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Articles

Acceptance of educational use of the Internet of Things (IoT) in the context of individual innovativeness and ICT competency of pre-service teachers

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Pages 557-571 | Received 03 Feb 2022, Accepted 12 Jun 2022, Published online: 26 Jun 2022

References

  • Abed, S., Alyahya, N., Altameem, A. (2020). IoT in education: Its impacts and its future in Saudi universities and educational environments. In A. Luhach, J. Kosa, R. Poonia, X. Z. Gao, D. Singh (Eds.), First international conference on sustainable technologies for computational intelligence. Advances in intelligent systems and computing, 1045. Singapore: Springer. https://doi.org/10.1007/978-981-15-0029-9_5
  • Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215. https://www.jstor.org/stable/23010927
  • Al-Abdullatif, A. M., Al-Dokhny, A. A., & Drwish, A. M. (2022). Critical factors influencing pre-service teachers’ use of the Internet of Things (IoT) in classrooms. International Journal of Interactive Mobile Technologies, 16, 4. https://doi.org/10.3991/ijim.v16i04.27007.
  • Aldahdouh, T. Z., Nokelainen, P., & Korhonen, V. (2018). Innovativeness of staff in higher education – Do implicit theories and goal orientations matter? International Journal of Higher Education, 7(2), 43–57. https://doi.org/10.5430/ijhe.v7n2p43
  • Aldahdouh, T. Z., Nokelainen, P., & Korhonen, V. (2020). Technology and social media usage in higher education: The influence of individual innovativeness. SAGE Open, 10(1), 2158244019899441. https://doi.org/10.1177/2158244019899441
  • Almetere, E. S., Kelana, B. W. Y., & Mansor, N. N. A. (2020). Using UTAUT model to determine factors affecting Internet of Things acceptance in public universities. International Journal of Academic Research in Business and Social Sciences, 10(2), 142–150. https://doi.org/10.6007/IJARBSS/v10-i2/6915
  • Amasha, M. A., Areed, M. F., Alkhalaf, S., Abougalala, R. A., Elatawy, S. M., & Khairy, D. (2020, February). The future of using Internet of Things (loTs) and context-aware technology in e-learning. In Proceedings of the 2020 9th International Conference on Educational and Information Technology (pp. 114–123).
  • Baig, M. I., Shuib, L., & Yadegaridehkordi, E. (2019). Big data adoption: State of the art and research challenges. Information Processing & Management, 56(6), Article 102095. https://doi.org/10.1016/j.ipm.2019.102095
  • Bandura, A. (1985). Model of causality in social learning theory. In Cognition and psychotherapy (pp. 81–99). Springer.
  • Baturay, M. H., Gökçearslan, S., & Sahin, S. (2017). Associations among teachers’ attitudes towards computer-assisted education and TPACK competencies. Informatics in Education, 16(1), 1–23. https://doi.org/10.15388/infedu.2017.01
  • Bartels, J., & Reinders, M. J. (2011). Consumer innovativeness and its correlates: A propositional inventory for future research. Journal of Business Research, 64(6), 601–609. https://doi.org/10.1016/j.jbusres.2010.05.002
  • Blahodyr, L., Kononenko, A., Kulynych, O., Ianytskyi, T., Sinelnikova, V., & Mykytenko, T. (2021). Digital competence in education at the present stage of development information society. International Journal of Computer Science & Network Security, 21(8), 13–16. https://doi.org/10.22937/IJCSNS.2021.21.8.2
  • Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user Information systems: Theory and results. 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, 13(3), 319–340. https://doi.org/10.2307/249008
  • 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
  • Drake, S. M., & Reid, J. L. (2018). Integrated curriculum as an effective way to teach 21st century capabilities. Asia Pacific Journal of Educational Research, 1(1), 31–50. https://doi.org/10.30777/APJER.2018.1.1.03
  • Farhan, M., Jabbar, S., Aslam, M., Hammoudeh, M., Ahmad, M., Khalid, S., Khan, M., & Han, K. (2018). IoT-based students interaction framework using attention-scoring assessment in eLearning. Future Generation Computer Systems, 79(3), 909–919. https://doi.org/10.1016/j.future.2017.09.037
  • Felicia, A., Wong, W. K., Loh, W. N., & Juwono, F. H. (2021, July). Increasing role of IoT in education sector: A review of Internet of educational things (IoEdT). In 2021 International Conference on Green Energy, Computing and Sustainable Technology (GECOST) (pp. 1–6). IEEE.
  • Fornell, G., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Gefen, D., Straub, D. W., & Boudreau, M.-C. (2000). Structural equation modeling and regressing: Guidelines for research practice. Communications of the Association of in Formation Systems, 4(7), 1–70. https://doi.org/10.17705/1CAIS.00407
  • Gökçearslan, Ş, Coşkun, T. K., & Şahin, S. (2019). Adaptation of information and communication technology competency scale to Turkish for pre-service teachers. Kastamonu Education Journal, 27(4), 1435–1444. https://doi.org/10.24106/kefdergi.2828
  • Gökçearslan, Ş, Karademir, T., & Korucu, A. T. (2017). Preservice teachers’ level of web pedagogical content knowledge: Assessment by individual innovativeness. Journal of Educational Computing Research, 55(1), 70–94. https://doi.org/10.1177/2F0735633116642593
  • Gökçearslan, Ş, & Saritepeci, M. (2021). Educational dimension of the internet of things. In H. Çakır & Ç. Uluyol (Eds.), Internet of Things from theory to practice (pp. 351–366). Nobel Publishing.
  • Gregory, J. (2015). The Internet of Things: Revolutionizing the retail industry. Accenture Strategy, 1–8.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis: Pearson new international edition. Pearson Higher Education.
  • He, J., Lo, D. C. T., Xie, Y., & Lartigue, J. (2016, October). Integrating Internet of Things (IoT) into STEM undergraduate education: Case study of a modern technology infused courseware for embedded system course. In 2016 IEEE frontiers in education conference (FIE) (pp. 1–9). IEEE. https://doi.org/10.1109/FIE.2016.7757458
  • Hu, C. C., Yeh, H. C., & Chen, N. S. (2021). Teacher development in robot and IoT knowledge, skills, and attitudes with the use of the TPACK-based support-stimulate-seek approach. Interactive Learning Environments, 1–20. https://doi.org/10.1080/10494820.2021.2019058
  • Hurt, H. T., Joseph, K., & Cook, C. D. (1977). Scales for the measurement of innovativeness. Human Communication Research, 4(1), 58–65. https://doi.org/10.1111/j.1468-2958.1977.tb00597.x
  • Ionescu-Feleaga, L., Ionescu, BȘ, & Bunea, M. (2021). The IoT technologies acceptance in education by the students from the economic studies in Romania. The Amfiteatru Economic Journal, 23(57), 342–342. https://doi.org/10.24818/EA/2021/57/342
  • Kaushik, A. K., & Rahman, Z. (2014). Perspectives and dimensions of consumer innovativeness: A literature review and future agenda. Journal of International Consumer Marketing, 26(3), 239–263. https://doi.org/10.1080/08961530.2014.893150
  • Kılıçer, K., & Odabaşı, H. F. (2010). Individual innovativeness scale (IS): The study of adaptation to Turkish, validity and reliability. Hacettepe University Education Faculty Journal, 38(38), 150–164. https://hdl.handle.net/11421/14292
  • Kline, R. B. (2011). Principles and practice of structural equation modeling (5th ed., pp. 3–427). The Guilford Press.
  • Lai, Y. H., Chen, S. Y., Lai, C. F., Chang, Y. C., & Su, Y. S. (2021). Study on enhancing AIoT computational thinking skills by plot image-based VR. Interactive Learning Environments, 29(3), 482–495. https://doi.org/10.1080/10494820.2019.1580750
  • Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245–268. https://doi.org/10.1016/j.jsis.2005.07.003
  • Lyapina, I., Sotnikova, E., Lebedeva, O., Makarova, T., & Skvortsova, N. (2019). Smart technologies: Perspectives of usage in higher education. International Journal of Educational Management, 33(3), 454–461. https://doi.org/10.1108/IJEM-08-2018-0257
  • Macaulay, J., Buckalew, L., & Chung, G. (2015). Internet of Things in logistics. DHL Trend Research, 1(1), 1–27.
  • Mazman Akar, S. G. (2019). Does it matter being innovative: Teachers’ technology acceptance? Education and Information Technologies, 24(6), 3415–3432. https://doi.org/10.1007/s10639-019-09933-z
  • McRae, L., Ellis, K., & Kent, M. (2018). Internet of things (IoT): Education and technology (pp. 1–37). https://www.ncsehe.edu.au/wp-content/uploads/2018/02/IoTEducation_Formatted_Accessible.pdf
  • Meacham, S., Stefanidis, A., Gritt, L., & Phalp, K. T. (2018). Internet of Things for education: Facilitating personalised education from a university’s perspective. http://eprints.bournemouth.ac.uk/32703/1/2%20BCS%20Inspire_Design%20an%20IoT%20Solution%20for%20Education_camera%20ready%20final%20.pdf
  • Mershad, K., Damaj, A., & Hamieh, A. (2019). Using Internet of Things for automatic student assessment during laboratory experiments. In 2019 IEEE International Smart Cities Conference (ISC2). https://doi.org/10.1109/ISC246665.2019.9071654
  • Moreira, F. T., Magalhães, A., Ramos, F., & Vairinhos, M. (2018). The power of the Internet of Things in education: An overview of current status and potential. In Ó Mealha, M. Divitini, & M. Rehm (Eds.), Citizen, territory and technologies: Smart learning contexts and practices. SLERD 2017. Smart innovation, systems and technologies (p. 80). Springer. https://doi.org/10.1007/978-3-319-61322-2_6
  • Nunnally, J., & Bernstein, I. (1994). Psychometric theory (3rd ed.). McGraw Hill.
  • Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017). Comprehensive approaches to user acceptance of Internet of Things in a smart home environment. IEEE Internet of Things Journal, 4(6), 2342–2350. https://doi.org/10.1109/JIOT.2017.2750765
  • Parveen, F., & Sulaiman, A. (2008). Technology complexity, personal innovativeness and intention to use wireless Internet using mobile devices in Malaysia. International Review of Business Research Papers, 4(5), 1–10.
  • Rahman, R. B., Rahman, R. B., & Amirruddin, A. B. M. (2020). Users’ intention in developing Internet of Things in education context using the technology acceptance model: A case study. Jurnal Sains Sosial dan Pendidikan Teknikal | Journal of Social Sciences and Technical Education (JoSSTEd), 1(1), 98–104. https://myjms.mohe.gov.my/index.php/jossted/article/view/10689
  • Rawlinson, K. (2014). Hp study reveals 70 percent of Internet of Things devices vulnerable to attack. HP Advisory.
  • Rico-Bautista, D., Guerrero, C. D., Collazos, C. A., Maestre-Góngora, G., Hurtado-Alegría, J. A., Medina-Cárdenas, Y., & Swaminathan, J. (2021). Smart university: A vision of technology adoption. Revista Colombiana de Computación, 22(1), 44–55. https://doi.org/10.29375/25392115.4153
  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
  • Rogers, E. M., & Shoemaker, F. F. (1971). Communication of innovations; A cross-cultural approach.
  • Saritepeci, M., Yıldız Durak, H., & Durak, A. (2021). Hayat Boyu öğrenme bağlamında endüstri 4.0. In H. Yildiz Durak ve M. Saritepeci (Eds.) içinde Dijital Çağda Hayat Boyu Öğrenme (10. Bölüm). Pegem Yayıncılık.
  • Sethi, P., & Sarangi, S. R. (2017). Internet of Things: architectures, protocols, and applications. Journal of Electrical and Computer Engineering, 2017, 9324035, 1–25. https://doi.org/10.1155/2017/9324035
  • Sharma, S. K., Al-Badi, A. H., Govindaluri, S. M., & Al-Kharusi, M. H. (2016). Predicting motivators of cloud computing adoption: A developing country perspective. Computers in Human Behavior, 62, 61–69. https://doi.org/10.1016/j.chb.2016.03.073
  • Siripongdee, K., Tuntiwongwanich, S., & Pimdee, P. (2021). Blended learning model with IoT-based by smartphone. International Journal of Interactive Mobile Technologies, 15(11), 166–181. https://doi.org/10.3991/ijim.v15i11.22441
  • Sitepu, R. B., Eliyana, A., Raza, A., & Rosalina, M. (2020). The readiness of educational competency in higher education in connecting the era of Industrial Revolution 4.0. In SHS Web of Conferences (Vol. 76, p. 01045). EDP Sciences. https://doi.org/10.1051/shsconf/20207601045
  • Starkey, L. (2020). A review of research exploring teacher preparation for the digital age. Cambridge Journal of Education, 50(1), 37–56. https://doi.org/10.1080/0305764X.2019.1625867
  • Stojanović, D., Bogdanović, Z., Petrović, L., Mitrović, S., & Labus, A. (2020). Empowering learning process in secondary education using pervasive technologies. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2020.1806886
  • Tianbo, Z. (2012, November). The Internet of Things promoting higher education revolution. In 2012 Fourth International Conference on Multimedia Information Networking and Security (pp. 790–793). IEEE. https://doi.org/10.1109/MINES.2012.231.
  • Tondeur, J., Aesaert, K., Prestridge, S., & Consuegra, E. (2018). A multilevel analysis of what matters in the training of pre-service teacher's ICT competencies. Computers & Education, 122, 32–42. https://doi.org/10.1016/j.compedu.2018.03.002
  • Tondeur, J., Aesaert, K., Pynoo, B., van Braak, J., Fraeyman, N., & Erstad, O. (2017). Developing a validated instrument to measure preservice teachers’ ICT competencies: Meeting the demands of the 21st century. British Journal of Educational Technology, 48(2), 462–472. https://doi.org/10.1111/bjet.12380
  • Trust, T. (2018). 2017 ISTE standards for educators: From teaching with technology to using technology to empower learners. Journal of Digital Learning in Teacher Education, 34(1), 1–3. https://doi.org/10.1080/21532974.2017.1398980
  • UNESCO. (2011). UNESCO ICT competency framework for teachers. http://unesdoc.unesco.org/images/0021/002134/213475e.pdf
  • Vaca-Cárdenas, L., & McHaney, R. (2017). Business teachers’ ICT skills and uses in an IoT classroom. Journal of Education and Learning, 11(4), 394–403. https://doi.org/10.11591/edulearn.v11i4.7168
  • Vyalikova, G., Plekhanova, M., Pluzhnikova, J., & Savelyeva, S. (2019). General pedagogical ICT competency as a content-forming factor in the training of a new teacher. ARPHA Proceedings, 1, 775. https://doi.org/10.3897/ap.1.e0736
  • Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the role of individual innovativeness in the acceptance of IT-based innovations: Comparative analyses of models and measures. Decision Sciences, 37(3), 393–426. https://doi.org/10.1111/j.1540-5414.2006.00132.x
  • Yildiz Durak, H. (2019). Examining the acceptance and use of online social networks by preservice teachers within the context of unified theory of acceptance and use of technology model. Journal of Computing in Higher Education, 31(1), 1–37. https://doi.org/10.1007/s12528-018-9200-6
  • Yildiz Durak, H. (2021a). Modeling of relations between K-12 teachers’ TPACK levels and their technology integration self-efficacy, technology literacy levels, attitudes toward technology and usage objectives of social networks. Interactive Learning Environments, 29(7), 1136–1162. https://doi.org/10.1080/10494820.2019.1619591
  • Yildiz Durak, H. (2021b). Preparing pre-service teachers to integrate teaching technologies into their classrooms: Examining the effects of teaching environments based on open-ended, hands-on and authentic tasks. Education and Information Technologies, 26(5), 5365–5387. https://doi.org/10.1007/s10639-021-10511-5
  • Zaerov, E., Letskovska, S., Seymenliyski, K., & Simionov, R. (2020, October). PV system monitoring by loT in smart university. In Proceedings of the 9th International Conference on Telecommunications and Remote Sensing (pp. 44–49). https://doi.org/10.1145/3430116.3430124

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