SCHOOL CLIMATE, LEADERSHIP COMPETENCY, AND SELF-EFFICACY IN TECHNOLOGY AMONG TEACHERS: A PATH MODEL ON ATTITUDE TOWARDS TECHNOLOGY IN PUBLIC ELEMENTARY SCHOOLS

Cerilo Jr. F. Espinosa, Lyndon A. Quines

Abstract


This study was conducted to determine the best-fit path model for attitude towards technology among public elementary school teachers in Region XII, Philippines, as estimated by school climate, leadership competency and self-efficacy in technology. The study used a quantitative, non-experimental research design using correlation and path analysis. A total of 400 elementary teachers from Sarangani, General Santos, Koronadal and South Cotabato Divisions were surveyed using the Raosoft sample size calculator and stratified random sampling technique. Mean, Pearson r and path analysis were used as statistical tools. Moreover, adapted, modified, and validated survey questionnaires were used to gather pertinent data. Findings revealed a very high level of school climate, leadership competency and self-efficacy in technology. Consequently, the level of attitude toward technology among the public-school elementary teachers was rated high. Further, significant correlations were found between school climate and attitude towards technology; leadership competency and attitude towards technology, and self-efficacy in technology and attitude towards technology. Moreover, results showed that Model 3 came out as the best-fit path model. The model showed that school climate, leadership competency, and technology self-efficacy directly affect the attitude toward technology among public elementary school teachers. This implies that the Department of Education should prioritize enhancing school climate, leadership development, and technology training programs as these factors significantly influence teachers' technological acceptance.

 

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educational management, school climate, leadership competency, self-efficacy in technology, attitude towards technology, path analysis, DepEd teachers, Region XII, Philippines

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Aldridge, J. M., & Fraser, B. J. (2019). Teachers’ views of their school climate and its relationship with teacher self-efficacy and job satisfaction. Learning Environments Research, 19(2), 291–307. https://doi.org/10.1007/s10984-015-9198-x

Alhatmi, Y. (2019). Sample size determination. In Y. Alhatmi (Ed.), Functional foods and nutraceuticals (pp. 57-63). IntechOpen. Retrieved from https://link.springer.com/book/10.1007/978-1-4614-3480-1

A’mar, F., & Eleyan, D. (2022). Effect of principal’s technology leadership on teacher’s technology integration. International Journal of Instruction, 15(1), 781-798. Retrieved from https://eric.ed.gov/?id=EJ1331162

Anderson, R. E., & Lin, H.-C. (2020). Emerging digital natives: A case study of Chinese college students' attitudes toward digital technology. International Journal of Educational Methodology, 6(1), 101-114.

Anderson, S., Groulx, J., & Maninger, R. (2022). Technology leadership and student achievement: The role of school culture. Journal of Educational Administration, 60(2), 170-187.

Ascorra, P., Álvarez-Figueroa, F., & Queupil, J. P. (2019). Managing school climate issues at the school district level: A comprehensive review of the literature. Universitas Psychologica, 18(5), 1-13. https://doi.org/10.11144/Javeriana.upsy18-5.msci

Bastasa, J. L., & Guhao Jr, E. S. (2024). Principal leadership, political skills and teacher empowerment: a path model analysis on school climate among public schools. European Journal of Education Studies, 11(11). Retrieved from https://oapub.org/edu/index.php/ejes/article/download/5576/8207

Bongcayat, J. T., & Guhao Jr, E. S. (2020). Structural equation model on work engagement of non-teaching personnel in public secondary schools. Review of Integrative Business and Economics Research, 9, 259-316. Retrieved from https://buscompress.com/uploads/3/4/9/8/34980536/riber_9-s2_41_h19-059_259-316.pdf

Celep, C., & Tülübaş, T. (2014). Effect of principals’ technological leadership on teachers’ attitude towards the use of educational technologies. In Key Competencies in ICT and Informatics. Implications and Issues for Educational Professionals and Management: IFIP WG 3.4/3.7 International Conferences, KCICTP and ITEM 2014, Potsdam, Germany, July 1-4, 2014, Revised Selected Papers (pp. 247-258). Springer Berlin Heidelberg. Retrieved from https://link.springer.com/chapter/10.1007/978-3-662-45770-2_21

Christensen, R., & Knezek, G. (2015, October). The technology proficiency self-assessment questionnaire (TPSA): Evolution of a self-efficacy measure for technology integration. In Proceedings of the KEYCIT2014: Key Competencies in Informatics and ICT Conference, KEYCIT, Potsdam (pp. Russian Education & Society, 60(2), 133-160. Retrieved from https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/deliver/index/docId/8283/file/cid07_S311-318.pdf

Cho, V., Jimerson, J. B., & Wayman, J. C. (2022). Student-Centered Technology Integration: Teacher Practices and Attitudes for Meaningful Technology Uses. Teachers College Record, 124(1), 1–42. 311-318.

Clipa, O., Delibas, C. S., & Mâță, L. (2023). Teachers’ Self-Efficacy and Attitudes towards the Use of Information Technology in Classrooms. Education Sciences, 13(10), https://doi.org/10.3390/educsci13101001

Courduff, J., Siamos Wayman, L., & Stringfield, S. (2022). Technology leaders in complex school environments. Journal of Research on Technology in Education, 54(sup1), S157-S180.

Creswell, J. W., & Guetterman, T. C. (2023). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (7th ed.). Pearson. Retrieved from https://www.researchgate.net/publication/324451568_Educational_Research_Planning_Conducting_and_Evaluating_Quantitative_and_Qualitative_Research_6th_Edition

Del Valle, J. M., & Guhao Jr, E. S. (2024). Constructivist learning environment management, metacognitive awareness and epistemological beliefs: a structural equation model on academic success of students in public senior high schools. European Journal of Education Studies, 11(7). http://dx.doi.org/10.46827/ejes.v11i7.5424

Efeoğlu, C., & Çoruk, A. (2019). The relationship between teachers’ attitudes towards educational technologies and school administrators’ technology leadership roles. International Journal of Human and Behavioral Science, 5(2), 73-82. Retrieved from http://dx.doi.org/10.19148/ijhbs.651095

Ekore, J. O., & Okekeocha, C. M. (2022). Social media usage and academic performance among undergraduates in selected Nigerian universities. Library Philosophy and Practice, 1-19.

Ersoy, M., & Kavaklioglu, O. (2020). Attitudes of Turkish secondary school teachers towards technology. Research in Pedagogy, 10(2), 324-337. Retrieved from https://eric.ed.gov/?id=EJ1285704

Ferrando, C., & Guhao, E. (2024). Ethical climate, charismatic leadership of school heads and teachers’ sense of self-efficacy: A structural equation model on teacher engagement. Psychology and Education: A Multidisciplinary Journal, 20(2), 171-187. https://doi.org/10.5281/zenodo.11243541

Fredeluces, S. M. A., Garcia, N. P., & Quines, L. A. (2023). Extent of utilization of paperless technology: basis for a proposed intervention program. European Journal of Education Studies, 10(7). http://dx.doi.org/10.46827/ejes.v10i7.4903

Guhao Jr, E. S., & Sioting Jr, R. N. (2023). Organizational trust, teachers' self-efficacy and school culture: a structural equation model on professional learning communities among public elementary schools in Region XII. European Journal of Education Studies, 10(6). http://dx.doi.org/10.46827/ejes.v10i6.4855

Guhao, E. (2019). Organizational commitment of public-school teachers: A structural equation modeling analysis. Malaysian Online Journal of Educational Management, Volume 7, Issue 1, 57.

Gürfidan, H., & Koç, M. (2020). The impact of school culture, technology leadership, and support services on teachers’ technology integration: A structural equation model. Education and Information Technologies, 25(5), 4353-4376. http://dx.doi.org/10.15390/EB.2016.6722

Hou, M., Lin, Y., Shen, Y., & Zhou, H. (2022). Explaining pre-service teachers’ intentions to use technology-enabled learning: An extended model of the theory of planned behavior. Frontiers in Psychology, 13, https://doi.org/10.3389/fpsyg.2022.900806

Hsu, P. S. (2020). Examining educators’ technological pedagogical content knowledge for integrating augmented reality in learning. Journal of Computers in Education, 7(2), 171-186.

Iliyasu, R., & Etikan, I. (2021). Comparison of quota sampling and stratified random sampling. Biom. Biostat. Int. J. Rev, 10(1), 24-27. https://doi.org/10.15406/bbij.2021.10.00326

Johnson, A. M. (2022). The influence of technology leadership and school climate on teacher attitudes towards classroom technology integration. Journal of Educational Technology, 18(3), 142-158.

Johnson, B., Stevens, J. J., & Zvoch, K. (2007). Teachers' perceptions of school climate: A validity study of scores from the Revised School Level Environment Questionnaire. Educational and psychological measurement, 67(5), 833-844. http://dx.doi.org/10.1177/0013164406299102

Kao, C. P., Wu, Y. T., Chang, Y. Y., Chien, H. M., & Mou, T. Y. (2020). Understanding web-based professional development in education: The role of attitudes and self-efficacy in predicting teachers’ technology-teaching integration. The Asia-Pacific Education Researcher, 29, 405-415.

Kilinc, E., Kilinc, S., Kaya, M., Başer, E., Türküresin, H. E., & Kesten, A. (2016). Teachers' attitudes toward the use of technology in social studies teaching. Research in Social Sciences and Technology, 1(1). http://dx.doi.org/10.46303/ressat.01.01.3

Koehler, M. J. & Mishra, P. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108(6). Retrieved from https://one2oneheights.pbworks.com/f/MISHRA_PUNYA.pdf

Koh, J. H. L., Chai, C. S., & Tsai, C. C. (2021). Examining teachers' technology use in relation to their beliefs, attitudes, and practices: A multi-level analysis. Research and Practice in Technology Enhanced Learning, 16(1), 1-19.

Lee, J., Lee, Y., Guan, C., Huan, Z., & Lee, H. J. (2019). Factors influencing teachers' intention to use robots in inclusive STEM education. Technology, Knowledge and Learning

Mamun, A. Al. (2022). Factors impacting teachers’ adoption of mobile technology in Bangladesh. Education and Information Technologies, 27(1), 63–93. http://dx.doi.org/10.28945/1970

McLeod, S., & Richardson, J. W. (2019). School administrators’ technology leadership: How it is enacted through technological pedagogical reasoning. Journal of Research on Leadership Education, 14(3), 169-194.

Miraflor, D. A., & Lyndon, A. Q. (2022). The Mediating Effect of Teachers’ Self-Efficacy on the Relationship Between Authentic Leadership and Work Engagement Among Public School Teachers. American Journal of Multidisciplinary Research and Innovation, 1(5), 53-68. http://dx.doi.org/10.54536/ajmri.v1i5.799

Mohsen, S. M., & Reg, D. (2022). Cronbach Alpha Reliability Coefficient for Likert Scales. SHAMS Journal of Economics, Management and Marketing, 3(1), 81-88.

Mueller, R. O., & Hancock, G. R. (2022). Structural equation modeling: A second course (3rd ed.). Information Age Publishing. Retrieved from https://psycnet.apa.org/record/2014-01991-000

Nailufar, R., Imaddudin, S., & Muttaqin, R. Z. (2023). The principal’s role in implementing digital literacy in school. In Proceeding of International Conference on Education, Society and Humanity, Vol. 1, No. 1, pp. 524-532. https://ejournal.unuja.ac.id/index.php/icesh/article/view/6018

Pallant, J. (2022). SPSS statistics for research groups (5th ed.). Routledge. https://doi.org/10.4324/9781003117452

Pan, X. (2020). Technology acceptance, technological self-efficacy, and attitude toward technology-based self-directed learning: learning motivation as a mediator. Frontiers in Psychology, 11, https://doi.org/10.3389/fpsyg.2020.564294.

Peters, J. M. (2020). Understanding the relationship between technology leadership skills and teacher attitudes about classroom technology integration. International Journal of Leadership in Education, 23(4), 465-480.

Quines, L. A., & Cabaron, I. M. P. (2022). The mediating effect of affective commitment on the relationship between faculty spirituality and school climate. European Journal of Education Studies, 9(11). Retrieved from http://dx.doi.org/10.46827/ejes.v9i11.4519

Quines, L. A., & Monteza, M. T. (2023). The mediating effect of teacher collegiality on the relationship between instructional leadership and professional development of teachers. European Journal of Education Studies, 10(3). Retrieved from http://dx.doi.org/10.46827/ejes.v10i3.4716

Quines, L. A., & Pablo Jr, R. V. (2023). The mediating effect of general self-efficacy on the relationship between transformational leadership of school heads and organizational commitment of teachers. European Journal of Education Studies, 10(5). Retrieved from http://dx.doi.org/10.46827/ejes.v10i5.4771

Quines, L. A., & Relacion, M. C. D. (2022). The mediating effect of school climate on the relationship between teacher communication behavior and student engagement. European Journal of Education Studies, 9(11). Retrieved from http://dx.doi.org/10.46827/ejes.v9i11.4521

Raygan, A., & Moradkhani, S. (2022). Factors influencing technology integration in an EFL context: investigating EFL teachers’ attitudes, TPACK level, and educational climate. Computer Assisted Language Learning, 35(8), 1789-1810. https://doi.org/10.1080/09588221.2020.1839106

Richardson, J. W., Nash, J., & Flora, K. (2020). Unsystematic technology adoption in education. Journal of Research on Technology in Education, 52(2), 216-235. Retrieved from https://www.researchgate.net/publication/283152081_Unsystematic_technology_adoption_in_Cambodia_Students'_perceptions_of_computer_and_Internet_use

Scherer, R., Tondeur, J., Siddiq, F., & Baran, E. (2019). The importance of attitudes toward technology for pre-service teachers' technological, pedagogical, and content knowledge: Comparing structural equation modeling approaches. Computers in Human Behavior, 94, 95-105. https://doi.org/10.1016/j.chb.2017.11.003

Shyr, W. J. (2017). Developing the principal technology leadership competency indicators for technical high schools in K-12 in Taiwan. Eurasia Journal of Mathematics, Science and Technology Education, 13(6), 2085-2093. Retrieved from https://www.ejmste.com/download/developing-the-principal-technology-leadership-competency-indicators-for-technical-high-schools-in-4760.pdf

Siddiq, F. (2022). Measuring teachers' attitudes toward technology: A longitudinal study. Computers & Education, 176, 104352

Siyam, N. (2019). Factors impacting special education teachers' acceptance and actual use of technology. Education and Information Technologies, 24(3), 2109-2132. https://doi.org/10.1007/s10639-018-09859-y

Smith, A. (2021). Global trends in teacher attitudes towards educational technology. International Journal of Instructional Technology, 8(2), 17-23.

Smith, J., Jones, R., & Johnson, A. (2021). The relationship between technology leadership and teacher attitudes: The mediating role of self-efficacy and value beliefs. Journal of Educational Technology and Society, 24(3), 152-165.

Tondeur, J., Gille, E., McKenzie, A., van Braak, J., Siddiq, F., & Scherer, R. (2021). Towards an understanding of the components of an effective professional development program for technology integration. Technology, Pedagogy and Education, 30(1), 61-75.

Torrato, J. B., Prudente, M. S., & Aguja, S. E. (2020, January). Technology integration, proficiency and attitude: Perspectives from grade school teachers. In Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (pp. 70-75). https://doi.org/10.1145/3377571.3377624

Varier, D., Dumke, E. K., Abrams, L. M., Conklin, S. B., Barnes, J. S., & Hoover, N. R. (2022). Potential of a community of practice model for developing rural K-12 technology leaders. Journal of Research in Rural Education, 38(1), 1-16.

Voogt, J., Knezek, G., Christensen, R., & Lai, K. W. (2018). Developing an understanding of the impact of digital transformation on teaching and learning in secondary education. EdMedia+ Innovate Learning, 2018(1), 2027-2034. https://link.springer.com/referenceworkentry/10.1007/978-3-319-53803-7_113-1

Wang, C., Pollock, K., & Hauseman, D. C. (2023). School climate and social-emotional learning: A systematic review. Educational Psychology Review. Advance online publication.

Williams, A., Gomez Grajales, C., & Kurkiewicz, D. (2020). Assumptions in statistical sampling. Journal of Applied Business Research, 36(4), 173-182.

Yot-Domínguez, C., & Marcelo, C. (2019). University students’ self-regulated learning using digital technologies. International Journal of Educational Technology in Higher Education, 16(1), 1–28. Retrieved from https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-017-0076-8

Yusop, F. D., & Budiman, A. R. (2023). Technological pedagogical content knowledge self-efficacy: Systematic review of measurement tools. International Journal of Evaluation and Research in Education, 12(1), 234-246.




DOI: http://dx.doi.org/10.46827/ejes.v12i2.5828

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