. 6, no. 3.
[29] Wong, S. L. and Teo, T. (2009). Investigating the technology acceptance among student teachers in Malaysia: An application of the technology acceptance model (TAM). The Asia Pacific Education Researcher, 18 (2), 261-272.
[30] Kiraz, E., and Ozdemir, D. (2006). The relationship between educational ideologies and technology acceptance in pre-service teachers. Educational Technology and Society, 9 (2), 152-165.
[31] Venkatesh, V., Morris, M., Davis, G., and Davis, F. D. (2003). User-acceptance of Information Technology: Toward a unified view. MIS Quarterly, 27, 425-478.
[32] Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
[33] Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13, 319-340.
[34] Fishbein, M., and Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
[35] Rogers, E. M. (2003). Diffusion of innovations, 5th ed. New York, NY: Free Press.
[36] Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
[37] AlAbdulkarim, L., Lukszo, Z., and Fens, T. (2012). Acceptance of Privacy-Sensitive Technologies. Smart Metering Case in the Netherlands.
[38] Stockdill, S. H., and Morehouse, D. L. (1992). Critical factors in the successful adoption of technology: A checklist based on the findings. Educational Technology, vol. 32, no. 1, pp. 57-58.
[39] Balanskat, A., Blamire, R., & Kefala, S. (2006). A review of studies of ICT impact on schools in Europe: European Schoolnet. Recuperado de http://ec.europa. Eu/education/pdf/doc254_en. Pdf.
[40] Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers and Education, 57 (4), 2432-2440.
[41] Sadaf, A., Newby, T. J., and Ertmer, P. A. (2012). Exploring Factors that Predict Pre-service Teachers' Intentions to Use Web 2.0 Technologies Using Decomposed Theory of Planned Behavior. Journal of Research on Technology in Education, 45 (2).
[42] Luan, W. S., and Teo, T. (2011). Student Teachers’ Acceptance of Computer Technology. In Technology Acceptance in Education (pp. 43-61). Sense Publishers Researcher, 18 (2), 261-272.
[43] Alhawiti, M. M. (2011). Faculty perceptions about attributes and barriers impacting the diffusion of online education in two Saudi universities. Ph. D. thesis, Indiana State University.
[44] Sahin, S. (2012). Pre-service teachers' perspectives of the diffusion of information and communications technologies (ICTs) and the effect of case-based discussions (CBDs). Computers and Education, 59 (4), 1089-1098.
[45] Taiwo, A. A., and Downe, A. G. (2013). The theory of user acceptance and use of technology (UTAUT): A meta-analytic review of empirical findings. Journal of Theoretical and Applied Information Technology, 49 (1).
[46] Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers and Education, 52, 302–312.
[47] Lai, H. M., and Chen, C. P. (2011). Factors influencing secondary school teachers’ adoption of teaching blogs. Computers and Education, 56 (4), 948-960.
[48] Post, S. W. (2010). Modeling of Stakeholders' Perceptions and Beliefs about e-Learning Technologies in Service-Learning Practices. ProQuest LLC.
[49] Al-Taamneh, R. (2011). An Empirical and Theoretical Investigation of the Factors Influencing Newfoundland and Labrador's Post-Secondary Instructors' Decisions to Adopt Web 2.0 Technologies (Doctoral dissertation, Memorial University of Newfoundland.
[50] Lakhal, S., Khechine, H., and Pascot, D. (2013). Student behavioural intentions to use desktop video conferencing in a distance course: integration of autonomy to the UTAUT model. Journal of Computing in Higher Education, 1-29.
[51] Jong, D. and Wang, T. S. (2009). Student Acceptance of Web-based Learning System. Oulu: Acad Publ. Li, N., and G. Kirkup. 2.
[52] Birch, A., and Irvine, V. (2009). Preservice teachers’ acceptance of ICT integration in the classroom: applying the UTAUT model. Educational media international, 46 (4), 295-315.
[53] Fang, W. C., Li, M. W., & Liu, C. W. (2008, June). Measurement of the Knowledge-Sharing Efficacy of Web2. 0 Site Constructed on the Basis of Knowledge-based Systems by Applying the Model of UTAUT: Evidence of the early adopters. In Innovative Computing Information and Control, 2008. ICICIC'08. 3rd International Conference on (pp. 372-372). IEEE.
[54] Lau, B. T., & Sim, C. H. (2008). Exploring the extent of ICT adoption among secondary school teachers in Malaysia. International Journal of Computing and ICT Research, 2 (2), 19-36.
[55] Teo, T., Wong, S. L., & Chai, C. S. (2008). A Cross-cultural Examination of the Intention to Use Technology between Singaporean and Malaysian Pre-service Teachers: An Application of the Technology Acceptance Model (TAM). Educational Technology and Society, 11 (4), 265-280.
[56] Askar, P., Usluel, Y. K. and Mumcu, F. K. (2006). Logistic Regression Modeling for Predicting Task-Related ICT Use in Teaching. Educational Technology and Society, vol. 9, no. 2, pp. 141-151.
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