Developing Questionnaires for the Technology Acceptance Model (TAM): A Study on the Teachers’ Acceptance of Using Online Education

Nor Azlina Azuddin, Kamaruzzaman Abdul Manan, Mohammad Taufiq Abdul Ghani, Wan Norshira Wan Mohd Ghazali

Abstract


Since the Movement Control Order (MCO) in 2020, Malaysia's Ministry of Education (MOE) has recommended online learning sessions. Traditional teaching methods need to be replaced with more modern approaches. This change allows students to participate in distance learning, making online learning more widely accepted in education. However, the challenges of online communication have intensified due to the pandemic. Some teachers may find the complexity of online platforms an obstacle and may use this as an excuse to avoid using technology. Another issue is the lack of computer proficiency, which can create a fear of technology. Additionally, the convenience of learning from any location at any time should be considered. Previous studies have shown that user motivation plays a crucial role in accepting technology.  This study aims to develop an instrument that measures teachers’ acceptance of online learning based on the Technology Acceptance Model (TAM). The article will focus on developing a questionnaire to assess the following variables: teacher’s Perceived Usefulness, Perceived Convenience, Perceived Ease of Use, Attitude, Intention to Use, and Usage Behaviour in accepting technology. The study used a quantitative approach. The pilot test was conducted on the instrument for 40 secondary school teachers in Perak. The data were analysed both descriptively and inferentially. The reliability and validity results were significant and are expected to aid future researchers in developing better assessment tools.

 

Keywords: Instrument development, questionnaire, Technology Acceptance Model, teachers’ acceptance, online education.

 

https://doi.org/10.17576/JKMJC-2024-4003-30


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Ag-Ahmad, N., Mohamed, A. T. F. S., & Bakar, E. W. (2023). Systematic review on issues and challenges of pre-service English teachers in Malaysia. Teflin Journal, 34(1), 1–20. https://doi.org/10.15639/teflinjournal.v34i1/1-20

Al-Adwan, A. S., Al-Madadha, A., & Zvirzdinaite, Z. (2018). Modeling students’ readiness to adopt mobile learning in higher education: An empirical study. The International Review of Research in Open and Distributed Learning, 19(1), 221–241. https://doi.org/10.19173/irrodl.v19i1.3256

Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023). Extending the Technology Acceptance Model (TAM) to predict university students’ intentions to use metaverse-based learning platforms. Education and Information Technologies, 28(11), 15381–15413. https://doi.org/10.1007/s10639-023-11816-3

Al‐rahmi, A. M., Al‐rahmi, W. M., Alturki, U., Aldraiweesh, A., Almutairy, S., & Al‐adwan, A. S. (2021). Exploring the factors affecting mobile learning for sustainability in higher education. Sustainability (Switzerland), 13(14). https://doi.org/gsmxb9

Alami, Y., & El Idrissi, I. (2022). Students’ adoption of e-learning: evidence from a Moroccan business school in the COVID-19 era. Arab Gulf Journal of Scientific Research, 40(1), 54–78. https://doi.org/10.1108/AGJSR-05-2022-0052

Almekhlafi, A. G., & Almeqdadi, F. A. (2010). Teachers’ perceptions of technology integration in the United Arab Emirates school classrooms. Educational Technology and Society, 13(1), 165–175. https://www.jstor.org/stable/pdf/jeductechsoci.13.1.165.pdf

Ambiya, U. N. (2022). Analisis penerimaan mahasiswa terhadap sistem informasi akademik (SIAKAD) UMTAS dengan Technology Acceptance Model (TAM). Produktif: Jurnal Ilmiah Pendidikan Teknologi Informasi, 5(2), 473–480. https://doi.org/nkvt

Azizah, F. D., Nur, A. N., & Putra, A. H. P. K. (2022). Impulsive buying behavior: Implementation of IT on technology acceptance model on e-commerce purchase decisions. Golden Ratio of Marketing and Applied Psychology of Business, 2(1), 58–72. https://doi.org/10.52970/grmapb.v2i1.173

Bakar, A. Y. A. (2023). Fulfilling the aspirations of Malaysian Education Blueprint 2013-2025: Issues and challenges. Journal for ReAttach Therapy and Developmental Diversities, 6(6), 13–17.

Ballouk, R., Mansour, V., Dalziel, B., & Hegazi, I. (2022). The development and validation of a questionnaire to explore medical students’ learning in a blended learning environment. BMC Medical Education, 22, 4. https://doi.org/nkh6

Barrot, J. S., Llenares, I. I., & del Rosario, L. S. (2021). Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines. Education and Information Technologies, 26(6), 7321–7338. https://doi.org/gj8tdt

Cheung, S. K. S., Wong, B. T. M., & Li, K. C. (2023). Perceived usefulness of open educational resources: Impact of switching to online learning for face-to-face and distance learners. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1004459

Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Thesis Ph.D, Sloan School of Management, Massachusetts Institute of Technology). http://hdl.handle.net/1721.1/15192

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

Dom-Nwachukwu, Ijeoma Hossana, & B. Chima Onuoha. (2021). Staff development strategies and organizational performance: A study of Nigerian Agip Oil Company Limited, Portharcourt, Rivers State. EPRA International Journal of Economics, Business and Management Studies, 1–10. https://doi.org/10.36713/epra7503

Duggineni, S. (2023). Impact of controls on data integrity and information systems. Science and Technology, 2023(2), 29–35.

Durnalı, M., Orakçı, Ş., & Toraman, Ç. (2022). Distance education students' acceptance of online learning systems, attitudes towards online learning and their self directed learning skills. Malaysian Online Journal of Educational Technology, 10(2), 76-89. https://doi.org/10.52380/mojet.2022.10.2.236

Fentoullis, M., Shulruf, B., & Torda, A. (2021). Online approaches harnessing the challenges of COVID-impacted ‘face to face’ clinical learning. EDULEARN21 Proceedings, 1, 4634–4640. https://doi.org/10.21125/edulearn.2021.0963

Ghani, R. H. A., Hamid, A. S. A., Paidi, Z., Yusof, F. M., Rambely, N. A. S., & Haniffa, M. A. (2019). Profiling Gen-Y aspiration in nationhood education in realizing the Malaysian education blueprint. Journal of Advanced Research in Dynamical and Control Systems, 11(5 Special Issue), 650–656.

Guoyan, S., Khaskheli, A., Raza, S. A., Khan, K. A., & Hakim, F. (2021). Teachers’ self-efficacy, mental well-being and continuance commitment of using learning management system during COVID-19 pandemic: A comparative study of Pakistan and Malaysia. Interactive Learning Environments, 31(7), 4652-4674. https://doi.org/nkvv

Joshi, A., Kale, S., Chandel, J., & Pal, D.K. (2021). Likert scale: Explored and explained. Current Journal of Applied Science and Technology, 7(4), 396-403. https://doi.org/dgbz

Klecker, B. M., Hunt, S., Hunt, D., & Lackner, K. (2005). Evaluating student teachers’ technology use with group support systems and questionnaire. Educational Technology, Research and Development, 53(1), 124.

Lai, P. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1). https://doi.org/10.4301/s1807-17752017000100002

Maatuk, A. M., Elberkawi, E. K., Aljawarneh, S., Rashaideh, H., & Alharbi, H. (2022). The COVID-19 pandemic and e-learning: Challenges and opportunities from the perspective of students and instructors. Journal of Computing in Higher Education, 34(1), 21–38. https://doi.org/10.1007/s12528-021-09274-2

Manan, K. A., Sapiee, N., Mustafa, N. M., & Ghazali, W. N. W. M. (2023). The role of communications in the resilience of risk group in Kuching, Sarawak, during the dispersal of COVID-19 virus. Jurnal Komunikasi: Malaysian Journal of Communication, 39(1), 386-406. https://doi.org/10.17576/JKMJC-2023-3901-22

Manan, K. A., Tajuddin, S. N. A. A., Singh, C. K. S., Chaniago, R. H., & Mohammad, E. R. (2022). Primary pupil parents conducting digital learning at home during pandemic Covid 19: A technology acceptance model approach. NeuroQuantology, 20(8), 1283.

Mo, C. Y., Hsieh, T. H., Lin, C. L., Jin, Y. Q., & Su, Y. S. (2021). Exploring the critical factors, the online learning continuance usage during COVID-19 pandemic. Sustainability (Switzerland), 13(10), 5471. https://doi.org/10.3390/su13105471

Nja C. O. Idiege, K. J., Uwe, U. E., Meremikwu, A. N., Ekon, E. E., Erim, c. M., Ukah, j. U., Eyo, E. O., Anari, M. I., & Cornelius-Ukpepi, B. U. (2023). Adoption of artificial intelligence in science teaching: From the vantage point of the African science teachers. Smart Learning Environments, 10, 42. https://doi.org/10.1186/s40561-023-00261-x

Noor, S. M., Manan, K. A., & Kuthoos, H. M. A. (2019). Assessing corporate brand equity of public universities. Jurnal Komunikasi: Malaysian Journal of Communication, 35(3), 283-299. https://doi.org/10.17576/JKMJC-2019-3503-17

Rashid, A. H. A., Shukor, N. A., Tasir, Z., & Na, K. S. (2021). Teachers’ perceptions and readiness toward the implementation of virtual learning environment. International Journal of Evaluation and Research in Education, 10(1), 209–214. https://doi.org/nkjf

Saleh, S. S., Nat, M., & Aqel, M. (2022). Sustainable Adoption of E-Learning from the TAM Perspective. Sustainability (Switzerland), 14(6), 3690. https://doi.org/gv3tpb

Shan, P. L. M., Yunus, M. M., & Mohamad, M. (2018). The Malaysian education blueprint 2013 and its effects on English language teaching in Malaysia. Asian EFL Journal, 20(7), 66–80.

Shih, K. P., Chen, H. C., Chang, C. Y., & Kao, T. C. (2010). The development and implementation of scaffolding-based self-regulated learning system for e/m-learning. Educational Technology and Society, 13(1), 80–93.

Silva, P. (2015). Davis' Technology Acceptance Model (TAM) (1989). In M. Al-Suqri & A. Al-Aufi (Eds.), Information seeking behavior and technology adoption: Theories and trends (pp. 205-219). IGI Global.

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339. https://doi.org/ggcpgx

South, L., Saffo, D., Vitek, O., Dunne, C., & Borkin, M. A. (2022). Effective use of likert scales in visualization evaluations: A systematic review. Computer Graphics Forum, 41(3), 43–55. https://doi.org/10.1111/cgf.14521

Tahir, M. M. (2023). Students’ behavioural intention towards adoption of online education: A study of the Extended UTAUT model. Journal of Learning for Development, 10(3), 392–410. https://doi.org/10.56059/jl4d.v10i3.949

Teresi, J. A., Yu, X., Stewart, A. L., & Hays, R. D. (2022). Guidelines for designing and evaluating feasibility pilot studies. Medical Care, 60(1), 95–103.

Wozney, V. (2006). Implementing computer technologies: Teachers’ perceptions and practices. Teacher, 14(January), 173–207.

Younas, A., & Porr, C. (2018). A step-by-step approach to developing scales for survey research. Nurse Researcher, 26(3), 14–19. https://doi.org/10.7748/nr.2018.e1585


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