Behavioural Intention of Financial Accounting Teachers Toward Mobile Learning Adoption in Government Science and Technical Colleges in Gombe State

Authors

  • Suleiman Hayatu Author
  • Bala Suleiman Dalhat Author
  • Ahmad Aliyu Deba Author

Keywords:

Behavioural Intention, Mobile Learning, Financial Accounting Teachers

Abstract

The  study  focused  on  determining  the  behavioural  intention  toward  m-learning  adoption  among  financial accounting teachers of government science and technical colleges (GSTCs) in Gombe state. In achieving this, five research questions were raised and four null hypotheses were formulated to guide the study. Descriptive survey design was adopted for the study. The study used the four constructs of the unified theory of acceptance and use of technology (UTAUT) model. The total population of 6 teachers was used for the study. A structured questionnaire with five point Likert scale was developed validated and its reliability established using Cronbach alpha. A reliability coefficient of 0.70 was found. The administration of the questionnaire was done by the researcher. Data collected were analyzed using mean, standard deviation, multiple regression analysis and ANOVA. The finding of the study indicated that financial accounting teachers (FATs) show a high positive behavioural intention toward m-learning adoption. Another finding revealed that performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC) have significant influence on the behavioural intention (BI) of FATs toward m-learning adoption. Also, the independent variables (PE, EE, SI, FC) explained 85 percent of the variance in the dependent variable (BI). The study concluded that m-learning will not only be effortless in teaching of financial accounting but also improves teachers’ performance and consequently the students’ performance. The study recommends that government at all levels should consider the adoption of m-learning particularly in GSTCs to supplement teaching of financial accounting. Also, stakeholders in education should ensure frequent training of FATs on how best to utilize mobile devices for teaching through organizing seminars, workshops and conferences.

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References

Abu-Al-Aish, A. (2014). Toward mobile learning deployment in higher education. (Unpublished doctoral dissertation), Brunel University, London.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior.

Journal of Applied Social Psychology, 23(4), 665-683

Al-Emran, M., Arpaci, I., & Salloum, S. A. (2020). An empirical examination of continuous intention to use

m-learning: An integrated model. Education and Information Technologies. https://doi.org/10.1007/s10639- 019-10094-2

Al-Hujran, O., Al-Lozi, E., & Al-Debei, M. M. (2014). Get ready to mobile learning: Examining factors affecting college students’ behavioral intentions to use m-learning in Saudi Arabia. Jordan Journal of Business Administration, 10(1).

Aljunaid, N. M. F., Alzahrani, M. A. R., & Atiquil-Islam, A. Y. M. (2013). Assessing mobile learning readiness

in Saudi Arabia higher education: An empirical study. The Malaysian Online Journal of Educational Technology, 2(2).

Chaka, J. G., & Govender, I. (2017). Students’ perceptions and readiness towards mobile learning in colleges of education: A Nigerian perspective. South African Journal of Education, 37(1), 1-12. https://doi.org/10.15700/ saje.v37nla1282

Chaka, J. G., & Govender, I. (2020). Implementation of mobile learning using a social network platform: Facebook.

Problems of Education in the 21 Century, 78(1), 24-47. https://doi.org/10.33225/pec/20.78.24

st

Chelvarayan, A., Chee, J. E., Yoe, S. F., & Hashim, H. (2020). Students’ perceptions on mobile learning: The influencing factors. International Journal of Education Psychology and Counselling, 5(37), 1-9. https://doi. org/10.35631/ijepc.537001

Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers and Education, 59(3), 1054-1064.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika Journal, 16, 297-334. Donaldson, R. L. (2011). Student acceptance of mobile learning. (Unpublished doctoral dissertation), Florida State

University, USA.

Eltayeb, H. M., & Hegazi, M. O. A. (2014). Mobile learning aspects and readiness. International Journal of Computer Applications, 103(11).

Eze, C. E. (2014). Strategies for improving performance in financial accounting in NCE business education programs in colleges of education in South-east Nigeria. 11 International Conference. Reykjavik.

Frederick, F. T. (2015). Investigating the perception and attitude of teachers toward mobile learning in senior secondary schools in Ondo State. (Unpublished undergraduate project), Adekunle Ajasin University, Akungba Akoko, Nigeria.

Hamzah, W. W., Yusoff, M., Ismail, I., & Yacob, I. (2020). The behavioural intention of secondary school students to use tablet as a mobile learning device. International Journal of Interactive Technologies, 14(13), 161-171. https://do.org/10.3991/ijim.v14i13.13027

Harnett, D. L., & Murphy, J. L. (2007). Introductory statistical analysis. Addison-Wesley Publishing Company, Inc. Hoi, V. N. (2020). Understanding higher education learner acceptance and use of mobile devices for language

learning: A Rasch-based path modelling approach. Computers and Education, 146. https://do.org/10.1016/j. compedu.2019.103761

Igben, R. O. (2009). Financial accounting made simple. ROI Publishers.

Jackman, G. (2014). Investigating the factors influencing students’ acceptance of mobile learning: The Cave Hill campus experience. Caribbean Educational Research Journal, 2(2), 14-32.

Jaijaram, P. (2012). Engaging accounting students: How to teach principles of accounting in creative and exciting ways. American Journal of Business Education, 5(1).

Jairak, K., Praneetpolgrang, P., & Mekhabunchakij, K. (2009). An acceptance of mobile learning for higher education students in Thailand. The International Journal of the Computer, the Internet and Management, 17(SP3), 36.1–368.

Kutluk, F. A., Donmez, A., Gulmez, M., & Terzioglu, M. (2015). A re-research about usage of mobile devices in accounting lessons. World Conference on Educational Sciences (WCES), Novotel Athens Convention Centre, Athens, Greece.

Lam, P., Kwok, M., & Wong, K. (2011). Support and promotion of mobile learning strategies. Proceedings of Australian Society of Computers in Learning in Tertiary Education Annual Conference, 758-762.

McCanatha, D., Praul, M., & Lynch, M. J. (2008). Mobile learning in higher education: An empirical assessment of a new educational tool. The Turkish Online Journal of Educational Technology, 7(3), 15-21.

Mtebe, J. S. & Raisamo, R. (2014). Investigating students’ behavioral intention to adopt and use mobile learning in higher education in East Africa. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 10(3), 4-20.

Nassuora, A. B. (2012). Students acceptance of mobile learning for higher education. American Academic and Scholarly Research Journal, 4, 1-5.

Naveed, Y. (2010). Mobile learning effectiveness in higher education. (Unpublished undergraduate project), Linnaeus University, Linnaeus.

Ogheneovo, A. A., & Linda, R. C. (2015). Challenges and benefits of mobile learning adoption in Delte State Polytechnic. American International Journal of Contemporary Research, 5(4).

Osang, F. B., & Ngole, J. (2014). M- learning implementation: Readiness of the National Open University of Nigeria.

International Journal of Emerging Technology and Advanced Engineering, 4(11).

Osang, F. B., Ngole, J., & Tsuma, C. (2013). Prospects and challenges of mobile learning implementation in Nigeria: A case study of national open university of Nigeria. International Conference on ICT for Africa.

Pollara, P. (2011). Mobile learning in higher education: A glimpse and comparison of student and faculty readiness, attitudes and perceptions. (Unpublished doctoral dissertation), Louisiana State University, Louisiana.

Rataj, M., & Wojcik, J. (2020). The mobile learning adoption model tailored to the needs of a private university. The Electronic Journal of e-Learning, 18(4), 311-323. https://doi.org/10.34190/ejel.20.18.4.004

Sarrab, M., Elgamel, L., & Aldabbas, H. (2012). Mobile learning (m- learning) and educational environments.

International Journal of Distributed and Parallel Systems, 3(4).

Shorfuzzaman, M. & Alhussein, M. (2016). Modelling learners’ readiness to adopt mobile learning: A

perspective from a GCC higher education institution. Mobile Information Systems Journal. https//doi.

org/10.1155/2016/698224

Suryaningrum, D. H., Wuryani, E., & Purbasari, I. Y. (2015). The effectiveness of mobile-based learning technology versus face-to-face learning of accounting information systems. Journal of Business Education and Accreditation, 7(1).

Tagoe, M., & Abakah, E. (2014). Determining distance education students’ readiness for mobile learning at university of Ghana using the theory of planned behavior. International Journal of Education and Development using Information and Communication Technology, 10(1), 91-106.

Thomas, T. D., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using Information and Communication Technology, 9(3), 71-85.

Traxler, J., & Koole, M. (2014). The theory paper: What is the future of mobile learning? 10 International

th

Conference on Mobile Learning, 289-293.

United Nation Education, Scientific and Cultural Organization (2012). Mobile learning for teachers in Africa and Middle East: Exploring the potential of mobile technologies to support teachers and improve practice. UNESCO.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478.

Welch, R., Alade, T., & Nichol, L. (2020). Mobile learning adoption at a science museum. In Arai, K., Kapoor, S., Bhatia, R. (eds). Intelligent Computing SAI 2020. Advances in Intelligent Systems and Computing, Vol 1228, Springer, Cham. https://do.org/10.1007/978-3-030-52249-0_49

Wei-Han Tan, G., Sim, J., Keng-Boon, O., & Phusavat, K. (2012). Determinants of mobile learning adoption: An empirical analysis. Journal of Computer Information Systems, 52(3), 82-91

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Published

2021-07-01