THE ROLE OF TECHNOSTRESS AND DEMOGRAPHICS IN SHAPING TPACK-21 IN POST-PANDEMIC PUBLIC HIGH SCHOOLS IN SOUTHERN PHILIPPINES
Keywords:
TPACK-21, Demographic Variables, High School TeachersAbstract
This study investigated the relationship between technostress, 21st-century Technological Pedagogical and Content Knowledge (TPACK-21), and demographic variables among high school teachers in southern Bukidnon and Valencia City, Mindanao, Philippines, with 169 participants. Data was collected via a survey addressing demographic variables, technostress (Chen, 2018), and TPACK-21 (Valtonen at al., 2017), and analyzed using descriptive statistics, Pearson correlation, and multiple linear regression. Findings indicated moderate technostress levels with an average mean of 2.89, predominantly affecting teachers aged 30-39 and more females (57.4%). The teachers demonstrated a high level of TPACK-21 knowledge, with a grand mean of 3.97 across seven domains. Significant negative correlations were found between TPACK-21 variables and technostress, suggesting that increased TPACK-21 efficacy reduces technostress. Pedagogical Content Knowledge, Technological Content Knowledge, and Technological Pedagogical and Content Knowledge were key predictors, collectively explaining 69% of the variance in technostress. This insight suggests a need for DepEd administrators to revisit teacher training and implementation strategies to enhance teaching efficacy and manage technostress.
References
Agbayani, M. (2016). Socio-demographic attributes, Managerial skills, and empathy quotient of School Administrators: A structural Model on Leadership Competencies. Unpublished Dissertation. Central Mindanao University.
Agogo, D., & Hess, T. J. (2015). Technostress and technology induced state anxiety: Scale development and implications.
Ahmad, U. N. U., Amin, S. M., & Ismail, W. K. W. (2014). Moderating effect of Technostress inhibitors on the reltionship between Technostress creators and organisational commitment. Jurnal Teknologi (Social Sciences), 67(1), 51–62
Alanis, I., and Casa, M.M. (2018). Examining Bilingual Teacher Candidates' Use of Digital Media. DOI: 10.4018/978-1-5225-3955-1.ch012
Al-Jaro, M. S., Asmawi, A., and Hasim, Z. (2017). Content Analysis of the Pedagogical Content Knowledge in the Curriculum of Yemeni EFL Teacher Education Programme. Arab World English Journal, 8 (1). DOI: https://dx.doi.org/10.24093/awej/vol8no1.19
Amosun, M. D. and Kolawole, O. A. (2015). Pedagogical Knowledge and Skill Competences if Pre-School Teachers in Ibadan Metropolis, Oyo State, Nigeria. https://files.eric.ed.gov/fulltext/EJ1177147.pdf
Anud, E. (2022). Teaching Performance of Science Teachers in the New Normal and their Technological Pedagogical and Content Knowledge (TPACK) Self-efficacy. International Journal of Applied Science and Research, 5(4), 81-83
Anud, E. and Caro, V. (2022). Technological Pedagogical and Content Knowledge (TPACK) Self-efficacy and 21st Century Instructional Skills of Science Teachers in the New Normal. International Journal of Science and Research, 11(6), 1864-1866
Anoba, J. L. D., & Cahapay, M. B. (2020). The readiness of teachers on blended learning transition for post-COVID-19 period: An assessment using parallel mixed method. PUPIL: International Journal of Teaching, Education and Learning, 4(2), 295-316. https://doi.org/10.20319/pijtel.2020.42.295316
Aquino, A. (2015). Self-efficacy on Technological, Pedagogical and Content Knowledge (TPACK) of Biology Science Pre-service Teachers. Asia Pacific Journal of Multidisciplinary Research Vol.3 No.4, 150-157
Arain, A. A., Hussain, Z., Rizvi, W. H., & Vighio, M. S. (2018). An analysis of the influence of a mobile learning application on the learning outcomes of higher education students. Universal Access Information Society, 17(2), 325–334.
Aziz, N. N. A., & Yazid, Z. N. A. (2021). Exploratory Factor Analysis of Technostress among University Students. International Journal of Academic Research in Progressive Education and Development, 10(3), 152–158. https://doi.org/10.6007/ IJARPED/v10-i3/10396
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831–858
Balog,N.,(2018).Impacts of the Learning Environment on Developer’s Progress. https://www.codingdojo.com/blog/impacts-of-the-learning-nvironment
Bass, R. (2015). Technology, evaluation, and the visibility of teaching and learning. New Directions for Teaching and Learning.
Bayindir, N., & Inan, H.Z. (2017). The educational quality of the technology used in teacher training. World Applied Science Journal, 6(6), 855-860.
Berger, R., Romeo, M., Gidion, G., & Poyato, L. (2016). Media use and technostress, 7th- 9th March 2016. In Proceedings of INTED2016 conference
Bingimlas, K. A. (2009). Barriers to the successful integration of ICT in teaching and learning environments: A review of literature. Eurasia Journal of Mathematics, Science and Technology Education, 5(3), 235–245.
Brod, C. (1984). Technostress: The human cost of the computer revolution. Boston: Addison Wesley Publishing Company
Burton-Jones, A., & Hubona, G. S. (2015). Individual differences and usage behavior:
Revisiting a technology acceptance model assumption. ACM SIGMIS - Data Base, 36 (2), 58–77. https://doi.org/10.1145/1066149.1066155.
Cahapay, M. B., & Bangoc II, N. F. (2021, December 1). Technostress, Work Performance, Job Satisfaction, and Career Commitment of Teachers amid COVID-19 Crisis in the Philippines. IJERI: International Journal of Educational Research and Innovation, 16, 260–275. https://doi.org/10.46661/ijeri.6145
Chen, L. (2018). Validating the Technostress Instrument using a Sample of Chinese Knowledge Workers. Journal of International Technology and Information Management, 24(1), 66-81
Cho,M-H., & SHen,D. (2016). Self-regulation in online learning. Distance Education, 34(3),290-301.
Çoklar, A. N., & Sahin, Y. L. (2019). Technostress levels of social network users based on ICTS in Turkey. European Journal of Social Sciences, 23(2), 171–182
Dikmen, C. H. and Demirer, V. (2022). The role of technological pedagogical content knowledge and social cognitive variables in teachers’ technology integration behaviors, Participatory Educational Research (PER) https://doi.org/10.17275/per.22.46.9.2
Dong, Y., Xu, C., Chai, C. S., & Zhai, X. (2019). Exploring the structural relationship
among teachers’ technostress, technological pedagogical content knowledge (TPACK), computer self-efficacy and school Support. Asia-Pacific Edu Res. https:// doi.org/10.1007/s40299-019-00461-5, 2019.
Elam, C., Stratton, T., & Gibson, D. D. (2016). Welcoming a new generation to college: The Millennial students. Journal of College Admission, 21 - 25.
Ertmer, P. A., Ottenbreit-Leftwich, A. T., & Tondeur, J. (2014). Teachers’ beliefs and uses of technology to support 21st-century teaching and learning. In H. Fives & M. G. Gill (Eds.), International handbook of research on teachers’ beliefs (pp. 403-418). Routledge
Fuglseth, A. M., & Sorebo, O. (2014). The effects of technostress within the context of employee use of ICT. Computers in Human Behavior, 40, 161–170
Garrison, D.R. & Akyol, Z. (2017). The Inquiry. In M.G. Moore (Ed.), Handbook of Distance education
Graham, R., Burgoyne, N., Cantrell, P., Smith, L., St Clair, L., & Harris, R. (2019). Measuring the TPACK confidence of in service science teachers. TechTrends
Green, S. B. (1991). How many subjects does it take to do a regression analysis? Multivariate Behavioral Research, 26, 499‐510.
Haruk, N. (2019, March 5). The mediating role of coping behavior on the age-technostress relationship: A longitudinal multilevel mediation model. PLOS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0213349
Healey, D., Hegelheimer, V., Hubbard, P., Ioannou-Georgiou, S., Kessler, G., & Ware, P. (2018). Technology standards framework document. Alexandria, VA: TESOL
Heggart, K. (2016). How important is subject matter knowledge for a teacher? https://www.edutopia.org/discussion/how-important-subject-matter-knowledge-teacher
Henson, R. (2019). From adolescent angst to adulthood: Substantive implications and measurement dilemmas in the development of teacher efficacy research. Educational Psychologist, 37(3), 137–150.
Hew, K. F., & Brush, T. (2017). Integrating technology into K-12 teaching and learning: Current knowledge gaps and recommendations for future research. Educational Technology Research & Development, 55(3), 223–252
Hess, R. S. & Copeland, E. P. (2006). Stress. In Bear, G. G. & Minke, K. M. (ed.), Children’s needs III: Development, prevention, and intervention. Washington DC. 255-265.
Hsiao, K. L. (2017). Compulsive mobile application usage and technostress: The role of personality traits. Online Information Review, 41(2), 272–295. https://doi.org/ 10.1108/OIR-03-2016-0091.
Hsiao, K. L., Shu, Y., & Huang, T. C. (2017). Exploring the effect of compulsive social app usage on technostress and academic performance: Perspectives from personality traits. Telematics and Informatics, 34(2), 679–690. https://doi.org/10.1016/j. tele.2016.11.001.
Hur, J. W., Shannon, D., & Wolf, S. (2016). An investigation of relationships between
internal and external factors affecting technology integration in classrooms. Journal of Digital Learning in Teacher Education, 32(3), 105–114
Jang, S. & Chen, K. (2013). Development of an instrument to assess university students’ perceptions of their science instructors' TPACK. Journal of Modern Education Review, 3(10), 771-783
Jena, R. (2015). Technostress in ICT enabled collaborative learning environment: An empirical study among Indian academician. Computers in Human Behavior, 51, 1116–1123.
Johnson, A. M., Jacovina, M. E., Russell, D. E., & Soto, C. M. (2016). Challenges and solutions when using technologies in the classroom. In S. A. Crossley & D. S. McNamara (Eds.) Adaptive educational technologies for literacy instruction (pp. 13-29). New York: Taylor & Francis. Published with acknowledgment of federal support.
Joo, Y. J., Lim, K. Y., & Kim, N. H. (2016). The effects of secondary teachers’ technostress on the intention to use technology in South Korea. Computers & Education, 95, 114–122.
Kader, M. A. R. A., Abd Aziz, N.N., Zaki, S.M., Ishak, M. & Hazudin, S. F. (2022). The effect of technostress on online learning behaviour among undergraduates. Malaysian Journal of Learning & Instruction, 19(1), 183-211
Karataş, Fİ. (2015). An examination of in-service secondary mathematics teachers’ technological pedagogical content knowledge and their technology integration self-efficacy (M.S.thesis). Boğaziçi University, The Institute for Graduate Studies in Science and Engineering, Istanbul
Kathirveloo, P., Puteh, M. and Matematik, S. (2014). Effective Teaching: Pedagogical Content Knowledge. https://www.researchgate.net/publication/303940850_Effective_Teaching_Pedagogical_Content_Knowledge
Keser, H., Yılmaz, F. G. K., & Yılmaz, R. (2015). TPACK competencies and technology integration self-efficacy perceptions of pre-service teachers. Elementary Education Online, 14(4), 1193–1207.
Kim, M. C., & Hannafin, M. J. (2021). Scaffolding problem solving in technology-enhanced learning environments (TELEs): Bridging research and theory with practice. Computers & Education, 56(2), 403–417.
Koehler, M., & Mishra, P., (2008). Introducing TPCK.AACTE Committee on Innovation and Technology. The handbook of technological pedagogical content knowledge (TPCK) for education. Mahwah, NJ: Lawrence Erlbaum Associates
Koehler, M., Mishra, P., & Cain, W. (2013). What is Technological Pedagogical Content Knowledge (TPACK)? Journal of Education Vol. 193
Laspinas, M. L. (2015). Technostress: trends and challenges in the 21st century
knowledge management. European Scientific Journal, 11(2), 205 217.https://core.ac.uk/reader/328024750
Lumpe, A. T., & Chambers, E. (2017). Assessing teachers’ context beliefs about technology use. Journal of Research on Technology in Education, 34(1), 93–107.
Macaro, E., Handley, Z., & Walter, C. (2019). Focus on primary and secondary education
Macaro, E., Handley, Z., & Walter, C. (2012). A systematic review of CALL in Science: Focus on primary and secondary education. Teaching, 45(1),1–43.
Mahmud, Y. S., & German, E. (2021). Online self-regulated learning strategies amid a global pandemic: Insights from Indonesian university students. Malaysian Journal of Learning and Instruction, 18(2), 45-68. https://doi.org/10.32890/ mjli2021.18.2.2
Marchiori, D. M., Mainardes, E. W., & Rodrigues, R. G. (2019). Do individual
characteristics influence the types of technostress reported by workers? International Journal of Human-Computer Interaction, 35(3), 218–230. https://doi.org/10.1080/ 10447318.2018.1449713
Morris, M. G., Venkatesh, V., & Ackerman, P. L. (2015). Gender and age differences in employee decisions about new technology: An extension to the theory of planned behavior. IEEE Transactions on Engineering Management, 52(1), 69–84. https://doi. org/10.1109/TEM.2004.839967.
Nizami, N. (2015). Influence of Marital Status and Sex role orientation on women power. Journal of the Indian Academy of Applied Psychology, Vol.31, No.1-2, 29-36
Nut, J. (2018). Professional educators and the evolving role of ICT in schools: Perspective report. Retrieved Nov. 4, 2022 from http://www.ictliteracy.info/rf.pdf/ICTandSchools.pdf.
O’Bannon, B.W. & Puckett K. (2010). Preparing to use Technology: A practical guide to curriculum integration. Boston, MA: Pearson
Ongaki, N. (2015). Gender disparacies in education administration and management, national culture and ethnicity. Journal management in Planning, Vol.34 Issue 4, 421-439
Ongkiko, R. M. (2013). Bridging the Gap: Enhanced Basic Education through K-12
Özgür, H. (2020, November). Relationships between teachers’ technostress, technological pedagogical content knowledge (TPACK), school support and demographic variables: A structural equation modeling. Computers in Human Behavior, 112, 106468. https://doi.org/10.1016/j.chb.2020.106468
Parham J. (2018). Influence of Assertiveness: Gender disparities in Education administration and management in Kenya. Journal for studies in Management in Planning, Vol.1, No.4
Patorai, P. (2016). Instructional resources, emotional competencies, and academic stress: a causal model on teachers’ performance. Central Mindanao University
Pennock, R. (2001). Intelligent design creationism and its critics. Cambridge, MA: MIT Press
Prensky, M. (2011). Digital natives, digital immigrants part 1. On the Horizon, 9(5), 1–6.
Rice, K.L. (2018). A comprehensive look at distance education in the K-12 context. Journal of Research on Technology in Education, 38(4), 425-448.
Rodriguez, R. (2021). New normal transition: Senior high school teachers’ percipience on its ways and challenges. International Multidisciplinary Research Journal, 3(2), 198–208. https://doi.org/10.54476/iimrj301
Salanova, M., Llorens, S., & Cifre, E. (2018). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436
San Buenaventura, Patricia Anne R. (2019). Education Equality in the Philippines. International Workshop on Data Disaggregation for the Sustainable Development Goals.
Tarafdar, M., D’Arcy, J., Turel, O., & Gupta, A. (2015). The dark side of information technology. MIT Sloan Management Review, 56(2), 61–70
Valtonen, T., Sointu, E., Siegl, K., and Kukkonen (2017) TPACK Updated to measure pre-service teachers’ twenty-first century skills. Australian Journal of Educational Technology,33(3)
Vannatta, R. A., & Nancy, F. (2004). Teacher dispositions as predictors of classroom technology use. Journal of Research on Technology in Education, 36(3), 253–271.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.1111/j.1540- 4560.1981.tb02627.x.
Wilson VanVoorhis & Morgan (2007). Tutorials in Quantitative Methods for Psychology. Vol. 3(2), p43-50. Doi:10.20982/tqmp.03.0. p043
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