Using computer simulations in science education can facilitate the achievement of several
educational objectives, including a thorough grasp of scientific concepts and an understanding
of the scientific method. This research aimed to evaluate the extent of rural science educators’
technology integration self-efficacy when using simulations in teaching. The research was guided
by Bandura’s (1986) social cognitive theory and focused on four key influencers of self-efficacy in
educators: enactive mastery experience, vicarious experience, verbal persuasion, and affective
state. The study’s demographic was all science educators in a rural district, with participants
selected through convenience sampling. The survey instrument’s reliability and validity were
established through exploratory and confirmatory factor analyses. The outcomes indicated that
the science educators possessed a high level of self-efficacy in integrating technology through
simulations, with no notable differences based on gender or education level. There was a
statistically significant effect of teaching experience and school socioeconomic factors on the
educators’ technology integration self-efficacy.
REFERENCES(53)
1.
Adams, N. B. (2002). Educational computing concerns of postsecondary faculty. Journal of Research on Technology in Education, 34(3), 285-303. https://doi.org/10.1080/153915....
Akiri, E., & Dori, Y. J. (2022). Professional growth of novice and experienced STEM teachers. Journal of Science Education and Technology, 31(1), 129-142. https://doi.org/10.1007/s10956....
Alibakhshi, G., Nikdel, F., & Labbafi, A. (2020). Exploring the consequences of teachers’ self-efficacy: A case of teachers of English as a foreign language. Asian-Pacific Journal of Second and Foreign Language Education, 5(1), Article 23. https://doi.org/10.1186/s40862....
Bandura, A. (2011). A social cognitive perspective on positive psychology. International Journal of Social Psychology, 26(1), 7-20. https://doi.org/10.1174/021347....
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), Article 588. https://doi.org/10.1037//0033-....
Bo, W. V., Fulmer, G. W., Lee, C. K.-E., & Chen, V. D.-T. (2018). How do secondary science teachers perceive the use of interactive simulations? The affordance in Singapore context. Journal of Science Education and Technology, 27, 550-565. https://doi.org/10.1007/s10956....
Boeve-De Pauw, J., De Loof, H., Walan, S., Gericke, N., & Van Petegem, P. (2022). Teachers’ self-efficacy and role when teaching STEM in high-tech informal learning environments. Research in Science & Technological Education, 42(2), 255-275. https://doi.org/10.1080/026351....
Daya, A., & Laher, S. (2020). Exploring the influence of educators’ access to and attitudes towards educational technology on the use of educational technology in Johannesburg schools. Africa Education Review, 17(1), 159-180. https://doi.org/10.1080/181466....
de la Fuente, J., Kauffman, D. F., & Boruchovitch, E. (2023). Past, present and future contributions from the social cognitive theory (Albert Bandura). Frontiers in Psychology, 14, Article 1258249. https://doi.org/10.3389/fpsyg.....
Demir, K., & Ellett, C. D. (2014). Science teacher self-efficacy beliefs, change processes, and professional development. In R. Evans, J. Luft, C. Czerniak, & C. Pea (Eds.), The role of science teachers’ beliefs in international classrooms (pp. 179-190). Brill. https://doi.org/10.1007/978-94....
Department of Basic Education. (2011). Curriculum and assessment policy statement grades 10-12 physical sciences. Department of Basic Education. https://www.education.gov.za/L....
Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297-316. https://doi.org/10.25300/misq/....
Dogan, S., Dogan, N. A., & Celik, I. (2021). Teachers’ skills to integrate technology in education: Two path models explaining instructional and application software use. Education and Information Technologies, 26, 1311-1332. https://doi.org/10.1007/s10639....
Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452. https://doi.org/10.1177/002224....
Groß, T. (2021). Validity and reliability of the scale internet users’ information privacy concerns (IUIPC). In Proceedings of the Privacy Enhancing Technologies Symposium. https://doi.org/10.2478/popets....
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/ebr-11....
Hamutoğlu, N. B., & Başarmak, U. (2020). External and internal barriers in technology integration: A structural regression analysis. Journal of Information Technology Education: Research, 19, 17-40. https://doi.org/10.28945/4497.
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....
Hu, L.-t., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), Article 424. https://doi.org/10.1037//1082-....
Inan, F. A., & Lowther, D. L. (2010). Factors affecting technology integration in K-12 classrooms: A path model. Educational Technology Research and Development, 58, 137-154. https://doi.org/10.1007/s11423....
Jere, S., & Mpeta, M. (2024). Evaluation of pre-service teachers’ digital competence in Limpopo Province, South Africa. Ebangi Journal of Social Sciences and Humanities, 21(1), 314-325. https://doi.org/10.17576/ebang....
Kennedy, A. (2005). Models of continuing professional development: A framework for analysis. Journal of In-Service Education, 31(2), 235-250. https://doi.org/10.1080/136745....
Khourey-Bowers, C., & Simonis, D. G. (2004). Longitudinal study of middle grades chemistry professional development: enhancement of personal science teaching self-efficacy and outcome expectancy. Journal of Science Teacher Education, 15(3), 175-195. https://doi.org/10.1023/b:jste....
Kwon, K., Ottenbreit-Leftwich, A. T., Sari, A. R., Khlaif, Z., Zhu, M., Nadir, H., & Gok, F. (2019). Teachers’ self-efficacy matters: Exploring the integration of mobile computing device in middle schools. TechTrends, 63, 682-692. https://doi.org/10.1007/s11528....
Lakshmanan, A., Heath, B. P., Perlmutter, A., & Elder, M. (2011). The impact of science content and professional learning communities on science teaching efficacy and standards-based instruction. Journal of Research in Science Teaching, 48(5), 534-551. https://doi.org/10.1002/tea.20....
Lumpe, A., Vaughn, A., Henrikson, R., & Bishop, D. (2014). Teacher professional development and self-efficacy beliefs. In R. Evans, J. Luft, C. Czerniak, & C. Pea (Eds.), The role of science teachers’ beliefs in international classrooms (pp. 49-63). Brill. https://doi.org/10.1007/978-94....
Makopoulou, K., Neville, R. D., Ntoumanis, N., & Thomas, G. (2021). An investigation into the effects of short-course professional development on teachers’ and teaching assistants’ self-efficacy. Professional Development in Education, 47(5), 780-795. https://doi.org/10.1080/194152....
Marsh, H. W., & Balla, J. (1994). Goodness of fit in confirmatory factor analysis: The effects of sample size and model parsimony. Quality and Quantity, 28(2), 185-217. https://doi.org/10.1007/bf0110....
Masango, M. M., Van Ryneveld, L., & Graham, M. A. (2019). Electronic textbooks in Gauteng public schools: Pros and cons. International Journal of Information and Communication Technology Education, 15(4), 41-57. https://doi.org/10.4018/ijicte....
McElhaney, K. W., Chang, H.-Y., Chiu, J. L., & Linn, M. C. (2015). Evidence for effective uses of dynamic visualisations in science curriculum materials. Studies in Science Education, 51(1), 49-85. https://doi.org/10.1080/030572....
Morris, D. B., Usher, E. L., & Chen, J. A. (2017). Reconceptualizing the sources of teaching self-efficacy: A critical review of emerging literature. Educational Psychology Review, 29, 795-833. https://doi.org/10.1007/s10648....
Olsson, U. H., Foss, T., Troye, S. V., & Howell, R. D. (2000). The performance of ML, GLS, and WLS estimation in structural equation modeling under conditions of misspecification and nonnormality. Structural Equation Modeling, 7(4), 557-595. https://doi.org/10.1207/s15328....
Padayachee, K. (2017). A snapshot survey of ICT integration in South African schools. South African Computer Journal, 29(2), 36-65. https://doi.org/10.18489/sacj.....
Ross, J., & Bruce, C. (2007). Professional development effects on teacher efficacy: Results of randomized field trial. The Journal of Educational Research, 101(1), 50-60. https://doi.org/10.3200/joer.1....
Russell, M., Bebell, D., O’Dwyer, L., & O’Connor, K. (2003). Examining teacher technology use Implications for preservice and in-service teacher preparation. Journal of Teacher Education, 54(4), 297-310. https://doi.org/10.1177/002248....
Šabić, J., Baranović, B., & Rogošić, S. (2022). Teachers’ self-efficacy for using information and communication technology: The interaction effect of gender and age. Informatics in Education, 21(2), 353-373. https://doi.org/10.15388/infed....
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of market research (pp. 587-632). Springer. https://doi.org/10.1007/978-3-....
Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Achér, A., Fortus, D., Shwartz, Y., Hug, B., & Krajcik, J. (2009). Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching, 46(6), 632-654. https://doi.org/10.1002/tea.20....
Smetana, L. K., & Bell, R. L. (2012). Computer simulations to support science instruction and learning: A critical review of the literature. International Journal of Science Education, 34(9), 1337-1370. https://doi.org/10.1080/095006....
Tachie, S. A. (2020). The challenges of South African teachers in teaching Euclidean geometry. International Journal of Learning, Teaching and Educational Research, 19(8), 297-312. https://doi.org/10.26803/ijlte....
Tsoka, M., Kriek, J., & Seo, B. (2023). A South African rural teacher’s experience with technological pedagogical reasoning. Critical Questions in Education, 14(2), 140-157.
Watkins, M. W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3), 219-246. https://doi.org/10.1177/009579....
White, C., & Van Dyk, H. (2019). Theory and practice of the Quintile ranking of schools in South Africa: A financial management perspective. South African Journal of Education, 39(1), S1-S19. https://doi.org/10.15700/saje.....
Wu, H. K., & Huang, Y. L. (2007). Ninth-grade student engagement in teacher-centered and student-centered technology-enhanced learning environments. Science Education, 91(5), 727-749. https://doi.org/10.1002/sce.20....
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