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The Role of Computer Self-Efficacy and E-Learning Readiness Mediated with Technostress in Teacher Professional Competence | ||
School Administration | ||
مقاله 8، دوره 12، شماره 2، مهر 2024، صفحه 107-121 اصل مقاله (398.5 K) | ||
نوع مقاله: Quantitative Research Paper | ||
شناسه دیجیتال (DOI): 10.22034/jsa.2024.141424.2524 | ||
نویسندگان | ||
Maryam Ostad Rahimi* 1؛ Sakineh Jafari2؛ Ali Akbar Amin Bidokhti3 | ||
1Phd Student, Educational Management, Faculty of Educational Sciences and Psychology, Semnan University, Semnan, Iran. | ||
2Associate Professor, Department of Educational Management, Faculty of Educational Sciences and Psychology, Semnan University, Semnan, Iran | ||
3Professor, Department of Educational Management, Faculty of Educational Sciences and Psychology, Semnan University, Semnan, Iran | ||
چکیده | ||
With the increasing popularity of virtual education following the COVID-19 pandemic and the advancement of technology in education, new opportunities and challenges have entered the realm of education. So it is necessary to pay attention to the preparation of schools for this type of learning as well as the self-efficacy of teachers in using information and Communication technology (ICT) skills and the stress they experience in using technology in their jobs. The aim of the study was to investigate the role of Computer Self-Efficacy and E-Learning Readiness Mediated with Technostress in Teacher Professional Competence. This study was applied in terms of goal and fell under descriptive-correlational research in terms of data collection. The statistical population consisted of all teachers of Tehran’s District 15 working at high school levels from 2021 to 2022 (675 people), as 194 people were selected through convenience sampling. In order to collect data from Technostress and Computer Self-Efficacy questionnaire (Dong et al., 2020); E-learning Readiness questionnaire (Keramati et al., 2011); and Teacher Professional Competence questionnaire (Motahhari-Nezhad & Jahangard, 2016) were used. After calculating the scales’ reliability, data were analyzed by SPSS and LISREL Software. The results showed that: computer self-efficacy and e-learning readiness had a direct, positive and significant effect on teacher professional competence. computer self-efficacy and e-learning readiness had a positive and significant indirect effect on teacher professional competence through technostress. Also technostress had a direct, negative and significant effect on teacher professional competence. | ||
کلیدواژهها | ||
Electronic-learning readiness؛ virtual education؛ technostress؛ computer self-efficacy؛ teacher professional competence | ||
مراجع | ||
References
Abdollahi, B., Dadjooye Tavakkoli, A., & Ali Youseliani, G. (2014). Identification and validation of effective teachers’ professional competence. Educational Innovations, 13(1), 25-48.
Abkarin, N. A. (2021). The analysis of teachers’ professional competence in utilizing information and communication technology. In ELT Forum: Journal of English Language Teaching, 10(2), 125-135.
Aboltiņa, L., Lāma, G., Sarva, E., Kaļķe, B., Aboliņa, A., Daniela, L., ... & Bernande, M. (2024). Challenges and opportunities for the development of future teachers’ professional competence in Latvia. In Frontiers in Education, 8, 1-9.
Aktag, I. (2015). Computer self-efficacy, computer anxiety, performance and personal outcomes of Turkish physical education teachers. Educational Research and Reviews, 10(3), 328-337.
Al-Rikabi, Y. K., & Montazer, G. A. (2024). Designing an e-learning readiness assessment model for Iraqi universities employing Fuzzy Delphi Method. Education and Information Technologies, 29(2), 2217-2257.
Asmarani, A., Sukarno, S., & El Widdah, M. (2021). The Relationship of Professional Competence with Teacher Work Productivity in Madrasah Aliyah. Nidhomul Haq: Journal Manajemen Pendidikan Islam, 6(2), 220-235.
Atstsaury, S., Hadiyanto, H., & Supian, S. (2024). Principal’s Strategy to Improve Teachers Professional Competence. Munaddhomah: Journal Manajemen Pendidikan Islam, 5(1), 1-10.
Ballova Mikuškova, E., Veresova, M., & Gatial, V. (2024). Antecedents of teachers’ professional competencies. Cogent Education, 11(1), 2286813.
Bandura, A. (1997). Self-Efficacy in v. s. Ramachaudran (Ed), Encyclopedia of human behavior, 4, 71-81.
Chao, R. J., & Chen, Y. H. (2009). Evaluation of the criteria and effectiveness of distance e-learning with consistent fuzzy preference relations. Expert Systems with Applications, 36(7), 10657-10662.
Chou, H. L., & Chou, C. (2021). A multigroup analysis of factors underlying teachers’ technostress and their continuance intention toward online teaching. Computers & Education, 175, 104335.
Çoklar, A. N., Efilti, E., & Sahin, L. (2017). Defining Teachers' Technostress Levels: A Scale Development. Online Submission, 8(21), 28-41.
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 32(2), 145-158.
Delpechitre, D., Black, H. G., & Farrish, J. (2018). The dark side of technology: examining the impact of technology overload on salespeople. Journal of Business & Industrial Marketing, 34(1), 1-18.
Dewi, R., & Singh, P. (2022). The Effect of Academic Supervision and Teacher Professional Competence on Teacher Performance. PPSDP International Journal of Education, 1(1), 122-131.
Dibaei-Saber, M. (2017). Analysis of the relationship between the development of professional competence of middle school teachers and their effectiveness in the teaching-learning process of students. New Strategies For Teacher Education, 4(6), 1-23.
Dong, Y., Xu, C., Chai, C. S., & Zhai, X. (2020). Exploring the structural relationship among teachers’ technostress, technological pedagogical content knowledge (TPACK), computer self-efficacy, and school support. The Asia-Pacific Education Researcher, 29(2), 147-157.
Durndell, A., & Haag, Z. (2002). Computer self-efficacy, computer anxiety, attitudes towards the Internet, and reported experience with the Internet, by gender, in an East European sample. Computers in human behavior, 18(5), 521-535.
Gallagher, D. K. (2007). Learning styles, self-efficacy, and satisfaction with online learning: Is online learning for everyone? (Doctoral dissertation, Bowling Green State University).
Gaudioso, F., Turel, O., & Galimberti, C. (2016). Explaining work exhaustion from a coping theory perspective: Roles of techno-stressors and technology-specific coping strategies. Annual Review of Cybertherapy and Telemedicine, 2019, 14-20.
Goh, P. S. C., Loy, C. L., Wahab, N. A., & Raja Harun, R. N. S. (2020). Preschool teachers’ use of English as a medium of instruction: A systematic review of barriers and strategies. Issues in Educational Research, 30(3), 943–964.
Goni, J., Cortazar, C., Alvares, D., Donoso, U., & Miranda, C. (2020). Is teamwork different online versus face-to-face? A Case in Engineering Education. Sustainability, 12(24), 1-8.
Hakim, A. (2015). Contribution of competence teacher (pedagogical, personality, professional competence, and social) on the performance of learning. The International Journal of Engineering and Science, 4(2), 1-12.
Hariri, H., Thobi, M., Sowiyah, S., & Riswandi, R. (2024). The Effect of Teacher Professional Competence on Education Quality: A Literature Review. Edumaspul: Journal Pendidikan, 8(1), 154-158.
Herman, K. C., Reinke, W. M., & Eddy, C. L. (2020). Advances in understanding and intervening in teacher stress and coping: The Coping-Competence-Context Theory. Journal of School Psychology, 78, 69-74.
Hogo, M. A. (2010). Evaluation of e-learning systems based on fuzzy clustering models and statistical tools. Expert systems with applications, 37(10), 6891-6903.
Kachelhoffer, A., & Khine, M. S. (2009, July). Bridging the digital divide, aiming to become lifelong learners. In IFIP World Conference on Computers in Education, 229-237.
Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061-1072.
Karsten, R., Mitra, A., & Schmidt, D. (2012). Computer self-efficacy: A meta-analysis. Journal of Organizational and End User Computing (JOEUC), 24(4), 54-80.
Keramati, A., Afshari-Mofrad, M., & Kamrani, A. (2011). The role of readiness factors in E-learning outcomes: An empirical study. Computers & Education, 57(3), 1919-1929.
Khaleghkhah, A., & Babaei Menghari, M. (2016). Relationship between Identity Properties and Computer Anxiety with Computer Self-efficacy of High Schools Students. Educational Psychology, 12(39), 157-173.
Kunter, M., Klusmann, U., Baumert, J., Richter, D., Voss, T., & Hachfeld, A. (2013). Professional competence of teachers: effects on instructional quality and student development. Journal of Educational Psychology, 105(3), 805.
Majid, I., & Lakshmi, Y. V. (2024). Models of E-learning Readiness in Higher Education: A Systematic Review. Indian Journal of Educational Technology, 6(1), 54.
McKenney, S. (2013). Designing and researching technology-enhanced learning for the zone of proximal implementation. Research in learning technology, 21, 1-6.
Motahhari-Nezhad, H., & Jahangard, H. (2016). Constructing and Validating the Teachersa Professional Competence Evaluation Instrument. Teaching and Learning Research, 15(1), 43-53.
Mueller, R. O. (1999). Basic principles of structural equation modeling: An introduction to LISREL and EQS. Springer Science & Business Media.
Mutula, S. M., & Van Brakel, P. (2006). An evaluation of e-readiness assessment tools with respect to information access: Towards an integrated information rich tool. International Journal of Information Management, 26(3), 212-223.
Nastjuk, I., Trang, S., Grummeck-Braamt, J. V., Adam, M. T., & Tarafdar, M. (2024). Integrating and synthesising technostress research: a meta-analysis on technostress creators, outcomes, and IS usage contexts. European Journal of Information Systems, 33(3), 361-382.
Nijveldt, M., Mieke, B., Douwe, B., Nico, V., & Theo, W. (2005). Assessing the interpersonal competence of beginning teachers: The quality of the judgment process. International Journal of Educational Research, 43, 89-102.
Ostadrahimi, M., Araste, H., & Abdollahi, B. (2020). Investigating the relationship between mentoring and self-efficacy of novice teachers. Educational Innovations, 19(4), 113-136.
Paraskeva, F., Bouta, H., & Papagianni, A. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Computers & Education, 50(3), 1084-1091.
pourasghar, N., Zare, H. (2015). Previous Experience of University Students and Tasks Performance Connected to Computer: Role of Computer Self-Efficacy, Computer Anxiety and Gender. Research in School and Virtual Learning, 3(9), 69-82.
Prasetyono, H., Abdillah, A., Djuhartono, T., Ramdayana, I. P., & Desnaranti, L. (2021). Improvement of Teacher's Professional Competency in Strengthening Learning Methods to Maximize Curriculum Implementation. International Journal of Evaluation and Research in Education, 10(2), 720-727.
Qi, C. (2019). A double-edged sword? Exploring the impact of students’ academic usage of mobile devices on technostress and academic performance. Behavior & Information Technology, 38(12), 1337-1354.
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information systems research, 19(4), 417-433.
Rezaei, M. (2019). Teachers' professional competencies: past, present, future. Quarterly Journal of Education, 35(2), 129-150.
Rohwer, E., Flöther, J. C., Harth, V., & Mache, S. (2022). Overcoming the “Dark Side” of Technology—A Scoping Review on Preventing and Coping with Work-Related Technostress. International journal of environmental research and public health, 19(6), 3625.
Saif, Ali Akbar. (2017). Modern educational psychology: the psychology of learning and education. Tehran: Duran. The seventh edition.
Salo, M., Pirkkalainen, H., Chua, C. E. H., & Koskelainen, T. (2022). Formation and Mitigation of Technostress in the Personal Use of IT. Mis Quarterly, 46(2), 1073-1108.
Sarkararani, Mohammad Reza. (2009). Educational reforms and modernization with an emphasis on the comparative study of education in Iran and Japan. Tehran: Roznagar
Sarva, E., Purina-Bieza, K.E., and Daniela, L. (2023). Self-evaluation instrument for measuring teachers’ pedagogical digital competence. INTED2022 Proceedings. 3568–3576.
Selinger, A., & Gröstenberger, E. (2024). The effect of gender and age on computer self-efficacy, computer anxiety and perceived enjoyment among Austrian secondary school teachers. MAP Education and Humanities, 4, 1-9.
Simsek, A. (2011). The relationship between computer anxiety and computer self-efficacy. Contemporary educational technology, 2(3), 177-187.
Smith, S. M. (2001). The four sources of influence on computer self-efficacy. Delta Pi Epsilon Journal, 43(1), 27-39.
Syakira, R. (2024, May). The Role of Teachers and the Unmaximum Quality of Teachers in Education in Indonesi. International Conference on Learning Community, 1(1), 1-11.
Tamara, Y., Hermansyah, H., & Marleni, M. (2024). Analysis of Teacher Professional Competence in Utilizing Information and Communication Technology. Esteem Journal of English Education Study Programme, 7(1), 193-206.
Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta‐techno eustress, techno distress, and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6-42.
Tarafdar, M., Tu, Q., & Ragu-Nathan, T. S. (2010). Impact of technostress on end-user satisfaction and performance. Journal of Management Information Systems, 27(3), 303-334.
Thaanyane, M., & Jita, T. (2024). Pre-Service Teachers’ Professional Competence in Integrating ICT in Business Education in Lesotho: A Systematic Literature Review. International Journal of Learning, Teaching and Educational Research, 23(4), 462-475.
Uy, F., Kilag, O. K., Calledo, M. F., Cerna, Y. D., Angtud, N. A., & Villanueva, K. (2024). Quality Performance of Teachers: Work Environment, Work Attitude, and Principal Supervision: Qualitative Investigation. International Multidisciplinary Journal of Research for Innovation, Sustainability, and Excellence (IMJRISE), 1(1), 101-109.
Waddington, J. (2023). Self-efficacy. ELT Journal, 77(2), 237-240.
Wang, Q., Zhu, Z., Chen, L., & Yan, H. (2009). E‐learning in China. Campus-Wide. Information Systems, 26,47–61.
Zaki, M. (2010). Measuring Computer Self-efficacy; Application of Computer Self-Efficacy in the field of IT users, A Case Study of University Student in Isfahan and Shahreza. Global Media Journal-Persian Edition, 5(2), 1-8.
Zakirova, R. A. (2016). The Structure of Primary School Teachers' Professional Competence. International Journal of Environmental and Science Education, 11(6), 1167-1173.
Zanda Rubene, L. D., Sarva, E., & Rūdolfa, A. (2021). Digital transformation of education: Envisioning post-covid education in Latvia. Human, technologies and quality of education, 180, 179-196. | ||
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