研究生: |
沈君儒 Shen, Chun-Ju |
---|---|
論文名稱: |
以結構方程模型探究國小教師工作壓力和其線上教學行為看法的差異性 Probing in-service elementary school teachers' perceptions of work stress and their online teaching: A study of their structural models and teachers' demographics |
指導教授: |
梁至中
Liang, Jyh-Chong |
口試委員: |
王嘉瑜
Wang, Chia-Yu 吳怡瑾 Wu, I-Chin 梁至中 Liang, Jyh-Chong |
口試日期: | 2023/07/19 |
學位類別: |
碩士 Master |
系所名稱: |
圖書資訊學研究所圖書資訊學數位學習碩士在職專班 Graduate Institute of Library and Information Studies_Online Continuing Education Master's Program of Library and Information Studies |
論文出版年: | 2023 |
畢業學年度: | 111 |
語文別: | 中文 |
論文頁數: | 57 |
中文關鍵詞: | 線上教學 、教師工作壓力 、路徑分析 |
英文關鍵詞: | online teaching, teacher' s work stress, path analysis |
研究方法: | 調查研究 |
DOI URL: | http://doi.org/10.6345/NTNU202300822 |
論文種類: | 學術論文 |
相關次數: | 點閱:206 下載:19 |
分享至: |
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COVID-19對全世界教育系統有重大影響,許多國家在此期間將實體課程改為全部或是部分線上教學,線上教學因而成為學習的重要途徑之一,與此同時,教師也面臨線上教學的挑戰和工作壓力的衝擊,過去文獻大多分別探究工作壓力和線上教學行為,兩者之間的關聯並未進行深入探討。本研究目的為探究國小教師(n=344)工作壓力和線上教學行為之關聯性,並探究年輕教師(n=215)和年長教師(n=129)的差異性。本研究採量化研究,透過探索性因素和驗證性因素分析檢驗量表之信效度,並透過獨立樣本t檢定、路徑分析探究向度間的關聯性和差異性。探索性因素分析和驗證性因素分析研究結果顯示,研究工具具有足夠的信效度可以應用在國小教師;獨立樣本t檢定分析研究結果發現,所有向度中,年輕教師和年長教師在有意學習和線上協作學習向度感知程度存在顯著差異。路徑分析研究結果發現,年輕教師和年長教師預測相同之處為家長的壓力均正向預測教師教學工作壓力,數位媒體自我效能均正向預測主動和建設性學習、有意學習、真實學習、線上學習主觀規範、線上協作學習,線上協作學習均正向預測線上學習持續意圖。年輕教師和年長教師預測差異之處為年輕教師家長的壓力正向預測有意學習、真實學習、線上協作學習,而年長教師家長的壓力負向預測線上學習主觀規範,年輕教師教學工作壓力負向預測數位媒體自我效能,而年長教師教學工作壓力負向預測真實學習。
COVID-19 has had a major impact on the education system around the world. During this period, many countries changed their physical courses to all or part of online teaching. Therefore, online teaching has become one of the important ways of learning. At the same time, teachers are also facing the challenges of online teaching and the impact of work pressure, most of the past literature explored work pressure and online teaching behavior separately, and the relationship between the two has not been explored in depth. The purpose of this study is to explore the correlation and differences between young teachers'(n=215) and older teachers'(n=129) online teaching behavior and work stress. Quantitative research was used in this study, and the research tests the reliability and validity of the scale through exploratory factor and confirmatory factor analysis. The research explores the correlation and difference between dimensions through independent sample t-test and path analysis. The results of exploratory factor analysis and confirmatory factor analysis indicated that the research tool has enough reliability and validity to be applied to elementary school teachers; the independent sample t-test analysis found that, there are significant differences between young teachers and older teachers in the perception of "intentional learning" and "online collaborative learning". The results of the path analysis study found that the same predictions of young teachers and older teachers are that "Stress from Parents" both positively predict "Teacher Teaching Work Stress" and "Perceived Digital Media Self-efficacy" both positively predict "Active Learning and Constructive Learning" , "Intentional Learning", "Authentic Learning", "Subjective Norms for Online Learning", "Online Collaborative Learning", "Online Collaborative Learning" positively predicts "Online Learning Continuing Intention". The difference between the predictions of young teachers and older teachers is that the young teachers' " Stress from Parents " positively predicts "Intentional Learning", "Authentic Learning", and "Online Collaborative Learning", while the older teachers' " Stress from Parents " negatively predicts " Subjective Norms for Online Learning”, young teachers’ “Teacher Teaching Work Stress” negatively predicts “Perceived Digital Media Self-efficacy”, while older teachers’ “Teacher Teaching Work Stress” negatively predicts “Authentic Learning”.
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314-324.
Adkins, J. K. (2018). Active learning and formative assessment in a user-centered design course. Information Systems Education Journal, 16(4), 34.
Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. Higher Education Studies, 10(3), 16-25.
Altawallbeh, M., Soon, F., Thiam, W., & Alshourah, S. (2015). Mediating role of attitude, subjective norm and perceived behavioral control in the relationships between their respective salient beliefs and behavioral intention to adopt e-learning among instructors in Jordanian universities. Journal of Education and Practice,6(11), 152-159.
Alenezi, A. (2012). Faculty members’ perception of e-learning in higher education in the Kingdom of Saudi Arabia (KSA) (Doctoral dissertation).
Anjorin, M., Rensing, C., Bischoff, K., Bogner, C., Lehmann, L., Reger, A. L., ... & Domínguez García, R. (2011). Crokodil:A platform for collaborative resource-based learning. In Towards Ubiquitous Learning: 6th European Conference of Technology Enhanced Learning, EC-TEL 2011, Palermo, Italy, September 20-23, 2011. Proceedings 6 (pp. 29-42). Springer Berlin Heidelberg.
Brindley, J. E., Blaschke, L. M., & Walti, C. (2009). Creating effective collaborative learning groups in an online environment. International Review of Research in Open and Distributed Learning, 10(3).
Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 15(1), 1-40.
Bonwell, C. C., & Eison, J. A. (1991). Active learning: Creating excitement in the classroom. 1991 ASHE-ERIC higher education reports. ERIC Clearinghouse on Higher Education, The George Washington University, One Dupont Circle, Suite 630, Washington, DC 20036-1183.
Boumans, N. P., De Jong, A. H., & Janssen, S. M. (2011). Age-differences in work motivation and job satisfaction. The influence of age on the relationships between work characteristics and workers' outcomes. The International Journal of Aging and Human Development, 73(4), 331-350.
Bandura, A. (1997). Self-efficacy: The exercise of control. Macmillan.
Billett, P., Turner, K., & Li, X. (2023). Australian teacher stress, well‐being, self‐efficacy, and safety during the COVID‐19 pandemic. Psychology in the Schools, 60(5), 1394-1414.
Bottiani, J. H., Duran, C. A., Pas, E. T., & Bradshaw, C. P. (2019). Teacher stress and burnout in urban middle schools: Associations with job demands, resources, and effective classroom practices. Journal of School Psychology,77, 36-51.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 351-370.
Chitra, A. (2020). Study on impact of occupational stress on job satisfaction of teachers during Covid-19 pandemic period. Global Development Review, 4(2), 52-62.
Callison, D., & Lamb, A. (2004). Key words in instruction: Authentic learning. School Library Media Activities Monthly, 21(4), 34-39.
Cooperstein, S. E., & Kocevar‐Weidinger, E. (2004). Beyond active learning: A constructivist approach to learning. Reference Services Review, 32(2), 141-148.
Cohen, J. (1988). Set correlation and contingency tables. Applied Psychological Measurement, 12(4), 425-434.
Dillenbourg, P., Järvelä, S., & Fischer, F. (2009). The evolution of research on computer-supported collaborative learning. In Technology-Enhanced Learning (pp. 3-19). Springer, Dordrecht.
Dewdney, A., & Ride, P. (2013). The digital media handbook. Routledge.
Dimitrova, V., & Mitrovic, A. (2022). Choice architecture for nudges to support constructive learning in active video watching. International Journal of Artificial Intelligence in Education,32(4), 892-930.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Forlin, C. (2001). Inclusion: Identifying potential stressors for regular class teachers. Educational Research, 43(3), 235-245.
Ganster, D. C., & Rosen, C. C. (2013). Work stress and employee health: A multidisciplinary review. Journal of Management, 39(5), 1085-1122.
Har, L. B. (2013). Authentic learning. The Hong Kong Institute of Education. Retrieved, 141-178.
Hoover-Dempsey, K. V., & Sandler, H. M. (1997). Why do parents become involved in their children’s education? Review of Educational Research, 67(1), 3-42.
Howland, J. L., Jonassen, D., & Marra, R. M. (2012). Meaningful learning with technology (4th ed.). Boston, MA: Allyn & Bacon.
Herman, K. C., Reinke, W. M., & Eddy, C. L. (2020). Advances in understanding and I intervening in teacher stress and coping: The coping-competence-context theory. Journal of School Psychology, 78, 69-74.
Hocevar, K. P., Flanagin, A. J., & Metzger, M. J. (2014). Social media self-efficacy and information evaluation online. Computers in Human Behavior, 39, 254-262.
Harasim, L., Calvert, T., & Groeneboer, C. (1997). Virtual-u: A web-based system to support collaborative learning. Khan, 62, 149-158.
Haidi, H., & Hamdan, M. (2022). Analysis of the home-based online teaching and learning policy during the COVID-19 second wave in Brunei: A joint parent/teacher perception. Asia Pacific Education Review, 1-16.
Haydon, T., Leko, M. M., & Stevens, D. (2018). Teacher stress: Sources, effects, and protective factors. Journal of Special Education Leadership, 31(2).
Hair Jr., J. F., Black, J. W., Babin, B. J., & Anderson, E. R. (2010). Multivariate data analysis (7th ed.). Edinburgh: Pearson Education Limited.
Hulstijn, J. H. (2013). Incidental learning in second language acquisition. The Encyclopedia of Applied Linguistics, 5, 2632-2640.
Herrington, J., Oliver, R., & Reeves, T. C. (2003). Patterns of engagement in authentic online learning environments. Australasian Journal of Educational Technology, 19(1).
Hiltz, S. R., & Turoff, M. (2005). Education goes digital: The evolution of online learning and the revolution in higher education. Communications of the ACM, 48(10), 59-64.
Johnson, S., Cooper, C., Cartwright, S., Donald, I., Taylor, P., & Millet, C. (2005). The experience of work‐related stress across occupations. Journal of Managerial Psychology, 20(2), 178-187.
Jamalova, M., & Bálint, C. (2022). Modelling students’ adoption of e-learning during the COVID-19 pandemic: Hungarian perspective. International Journal of Emerging Technologies in Learning (Online), 17(7), 275.
Kyriacou, C. (2001). Teacher stress: Directions for future research. Educational Review, 53(1), 27-35.
Kyriacou, C. (2011). Teacher stress: From prevalence to resilience. Handbook of Stress in The Occupations, 161-173.
Krumsvik, R. J., Jones, L. Ø., Øfstegaard, M., & Eikeland, O. J. (2016). Upper secondary school teachers’ digital competence: Analyzed by demographic, personal and professional characteristics. Nordic Journal of Digital Literacy, 11(3), 143-164.
Kongcharoen, J., Onmek, N., Jandang, P., & Wangyisen, S. (2019). Stress and work motivation of primary and secondary school teachers. Journal of Applied Research in Higher Education.
Kontaxopoulou, D., Beratis, I. N., Fragkiadaki, S., Pavlou, D., Yannis, G., Economou, A., ... & Papageorgiou, S. G. (2017). Incidental and intentional memory: Their relation with attention and executive functions. Archives of Clinical Neuropsychology, 32(5), 519-532.
Kearney, M., & Schuck, S. (2006). Spotlight on authentic learning: Student developed digital video projects. Australasian Journal of Educational Technology, 22(2).
Klapproth, F., Federkeil, L., Heinschke, F., & Jungmann, T. (2020). Teachers' experiences of stress and their coping strategies during COVID-19 induced distance teaching. Journal of Pedagogical Research, 4(4), 444-452.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1–55.
Lu, Y. (2021, December). Implication from incidental and intentional learning in taking up a foreign language. In 2021 4th International Conference on Humanities Education and Social Sciences (ICHESS 2021) (pp. 539-544). Atlantis Press.
Liu, Y., Zhao, L., & Su, Y. S. (2022). The impact of teacher competence in online teaching on perceived online learning outcomes during the COVID-19 outbreak: A moderated-mediation model of teacher resilience and age. International Journal of Environmental Research and Public Health, 19(10), 6282.
Loyens, S. M., & Gijbels, D. (2008). Understanding the effects of constructivist learning environments: Introducing a multi-directional approach. Instructional Science, 36(5), 351-357.
Loughran, J. (2013). Developing a pedagogy of teacher education: Understanding teaching & learning about teaching. Routledge.
Laal, M., & Ghodsi, S. M. (2012). Benefits of collaborative learning. Procedia-Social and Behavioral Sciences, 31, 486-490.
Lau, P. S., Yuen, M. T., & Chan, R. M. (2005). Do demographic characteristics make a difference to burnout among Hong Kong secondary school teachers? Quality-of-Life Research in Chinese, Western and Global Contexts, 491-516.
Martin, F., Sun, T., & Westine, C. D. (2020). A systematic review of research on online teaching and learning from 2009 to 2018. Computers & Education, 159, 104009.
MacIntyre, P. D., Gregersen, T., & Mercer, S. (2020). Language teachers’ coping strategies during the Covid-19 conversion to online teaching: Correlations with stress, wellbeing and negative emotions. System, 94, 102352.
Maheshwari, G. (2021). Factors affecting students’ intentions to undertake online learning: an empirical study in Vietnam. Education and Information Technologies, 26(6), 6629-6649.
Mannila, L., Nordén, L. Å., & Pears, A. (2018, August). Digital competence, teacher self-efficacy and training needs. In Proceedings of the 2018 ACM Conference on International Computing Education Research (pp. 78-85).
Maina, F. W. (2004). Authentic learning: Perspectives from contemporary educators. Journal of Authentic Learning, 1(1), 1–8.
Mollman, S., & Candela, L. (2018, January). Intentional learning: A concept analysis. In Nursing Forum (Vol. 53, No. 1, pp. 106-111).
Nelissen, S., Kuczynski, L., Coenen, L., & Van den Bulck, J. (2019). Bidirectional socialization: an actor-partner interdependence model of internet self-efficacy and digital media influence between parents and children. Communication Research, 46(8), 1145-1170.
Ozamiz-Etxebarria, N., Berasategi Santxo, N., Idoiaga Mondragon, N., & Dosil Santamaría, M. (2021). The psychological state of teachers during the COVID-19 crisis: The challenge of returning to face-to-face teaching. Frontiers in Psychology, 11, 620718.
Petrie, C., Aladin, K., Ranjan, P., Javangwe, R., Gilliland, D., Tuominen, S., & Lasse, L. (2020). Quality education for all during Covid-19. Report from HundrED.org in partnership with the OECD.
Pokhrel, S., & Chhetri, R. (2021). A literature review on impact of COVID-19 pandemic on teaching and learning. Higher Education for the Future, 8(1), 133-141.
Poalses, J., & Bezuidenhout, A. (2018). Mental health in higher education: A comparative stress risk assessment at an open distance learning university in South Africa. International Review of Research in Open and Distributed Learning, 19(2).
Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018). Online learning: Adoption, continuance, and learning outcome—A review of literature. International Journal of Information Management, 43, 1-14.
Renzulli, J. S., Gentry, M., & Reis, S. M. (2021). Enrichment Clusters: A Practical Plan for Real-World, Student-Driven Learning. Routledge.
Richards, J. (2012, July). Teacher stress and coping strategies: A national snapshot. In The Educational Forum (Vol. 76, No. 3, pp. 299-316). Taylor & Francis Group.
Schleicher, A. (2020). Education disrupted-education rebuilt. Ch. Petrie et al., Spotlight: Quality education for all during Covid-19 crisis. https://cdn. hundred. org/uploads/report/file/15/hundred_spotlight_covid-19_digital. pdf.
Semerci, A., & Aydin, M. K. (2018). Examining high school teachers' attitudes towards ICT use in education. International Journal of Progressive Education, 14(2), 93-105.
Shultz, T. R. (1980). Development of the concept of intention. In the Minnesota Symposium on Child Psychology (Vol. 13, pp. 131-164). Erlbaum.
Sepulveda-Escobar, P., & Morrison, A. (2020). Online teaching placement during the COVID-19 pandemic in Chile: challenges and opportunities. European Journal of Teacher Education, 43(4), 587-607.
Suganya, S., & Sankareshwari, B. (2020). Job satisfaction level on online teaching among higher secondary school teachers during COVID-19 pandemic. Shanlax International Journal of Education, 9(1), 138-145.
Schwarz, B. B., Neuman, Y., Gil, J., & Ilya, M. (2003). Construction of collective and individual knowledge in argumentative activity. The Journal of The Learning Sciences, 12(2), 219-256.
Stevens, J. P. (2012). Applied multivariate statistics for the social sciences. Routledge.
Shapka, J. D., & Ferrari, M. (2003). Computer-related attitudes and actions of teacher candidates. Computers in Human Behavior, 19(3), 319-334.
Skaalvik, E. M., & Skaalvik, S. (2007). Dimensions of teacher self-efficacy and relations with strain factors, perceived collective teacher efficacy, and teacher burnout. Journal of Educational Psychology, 99(3), 611.
Skaalvik, E. M., & Skaalvik, S. (2015). Job satisfaction, stress and coping strategies in the teaching profession-what do teachers say? International Education Studies, 8(3), 181-192.
Singh, V., & Thurman, A. (2019). How many ways can we define online learning? A systematic literature review of definitions of online learning (1988-2018). American Journal of Distance Education, 33(4), 289-306.
Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43-50.
Ültanir, E. (2012). An epistemological glance at the constructivist approach: Constructivist learning in Dewey, Piaget, and Montessori. International Journal of Instruction, 5(2).
United Nations. (2020). Policy Brief: Education during COVID-19 and Beyond. https://www.un.org/sites/un2.un.org/files/sg_policy_brief_covid-19_and_education_august_2020.pdf
Vosniadou, S. (2003). Exploring the relationships between conceptual change and intentional learning. In Intentional Conceptual Change (pp. 373-402). Routledge
Valaitis, K. L., Ellis, H., Hastings, N. B., & Havard, B. (2022). The influence of personal attitude on instructor intent to integrate online collaborative activities. Education and Information Technologies, 27(4), 5277-5299.
Väljataga, T., & Fiedler, S. (2009). Supporting students to self-direct intentional learning projects with social media. Journal of Educational Technology & Society, 12(3), 58-69.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
Wentzel, K. R. (2010). Students' relationships with teachers. In Handbook of Research on Schools, Schooling, and Human Development (pp. 75-91). Routledge.
Yau, H. K., & Ho, T. C. (2015). The influence of subjective norm on behavioral intention in using e-learning: An empirical study in Hong Kong higher education. In Proceedings of the International Multiconference of Engineers and Computer Scientists (Vol. 2, pp. 18-20).
Zyad, H. (2016). Integrating computers in the classroom: barriers and teachers' attitudes. International Journal of Instruction, 9(1), 65-78.