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digital literacy practice pls sem teacher readiness vocational education

The Factors Influencing Digital Literacy Practice in Vocational Education: A Structural Equation Modeling Approach

Dwi Jatmoko , Suyitno Suyitno , Mohamad Sattar Rasul , Muhammad Nurtanto , Nur Kholifah , Alias Masek , Hamid Ramadhan Nur

In the future, vocational students will face all changes and developments in technology and information. In this context, students' digital litera.

I

In the future, vocational students will face all changes and developments in technology and information. In this context, students' digital literacy skills need to be trained to adapt to the demands of the world of work. This article aims to present the results of a study on factors that can improve the digital literacy practice for vocational students as a roadmap for digital learning in the current era. The sampling technique used purposive random sampling of 8 Vocational Schools in East Java Province, Indonesia. The number of respondents in this study amounted to 355 second-year students. The study has found that online learning, motivation, and technology introduction are influenced by students' digital literacy practices, while teacher readiness and infrastructure must be mediated by online learning. The findings in this study indicate that collaboration from various parties is needed from teachers, school administrators, and policymakers in planning learning that focuses on students' digital abilities.

Keywords: Digital literacy practice, PLS-SEM, teacher readiness, vocational education.

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Adedoyin, O. B., & Soykan, E. (2023). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 31(2), 863-875. https://doi.org/10.1080/10494820.2020.1813180

Alda, R., Boholano, H., & Dayagbil, F. (2020). Teacher education institutions in the philippines towards education 4.0. International Journal of Learning, Teaching and Educational Research, 19(8), 137–154. https://doi.org/10.26803/ijlter.19.8.8

Arono, Arsyad, S., Syahriman, Nadrah, & Villia, A. S. (2022). Exploring the effect of digital literacy skill and learning style of students on their meta-cognitive strategies in listening. International Journal of Instruction, 15(1), 527–546. https://doi.org/10.29333/iji.2022.15130a

Astuti, M., Arifin, Z., Nurtanto, M., Mutohhari, F., & Warju, W. (2022). The maturity levels of the digital technology competence in vocational education. International Journal of Evaluation and Research in Education, 11(2), 596–603. https://doi.org/10.11591/ijere.v11i2.22258

Bahanshal, D., & Khan, I. A. (2021). Effect of COVID-19 on education in Saudi Arabia and e-learning strategies. Arab World English Journal, 7, 359–376. https://doi.org/10.24093/awej/call7.25

Barrett, P., Treves, A., Shmis, T., Ambasz, D., & Ustinova, M. (2019). The impact of school infrastructure on learning. World Bank Group.

Bataeva, E. V. (2019). Cognitive and metacognitive skills of students in the context of smart-education. The Education and Science Journal, 21(4), 36–59. https://doi.org/10.17853/1994-5639-2019-4-36-59 [In Russian]

Bates, R., & Khasawneh, S. (2007). Self-efficacy and college students’ perceptions and use of online learning systems. Computers in Human Behavior, 23(1), 175–191. https://doi.org/10.1016/J.CHB.2004.04.004

Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588

Bidin, M. A. F., Shuhidan, S. M., & Sahid, N. Z. (2022). Reliability analysis of the effect of digital literacy on performance among secondary school students in Malaysia. Proceedings, 82(1), Article 102. https://doi.org/j39g

Blackwell, C. K., Lauricella, A. R., & Wartella, E. (2014). Factors influencing digital technology use in early childhood education. Computers and Education, 77(8), 82–90. https://doi.org/10.1016/j.compedu.2014.04.013

Chauhan, S. (2017). A meta-analysis of the impact of technology on learning effectiveness of elementary students. Computers and Education, 105, 14-30. https://doi.org/10.1016/j.compedu.2016.11.005

Coiro, J., Knobel, M., Lankshear, C., & Leu, D. J. (Eds.). (2008). Handbook of research on new literacies (1st ed.). Routledge. https://doi.org/10.4324/9781410618894

Coman, C., Țîru, L. G., Meseșan-Schmitz, L., Stanciu, C., & Bularca, M. C. (2020). Online teaching and learning in higher education during the coronavirus pandemic: Students’ perspective. Sustainability, 12(24), Article 10367. https://doi.org/10.3390/su122410367

Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018

Ellis, R. A., & Bliuc, A. M. (2019). Exploring new elements of the student approaches to learning framework: The role of online learning technologies in student learning. Active Learning in Higher Education, 20(1), 11–24. https://doi.org/10.1177/1469787417721384

Falloon, G. (2020). From digital literacy to digital competence: The teacher digital competency (TDC) framework. Educational Technology Research and Development, 68, 2449–2472. https://doi.org/10.1007/s11423-020-09767-4

Frolova, E. V., Ryabova, T. M., & Rogach, O. V. (2019). Digital technologies in education: Problems and prospects for “Moscow electronic school” project implementation. European Journal of Contemporary Education, 8(4), 779–789.

Gallego-Arrufat, M. J., Torres-Hernández, N., & Pessoa, T. (2019). Competence of future teachers in the digital security area. Comunicar, 27(61), 57-67. https://doi.org/10.3916/C61-2019-05

Garson, G. D. (2016). Partial least squares: Regression and structural equation models. Statistical Publishing Associates.

Gherheș, V., Stoian, C. E., Fărcașiu, M. A., & Stanici, M. (2021). E-learning vs. face-to-face learning: Analyzing students’ preferences and behaviors. Sustainability, 13(8), Article 4381. https://doi.org/10.3390/SU13084381

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8

Hobbs, R., & Tuzel, S. (2017). Teacher motivations for digital and media literacy: An examination of Turkish educators. British Journal of Educational Technology, 48(1), 7–22. https://doi.org/10.1111/bjet.12326

Hong, J.-C., Hwang, M.-Y., Tai, K.-H., & Lin, P.-H. (2017). Intrinsic motivation of Chinese learning in predicting online learning self-efficacy and flow experience relevant to students’ learning progress. Computer Assisted Language Learning, 30(6), 552–574. https://doi.org/10.1080/09588221.2017.1329215

Hung, M.-L. (2016). Teacher readiness for online learning: Scale development and teacher perceptions. Computers & Education, 94, 120–133. https://doi.org/10.1016/j.compedu.2015.11.012

Irfak, R. (2022). Literature review the effect of motivation and work environment on employee productivity & performance. International Journal of Education Management And Social Science, 3(5), 719–730. https://bit.ly/3U5D3vR

Johnson, G. M. (2007). Functional Internet Literacy: Required Cognitive Skills with Implications for Instruction. E-Learning and Digital Media, 4(4), 433–441. https://doi.org/10.2304/elea.2007.4.4.433

Jun, W. (2020). A study on the current status and improvement of the digital divide among older people in Korea. International Journal of Environmental Research and Public Health, 17(11), Article 3917. https://doi.org/10.3390/ijerph17113917

Karagul, B. I., Seker, M., & Aykut, C. (2021). Investigating students’ digital literacy levels during online education due to COVID-19 pandemic. Sustainability, 13(21), Article 11878. https://doi.org/10.3390/su132111878

Karyotaki, M., & Drigas, A. (2016). Online and other ICT-based training tools for problem-solving skills. International Journal of Emerging Technologies in Learning, 11(6), 35–39. https://doi.org/10.3991/ijet.v11i06.5340

Kasımoğlu, S., Bahçelerli, N. M., & Çelik, M. U. (2022). Digital literacy during COVID-19 distance education; evaluation of communication-based problems in line with student opinions. Frontiers in Psychology, 13, Article 809171. https://doi.org/10.3389/fpsyg.2022.809171

Khlaif, Z. N., Sanmugam, M., Joma, A. I., Odeh, A., & Barham, K. (2022). Factors influencing teacher’s technostress experienced in using emerging technology: A qualitative study. Technology, Knowledge and Learning. Springer Nature. https://doi.org/10.1007/s10758-022-09607-9

Khlaisang, J., & Likhitdamrongkiat, M. (2015). E-learning system in blended learning environment to enhance cognitive skills for learners in higher education. Procedia - Social and Behavioral Sciences, 174, 759–767. https://doi.org/10.1016/j.sbspro.2015.01.612

Kholifah, N., Irwanto, I., Ramdani, S. D., & Nurtanto, M. (2020). Vocational skills learning model strategies during covid-19. Journal of Physics: Conference Series, 1700(012092). https://doi.org/10.1088/1742-6596/1700/1/012092

Kholifah, N., Kurdi, M. S., Nurtanto, M., Mutohhari, F., Fawaid, M., & Subramaniam, T. S. (2023). The role of teacher self-efficacy on the instructional quality in 21st century : A study on vocational teachers, Indonesia. International Journal of Evaluation and Research in Education, 12(2), 998–1006. https://doi.org/10.11591/ijere.v12i2.23949

Ključnikov, A., Mura, L., & Sklenár, D. (2019). Information security management in smes: Factors of success. Entrepreneurship and Sustainability Issues, 6(4), 2081–2094. https://doi.org/10.9770/jesi.2019.6.4(37)

Kock, N. (2011). Using WarpPLS in e-collaboration studies: Mediating effects, control and second order variables, and algorithm choices. International Journal of E-Collaboration, 7(3), 1–13. https://doi.org/10.4018/jec.2011070101

Kolhar, M., Kazi, R. N. A., & Alameen, A. (2021). Effect of social media use on learning, social interactions, and sleep duration among university students. Saudi Journal of Biological Sciences, 28(4), 2216–2222. https://doi.org/10.1016/J.SJBS.2021.01.010

Leguina, A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727x.2015.1005806

Li, M., & Yu, Z. (2022). Teachers’ satisfaction, role, and digital literacy during the COVID-19 pandemic. Sustainability, 14(3), Article 1121. https://doi.org/10.3390/su14031121

Martens, H., & Hobbs, R. (2015). How media literacy supports civic engagement in a digital age. Atlantic Journal of Communication, 23(2), 120–137. https://doi.org/10.1080/15456870.2014.961636

Meneses, L. F. S. (2021). Thinking critically through controversial issues on digital media: Dispositions and key criteria for content evaluation. Thinking Skills and Creativity, 42, Article 100927. https://doi.org/10.1016/j.tsc.2021.100927

Mutohhari, F., Sutiman, S., Nurtanto, M., Kholifah, N., & Samsudin, A. (2021). Difficulties in implementing 21st century skills competence in vocational education learning. International Journal of Evaluation and Research in Education, 10(4), 1229–1236. https://doi.org/10.11591/ijere.v10i4.22028

Nitzl, C. (2016). The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development. Journal of Accounting Literature, 37(1), 19–35. https://doi.org/10.1016/j.acclit.2016.09.003

Nurtanto, M., Nurhaji, S., Widjanarko, D., Wijaya, M. B. R., & Sofyan, H. (2018). Comparison of scientific literacy in engine tune-up competencies through guided problem-based learning and non-integrated problem-based learning in vocational education. Journal of Physics: Conference Series, 1114, Article 012038. https://doi.org/10.1088/1742-6596/1114/1/012038

Nurtanto, M., Sofyan, H., Fawaid, M., & Rabiman, R. (2019). Problem-based learning (PBL) in industry 4.0: Improving learning quality through character-based literacy learning and life career skill (LL-LCS). Universal Journal of Educational Research, 7(11), 2487–2494. https://doi.org/10.13189/ujer.2019.071128

Nurtanto, M., Sudira, P., & Sofyan, H. (2023). A bibliometric analysis of teacher professional identity (TPI) for vocational education from 2004 to 2021. AIP Conference Proceedings, 2671(1), Article 050017. https:/doi.org/10.1063/5.0114242

Nurtanto, M., Sudira, P., Sofyan, H., Kholifah, N., & Triyanto, T. (2022). Professional identity of vocational teachers in the 21 st century in Indonesia. Journal of Engineering Education Transformations, 35(3), 30–36. https://doi.org/10.16920/jeet/2022/v35i3/22085

Nurtanto, M., Widjanarko, D., Sofyan, H., Rabiman, R., & Triyono, M. B. (2019). Learning by creating: Transforming automotive electrical textual material into visual animation as a creative learning products (clp). International Journal of Scientific and Technology Research, 8(10), 1634–1642. http://bit.ly/3Md5YfQ

Patmanthara, S., & Hidayat, W. N. (2018). Improving vocational high school students digital literacy skill through blended learning model. Journal of Physics: Conference Series, 1028, Article 012076. https://doi.org/10.1088/1742-6596/1028/1/012076

Pavlova, M. (2009). Technology and vocational education for sustainable development. Technology and Vocational Education for Sustainable Development. Springer Science Business Media B.V. https://doi.org/10.1007/978-1-4020-5279-8

Perdana, R., Jumadi, J., Rosana, D., & Riwayani, R. (2020). The online laboratory simulation with concept mapping and problem based learning (Ols-cmpbl): Is it effective in improving students’ digital literacy skills? Cakrawala Pendidikan, 39(2), 382–394. https://doi.org/10.21831/cp.v39i2.31491

Pereira, C. S., Durão, N., Fonseca, D., Ferreira, M. J., & Moreira, F. (2020). An educational approach for present and future of digital transformation in portuguese organizations. Applied Sciences, 10(3), Article 757. https://doi.org/10.3390/app10030757

Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. Handbook of Self-Regulation. https://doi.org/10.1016/b978-012109890-2/50043-3

Press, N., Arumugam, P. P., & Ashford-Rowe, K. (2019). Defining digital literacy: A case study of Australian universities. In Y. W. Chew, K. M. Chan & A. Alphonso (Eds.), 2019: ASCILITE 2019 Conference Proceedings: Personalised learning. Diverse goals. One heart (pp. 255-263). Singapore University of Social Science. https://doi.org/10.14742/apubs.2019.272

Purnama, S., Ulfah, M., Machali, I., Wibowo, A., & Narmaditya, B. S. (2021). Does digital literacy influence students’ online risk? Evidence from Covid-19. Heliyon, 7(6), Article e07406. https://doi.org/10.1016/j.heliyon.2021.e07406

Scherer, R., Howard, S. K., Tondeur, J., & Siddiq, F. (2021). Profiling teachers’ readiness for online teaching and learning in higher education: Who’s ready? Computers in Human Behavior, 118, Article 106675. https://doi.org/10.1016/j.chb.2020.106675

Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10–17. https://doi.org/10.1016/j.iheduc.2013.04.001

Shin, W. S., Han, I., & Kim, I. (2014). Teachers’ technology use and the change of their pedagogical beliefs in Korean educational context. International Education Studies, 7(8), 11–22. https://doi.org/10.5539/ies.v7n8p11

Summak, M. S., Baǧlibel, M., & Samancioǧlu, M. (2010). Technology readiness of primary school teachers: A case study in Turkey. Procedia - Social and Behavioral Sciences, 2(2), 2671–2675. https://doi.org/10.1016/j.sbspro.2010.03.393

Sutiman, Sofyan, H., Soenarto, Mutohhari, F., & Nurtanto, M. (2022). Students’ career decision-making during online learning: The mediating roles of self-efficacy in vocational education. European Journal of Educational Research, 11(3), 1669–1682. https://doi.org/10.12973/eu-jer.11.3.1669

Suwarto, D. H., Setiawan, B., & Machmiyah, S. (2022). Developing digital literacy practices in Yogyakarta elementary schools. Electronic Journal of E-Learning, 20(2), 101–111. https://doi.org/10.34190/ejel.20.2.2602

Taro, Y. (1967). Statistics: An introductory analysis (2nd ed.). Harper and Row.

Tejedor, S., Cervi, L., Pérez-Escoda, A., & Jumbo, F. T. (2020). Digital literacy and higher education during COVID-19 lockdown: Spain, Italy, and Ecuador. Publications, 8(4), Article 48. https://doi.org/10.3390/publications8040048

Ulum, H. (2022). The effects of online education on academic success: A meta-analysis study. Education and Information Technologies, 27, 429–450. https://doi.org/10.1007/s10639-021-10740-8

van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2020). Determinants of 21st-century skills and 21st-century digital skills for workers: A systematic literature review. SAGE Open, 10(1), 1–14. https://doi.org/10.1177/2158244019900176

Wagiran, W., Suharjana, S., Nurtanto, M., & Mutohhari, F. (2022). Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic. Heliyon, 8(10), Article e11160. https://doi.org/10.1016/j.heliyon.2022.e11160

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