Research Article

Modeling basic school teachers acceptance of instructional technology in advancing mathematical pedagogy in Ghana

Ebenezer Kwesi Lotey 1 * , Yarhands Dissou Arthur 1 , Joseph Frank Gordon 1 , Benjamin Adu-Obeng 1
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1 Department of Mathematics Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Kumasi, GHANA* Corresponding Author
Contemporary Mathematics and Science Education, 4(1), January 2023, ep23006, https://doi.org/10.30935/conmaths/12811
Submitted: 21 August 2022, Published: 06 January 2023
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ABSTRACT

In this study a modified technology acceptance model (TAM) was used to examine factors that determine information and communication technology (ICT) adoption in junior high school (JHS) mathematics classrooms in Ghana. The study purely employed a quantitative research method. A cross sectional survey was conducted using 180 basic school mathematics instructors in the Kumasi Metro using a questionnaire. Multiple stepwise regression was used as the statistical technique to analyze the data. The study found that usage training, perceived ease of use (PEU), perceived usefulness (PU), and attitude towards use (ATU), had a direct and positive impact on the JHS mathematics instructors’ intentions to utilize ICT for academic purposes. It was likewise concluded that the perceived ICT usefulness was found to be the most influential factor for the instructors’ intention to utilize ICT. The significant effect of usage training was statistically supported against the original TAM constructs utilized in this study. Also, the result from the study further reveals that mathematics facilitators intension to use ICT is not merely based on PEU, PU, and ATU, but fostered through educational culture to train their teaching staff in order to increase their competence and ability to use the instructional technology for academic purposes.
Keywords: JHS mathematics teachers, technology acceptance model, technologies in mathematics education, usage training

CITATION (APA)

Lotey, E. K., Arthur, Y. D., Gordon, J. F., & Adu-Obeng, B. (2023). Modeling basic school teachers acceptance of instructional technology in advancing mathematical pedagogy in Ghana. Contemporary Mathematics and Science Education, 4(1), ep23006. https://doi.org/10.30935/conmaths/12811

REFERENCES

  1. Agyei, D. D., & Voogt, J. (2011). ICT use in the teaching of mathematics: Implications for professional development of pre-service teachers in Ghana. Education and Information Technologies, 16(4), 423-439. https://doi.org/10.1007/s10639-010-9141-9
  2. Amoako-Gyampah, K., & Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information and Management, 41(6), 731-745. https://doi.org/10.1016/j.im.2003.08.010
  3. Apeanti, W. O. (2014). Prospective mathematics teachers’ perception about ICT integration in mathematics instruction in Ghana. Global Educational Research Journal, 2(10), 174-184.
  4. Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244-254. https://doi.org/10.17705/1jais.00122
  5. Balacheff, N., & Kaput, J. J. (1996). Computer-based learning environments in mathematics. In A. J. Bishop, Ken. Clements, C. Keitel, J. Kilpatrick, & C. Laborde (Eds.), International handbook of mathematics education (pp. 511-564). https://doi.org/10.1007/978-94-009-1465-0_15
  6. Boakye, K. B., & Banini, D. A. (2008). Teacher ICT readiness in Ghana. In K. Toure, T. M. S. Tchombe, & T. Karsenti (Eds.), ICT and changing mindsets in education (pp. 1-7). Langaa & ERNWACA /ROCARE.
  7. Chismar, W. G., & Wiley-Patton, S. (2003). Does the extended technology acceptance model apply to physicians. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences. https://doi.org/10.1109/HICSS.2003.1174354
  8. Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Pearson.
  9. Das, K. (2019). Role of ICT for better mathematics teaching. Shanlax International Journal of Education, 7(4), 19-28. https://doi.org/10.34293/education.v7i4.641
  10. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319-339. https://doi.org/10.2307/249008
  11. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022
  12. Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human Computer Studies, 45(1), 19-45. https://doi.org/10.1006/ijhc.1996.0040
  13. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  14. Davis, R. (2018). Increasing technology usage throughout teacher preparation: The importance of preservice teachers’ acceptance. In E. Langran, & J. Borup (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 2019-2024). Association for the Advancement of Computing in Education.
  15. De Beukelaer, C. (2014). The UNESCO/UNDP 2013 creative economy report: Perks and perils of an evolving agenda. Journal of Arts Management Law and Society, 44(2), 90-100. https://doi.org/10.1080/10632921.2014.895789
  16. Fathali, S., & Okada, T. (2018). Technology acceptance model in technology-enhanced OCLL contexts: A self-determination theory approach. Australasian Journal of Educational Technology, 34(4), 138-154. https://doi.org/10.14742/ajet.3629
  17. Gyamfi, S. A. (2016). Identifying Ghanaian pre-service teachers’ readiness for computer use: A technology acceptance model approach. International Journal of Education and Development Using Information and Communication Technology, 12(2), 105-122.
  18. Ibili, E., Resnyansky, D., & Billinghurst, M. (2019). Applying the technology acceptance model to understand maths teachers’ perceptions towards an augmented reality tutoring system. Education and Information Technologies, 24(5), 2653-2675. https://doi.org/10.1007/s10639-019-09925-z
  19. Lee, B. C., & Xie, J. (2018). How do aging adults adopt and use a new technology? New approach to understand aging service technology adoption. Communications in Computer and Information Science, 851, 161-166. https://doi.org/10.1007/978-3-319-92279-9_22
  20. Luan, W. S., & Teo, T. (2011). Student teachers’ acceptance of computer technology. In T. Teo (Eds.), Technology acceptance in education (pp. 43-61). Sense Publishers. https://doi.org/10.1007/978-94-6091-487-4_3
  21. Masrom, M. (2007). Technology acceptance model and e-learning. In Proceedings of the 12th International Conference on Education.
  22. Mata, M. de L., Monteiro, V., & Peixoto, F. (2012). Attitudes towards mathematics: Effects of individual, motivational, and social support factors. Child Development Research, 2012, 1-10. https://doi.org/10.1155/2012/876028
  23. Ministry of Education. (2008). ICT in education policy. Ministry of Education.
  24. Nair, I., & Mukunda Das, V. (2012). Using technology acceptance model to assess teachers' attitude towards use of technology as teaching tool: A SEM approach. International Journal of Computer Applications, 42(2), 1-6. https://doi.org/10.5120/5661-7691
  25. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. School Science and Mathematics, 47(8), 868-279.
  26. Okyere-Kwakye, E., Nor, K. M., & Ologbo, A. C. (2016). Technology acceptance: Examining the intentions of ghanaian teachers to use computer for teaching. African Journal of Library Archives and Information Science, 26(2), 119-132.
  27. Sánchez-Prieto, J. C., Olmos-Migueláñez, S., & García-Peñalvo, F. J. (2017). Technology acceptance among teachers: An SLR on TAM and teachers. In Proceedings of the 2nd European Conference for the Scholarship of Teaching and Learning (pp. 232-238).
  28. Silva, L. (2007). Post-positivist review of technology acceptance model. Journal of the Association for Information Systems, 8(4), 255-266. https://doi.org/10.17705/1jais.00121
  29. Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers and Education, 52(2), 302-312. https://doi.org/10.1016/j.compedu.2008.08.006
  30. Teo, T. (2011a). Technology acceptance in education: research and issues. Sense Publishers. https://doi.org/10.1007/978-94-6091-487-4
  31. Teo, T. (2011b). Factors influencing teachers’ intention to use technology: Model development and test. Computers and Education, 57(4), 2432-2440. https://doi.org/10.1016/J.COMPEDU.2011.06.008
  32. Teo, T. (2019). Students and teachers’ intention to use technology: Assessing their measurement equivalence and structural invariance. Journal of Educational Computing Research, 57(1), 201-225. https://doi.org/10.1177/0735633117749430
  33. Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  34. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425-478. https://doi.org/10.2307/30036540
  35. Watson, R., & Pallant, J. (2011). SPSS survival manual 4th edition: A step by step guide to data analysis using SPSS version 18. Open University Press.
  36. Yildirim, S. (2000). Effects of an educational computing course on preservice and in-service teachers: A discussion and analysis of attitudes and use. Journal of Research on Computing in Education, 32(4), 479-495. https://doi.org/10.1080/08886504.2000.10782293