Research Article
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Year 2024, Volume: 6 Issue: 1, 91 - 99, 30.06.2024
https://doi.org/10.51535/tell.1429701

Abstract

References

  • Akgün, F. (2013). Prospective teachers' web pedagogical content knowledge and its relationship with teacher self-efficacy perceptions. Trakya University Journal of Faculty of Education, 3(1).
  • Akman, E., & Durgun, B. (2022). Investigation of Teachers' Professional Motivation and Technostress Levels. Fırat University Journal of Social Sciences, 32(2), 487-500
  • Brod, C. (1984). Technostress: The human cost of the computer revolution. Reading, MA: AddisonWesley.
  • Burke, R. J., Greenglass, E. R., & Schwarzer, R. (1996). Predicting teacher burnout over time: Effects of work stress, social support, and self-doubts on burnout and its consequences. Anxiety, stress, and coping, 9(3), 261-275.
  • Califf, C., & Brooks, S. L. (2020). An empirical study of technostressors, literacy facilitation, burnout, and turnover intention as experienced by K-12 teachers. Computers & Education, 157, 103971
  • Çalışkan, M. (2022). Determination of technostress levels of prospective teachers. Unpublished Master's thesis, Necmettin Erbakan University, Konya, Türkiye.
  • Chen, T. K. (2012). Elementary efl teachers' computer phobia and computer self-efficacy in taiwan. The Turkish Online Journal of Educational Technology, 11(2).
  • Chiappetta, M. (2017). The Technostress: definition, symptoms and risk prevention. Senses and Sciences, 4(1). https://doi.org/10.14616/sands-2017-1-358361
  • Çoklar, A. N., Efilti, E., & Sahin, L. (2017). Defining teachers' technostress levels: A scale development. Journal of Education and Practice, 8(21), 28-41.
  • Çoklar, A. N., Efilti, E., & Şahin, Y. L. (2019). Technostress as a factor affecting the use of technology by beginning teachers. In Handbook of Research on Faculty Development for Digital Teaching and Learning, (pp. 460- 480). IGI Global.
  • Dikmen, G., Akyıl, E., & Akçay, A. O. (2021). Investigation of computer and internet use self-efficacy perceptions of classroom teachers. International Journal of Leadership Education, 1(I), 16-25.
  • Effiyanti, T. & Sagala, G. H. (2018). Technostress among teachers: a confirmation of its stressors and antecedent. International Journal of Education Economics and Development, 9(2), 134.https://doi.org/10.1504/IJEED.2018.092197
  • Eryılmaz, S., Sarıçayır, D., & Yıldız, G. (2020). Examining students' perception of information technology self-efficacy and internet addiction. Journal of Education and Society Research, 7(2), 609-638.
  • Gökbulut, B. (2021). The relationship between teachers' technostress and technopedagogical competencies. Journal of Ahi Evran University Kırşehir Faculty of Education, 22(1), 472-496.
  • Gökbulut, B., & Dindaş, S. (2022). Investigation of teachers' professional burnout and technostress levels. International Journal of Eurasia Social Sciences, 13(47), 42-59.
  • Hayta, A. (2007). The effect of working environment conditions on business productivity. Journal of Commerce Tourism Education Faculty, 1(21), 41.
  • Karasar, N. (2006). Scientific research method. Ankara: Nobel Publication.
  • Kıncı, C., & Özgür, H. (2022). Evaluation of teachers' technostress levels according to various variables: the case of edirne province. Trakya Education Journal, 12(2), 1106-1132.
  • Madigan, D. J., & Kim, L. E. (2021). Towards an understanding of teacher attrition: a meta-analysis of burnout, job satisfaction, and teachers' intentions to quit. Teaching and Teacher Education, 105,103425.
  • Martinovic, D., & Zhang, Z. (2012). Situating ICT in the teacher education program: Overcoming challenges, fulfilling expectations. Teaching and Teacher Education, 28(3), 461-469.
  • Nelson, D. L., & Kletke, M. G. (1990). Individual adjustment during technological innovation: A research framework. Behavior & Information Technology, 9(4), 257-271
  • Şad, S.N. & Nalçacı, Ö.İ. (2015). Prospective teachers' perceptions of competence to use information and communication technologies in education. Mersin University Journal of Faculty of Education, 11(1), 177-197.
  • Saltan, F., & Arslan, K. (2017). A comparison of in-service and pre-service teachers' technological pedagogical content knowledge self-confidence. Cogent Education, 4(1), 1311501.
  • Shu, Q., Tu, Q., & Wang, K. (2011). The impact of computer self-efficacy and technology dependence on computer-related technostress: A social cognitive theory perspective. International Journal of Human-Computer Interaction, 27(10), 923-939.
  • Topal, M., & Akgün, Ö. E. (2015). Investigation of pre-service teachers' self-efficacy perceptions of internet use for educational purposes: The case of Sakarya University. Kastamonu Journal of Education, 23(1), 343-364.
  • Yu, T. K., & Yu, T. Y. (2010). Modeling the factors that affect individuals' utilization of online learning systems: An empirical study combining the task technology fit model with the theory of planned behaviour. British Journal of Educational Technology, 41(6), 1003-1017.

Investigation of Classroom Teachers' Technostress Levels in Terms of ICT Competence Perceptions and Various Variables

Year 2024, Volume: 6 Issue: 1, 91 - 99, 30.06.2024
https://doi.org/10.51535/tell.1429701

Abstract

Technostress refers to the negative psychological and physical effects of technology use (Brod, 1984; Shu, Tu, & Wang ,2011). The reasons for this include factors such as information overload and inability to cope with the pressure to stay up to date with technology. Undoubtedly, there is a strong relationship between technostress and technology use (Brod, 1984). Today, technostress has become a common problem among teachers (Madigan & Kim, 2021). This study aims to reveal the relationship between the levels of technostress that classroom teachers may have experienced and their perceptions of competence towards Information Communication Technologies (ICT). In addition, teachers' technostress levels and ICT efficacy perceptions were examined in terms of various descriptive variables. The study was conducted with the relational survey model, one of the quantitative research methods, and two scales and various descriptive questions were used. In the study, independent sample t-test, Mann-Whitney U test and one sample ANOVA were used to determine the difference between multi-group variables. Bivariate Pearson correlation analysis was applied to test the relationship. The results of the analysis showed that there was a statistically significant relationship between teachers' technostress levels and their perceptions of ICT efficacy (r= 0.343; p<0.01). Accordingly, it was determined that as teachers' perceptions of ICT competence increased, their technostress levels decreased significantly. In addition, it was shown that ICT efficacy perceptions did not create a statistically significant difference in terms of gender, grade taught, place of teaching and social media use. On the other hand, the analysis revealed that teachers' professional experience made a difference in terms of ICT perceptions.

Ethical Statement

Amasya Üniversitesi Etik Kurulu Çalışmaya İzin Vermiştir.

Supporting Institution

-

References

  • Akgün, F. (2013). Prospective teachers' web pedagogical content knowledge and its relationship with teacher self-efficacy perceptions. Trakya University Journal of Faculty of Education, 3(1).
  • Akman, E., & Durgun, B. (2022). Investigation of Teachers' Professional Motivation and Technostress Levels. Fırat University Journal of Social Sciences, 32(2), 487-500
  • Brod, C. (1984). Technostress: The human cost of the computer revolution. Reading, MA: AddisonWesley.
  • Burke, R. J., Greenglass, E. R., & Schwarzer, R. (1996). Predicting teacher burnout over time: Effects of work stress, social support, and self-doubts on burnout and its consequences. Anxiety, stress, and coping, 9(3), 261-275.
  • Califf, C., & Brooks, S. L. (2020). An empirical study of technostressors, literacy facilitation, burnout, and turnover intention as experienced by K-12 teachers. Computers & Education, 157, 103971
  • Çalışkan, M. (2022). Determination of technostress levels of prospective teachers. Unpublished Master's thesis, Necmettin Erbakan University, Konya, Türkiye.
  • Chen, T. K. (2012). Elementary efl teachers' computer phobia and computer self-efficacy in taiwan. The Turkish Online Journal of Educational Technology, 11(2).
  • Chiappetta, M. (2017). The Technostress: definition, symptoms and risk prevention. Senses and Sciences, 4(1). https://doi.org/10.14616/sands-2017-1-358361
  • Çoklar, A. N., Efilti, E., & Sahin, L. (2017). Defining teachers' technostress levels: A scale development. Journal of Education and Practice, 8(21), 28-41.
  • Çoklar, A. N., Efilti, E., & Şahin, Y. L. (2019). Technostress as a factor affecting the use of technology by beginning teachers. In Handbook of Research on Faculty Development for Digital Teaching and Learning, (pp. 460- 480). IGI Global.
  • Dikmen, G., Akyıl, E., & Akçay, A. O. (2021). Investigation of computer and internet use self-efficacy perceptions of classroom teachers. International Journal of Leadership Education, 1(I), 16-25.
  • Effiyanti, T. & Sagala, G. H. (2018). Technostress among teachers: a confirmation of its stressors and antecedent. International Journal of Education Economics and Development, 9(2), 134.https://doi.org/10.1504/IJEED.2018.092197
  • Eryılmaz, S., Sarıçayır, D., & Yıldız, G. (2020). Examining students' perception of information technology self-efficacy and internet addiction. Journal of Education and Society Research, 7(2), 609-638.
  • Gökbulut, B. (2021). The relationship between teachers' technostress and technopedagogical competencies. Journal of Ahi Evran University Kırşehir Faculty of Education, 22(1), 472-496.
  • Gökbulut, B., & Dindaş, S. (2022). Investigation of teachers' professional burnout and technostress levels. International Journal of Eurasia Social Sciences, 13(47), 42-59.
  • Hayta, A. (2007). The effect of working environment conditions on business productivity. Journal of Commerce Tourism Education Faculty, 1(21), 41.
  • Karasar, N. (2006). Scientific research method. Ankara: Nobel Publication.
  • Kıncı, C., & Özgür, H. (2022). Evaluation of teachers' technostress levels according to various variables: the case of edirne province. Trakya Education Journal, 12(2), 1106-1132.
  • Madigan, D. J., & Kim, L. E. (2021). Towards an understanding of teacher attrition: a meta-analysis of burnout, job satisfaction, and teachers' intentions to quit. Teaching and Teacher Education, 105,103425.
  • Martinovic, D., & Zhang, Z. (2012). Situating ICT in the teacher education program: Overcoming challenges, fulfilling expectations. Teaching and Teacher Education, 28(3), 461-469.
  • Nelson, D. L., & Kletke, M. G. (1990). Individual adjustment during technological innovation: A research framework. Behavior & Information Technology, 9(4), 257-271
  • Şad, S.N. & Nalçacı, Ö.İ. (2015). Prospective teachers' perceptions of competence to use information and communication technologies in education. Mersin University Journal of Faculty of Education, 11(1), 177-197.
  • Saltan, F., & Arslan, K. (2017). A comparison of in-service and pre-service teachers' technological pedagogical content knowledge self-confidence. Cogent Education, 4(1), 1311501.
  • Shu, Q., Tu, Q., & Wang, K. (2011). The impact of computer self-efficacy and technology dependence on computer-related technostress: A social cognitive theory perspective. International Journal of Human-Computer Interaction, 27(10), 923-939.
  • Topal, M., & Akgün, Ö. E. (2015). Investigation of pre-service teachers' self-efficacy perceptions of internet use for educational purposes: The case of Sakarya University. Kastamonu Journal of Education, 23(1), 343-364.
  • Yu, T. K., & Yu, T. Y. (2010). Modeling the factors that affect individuals' utilization of online learning systems: An empirical study combining the task technology fit model with the theory of planned behaviour. British Journal of Educational Technology, 41(6), 1003-1017.
There are 26 citations in total.

Details

Primary Language English
Subjects Instructional Technologies
Journal Section Research Articles
Authors

Fatih Saltan 0000-0002-9806-3514

Çetin Bozbey 0000-0002-9806-3514

Fatih Bozyokuş This is me 0000-0002-9806-3514

Sefa Koçak 0000-0002-9806-3514

Muhammet Özdemir 0000-0002-9806-3514

Early Pub Date June 9, 2024
Publication Date June 30, 2024
Submission Date February 1, 2024
Acceptance Date May 7, 2024
Published in Issue Year 2024 Volume: 6 Issue: 1

Cite

APA Saltan, F., Bozbey, Ç., Bozyokuş, F., Koçak, S., et al. (2024). Investigation of Classroom Teachers’ Technostress Levels in Terms of ICT Competence Perceptions and Various Variables. Journal of Teacher Education and Lifelong Learning, 6(1), 91-99. https://doi.org/10.51535/tell.1429701

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