Araştırma Makalesi
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A Study on the Development of a Teacher Trust Scale for Online Learning Environments in Professional Development

Yıl 2025, Cilt: 44 Sayı: 2, 697 - 754, 31.12.2025
https://doi.org/10.7822/omuefd.1664833

Öz

The purpose of this study is to develop a valid and reliable measurement instrument to assess teachers’ perceptions of trust toward online learning environments. The scale was administered to 610 teachers working in public schools affiliated with the Samsun Provincial Directorate of National Education during the spring semester of the 2024–2025 academic year, all of whom voluntarily participated in the study. Criterion sampling was used, with the criterion being the completion of the "Conscious Use of the Internet and Fatih Project ICT Course" via the Teacher Information Network (ÖBA). The scale form was delivered to participants online, and responses were collected through digital means. The dataset was randomly divided into two groups (n₁ = 296, n₂ = 314), and Exploratory Factor Analysis (EFA) was conducted on the first group, followed by Confirmatory Factor Analysis (CFA) on the second. The EFA revealed a structure consisting of 15 items and three factors. The total variance explained by the scale was calculated as 71,157%, and the factors were named, in line with the literature, as “Trust in System Management,” “Trust in Educational Content,” and “Trust in Learning Environment.” The results of the CFA confirmed the three-factor structure and demonstrated good model fit (RMSEA = 0,086, CFI = 0,97, NFI = 0,96, GFI = 0,89, IFI = 0,97, SRMR = 0,065). The reliability of the scale was assessed using Cronbach’s alpha coefficient, which was calculated as  = 0.924 for the entire scale. The subscale alpha values ranged from 0,876 to 0,929. These findings indicate that the developed scale is a highly reliable measurement tool. In conclusion, a valid and reliable scale has been developed to measure teachers’ perceptions of trust toward online learning environments, and its psychometric properties have been confirmed.

Kaynakça

  • Akram, R. N. & Ko, R. K. (2014). Digital trust-trusted computing and beyond: A position paper. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (pp. 884-892). IEEE.
  • Aljazzaf, Z. M., Perry, M. & Capretz, M. A. M. Online trust: Definition and principles. University of Western Ontario.
  • Anwar, M. & Greer, J. (2012). Facilitating trust in privacy-preserving e-learning environments. IEEE Transactions on Learning Technologies, 5(1), 62-75.
  • Balaman, F. Baş, M. (2023). Perception of using e-learning platforms in the scope of the technology acceptance model (TAM): a scale development study. Interactive Learning Environments, 31(8), 5395-5419.
  • Balaskas, S., Tsiantos, V., Chatzifotiou, S. & Rigou, M. (2025). Determinants of ChatGPT adoption intention in higher education: Expanding on TAM with the mediating roles of trust and risk. Information, 16(82).
  • Baykul, Y. (2010). Eğitimde ölçme ve değerlendirme. Pegem Akademi Yayıncılık.
  • Bektaş, F., Kılınç, A. Ç. & Gümüş, S. (2022). The effects of distributed leadership on teacher professional learning: mediating roles of teacher trust in principal and teacher motivation. Educational studies, 48(5), 602-624.
  • Ben Mansour, K. (2016). An analysis of business’ acceptance of internet banking: an integration of e-trust to the TAM. Journal of Business & Industrial Marketing, 31(8), 982-994.
  • Benbasat, I. & Wang, W. (2005). Trust in and adoption of online recommendation agents. Journal of the association for information systems, 6(3), 4.
  • Benda, A. N., Kramer, W. S., Baak, M. E. & Feitosa, J. (2023). Understanding trust in virtual work teams. In L. L. Gilson, T. O’Neill ve M. T. Maynard (Eds.), Handbook of Virtual Work (pp. 305-324). Edward Elgar Publishing. Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial test. Journal of Management Information Systems, 19(1), 211-241.
  • Bøe, T. (2018). E-learning technology and higher education: The impact of organizational trust. Tertiary Education and Management, 24(4), 362-376.
  • Büyüköztürk, Ş. (2002). Faktör analizi: Temel kavramlar ve ölçek geliştirmede kullanımı. Kuram ve Uygulamada Eğitim Yönetimi, 32, 470-483.
  • Byrne, B. M. (2011). Structural equation modeling with AMOS: Basic concepts, applications, and programming (Multivariate Applications Series). Routledge.
  • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276. https://doi.org/10.1207/s15327906mbr0102_10
  • Chang, V. & Fisher, D. (2003). The validation and application of a new learning environment instrument for online learning in higher education. In Technology-rich learning environments: A future perspective (pp. 1-20).
  • Chen, Y.-H. & Barnes, S. (n.d.). Initial trust and online buyer behaviour. Norwich Business School, University of East Anglia.
  • Cheung, R. & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160-175.
  • Choi, S., Jang, Y. & Kim, H. (2023). Influence of pedagogical beliefs and perceived trust on teachers’ acceptance of educational artificial intelligence tools. International Journal of Human–Computer Interaction, 39(4), 910-922.
  • Choung, H., David, P. & Ross, A. (2023). Trust in AI and its role in the acceptance of AI technologies. International Journal of Human–Computer Interaction, 39(9), 1727-1739.
  • Cui, W., Shen, H., Yan, Y. Q. & Shi-zheng, H. (2020). The impact of E-service quality in P2P accommodations on customer behavior intention: Evidence from chinese customers. Revista Argentina de Clínica Psicológica, 29(5), 296.
  • Çelen, F. K. & Seferoğlu, S. S. (2016). Hizmet-içi eğitim etkinlikleri kapsamında çevrim-içi ortamların kullanılması: Gözlemler, sorunlar ve çözüm önerileri üzerine değerlendirmeler. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 31(1), 25-40.
  • Çokluk, Ö., Şekerci, G. & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi.
  • Doğan, N., Soysal, S. & Karaman, H. (2017). Aynı Örnekleme Açımlayıcı Ve Doğrulayıcı Faktör Analizi Uygulanabilir mi? Küreselleşen dünyada eğitim.(1 Baskı) içinde (372-400). İstanbul: Pegem Akademi.
  • Dede, C., Eisenkraft, A., Frumin, K., & Hartley, A. (Eds.). (2016). Teacher learning in the digital age: Online professional development in STEM education. Harvard Education Press.
  • Erkuş, A. (2014). Psikolojide ölçme ve ölçek geliştirme I. Ankara: Pegem Akademi Yayınları.
  • George, D. & Mallery, M. (2010). SPSS for Windows step by step: A simple guide and reference (10th ed.). Pearson.
  • Ejdys, J. (2018). Building technology trust in ICT application at a university. International Journal of Emerging Markets, 13(5), 995-1013.
  • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2015). How to design and evaluate research in education (9th ed.). New York, NY: McGraw-Hill Education.
  • Francis, A. P. (2010). Why do some preservice teachers trust digital technology and others don't? Conceptualizing the intersection of trust, technology, and education (Doctoral dissertation, Michigan State University). ProQuest Dissertations Publishing.
  • Francis, A. & Mishra, P. (2008, March). Why do Some Teachers Trust Digital Technologies and Others Don't?. In Society for Information Technology & Teacher Education International Conference (pp. 3749-3751). Association for the Advancement of Computing in Education (AACE).
  • Friedman, B., Kahn, P. H. ve Howe, D. C. (2000). Trust online. Communications of the ACM, 43(12), 34-40.
  • Gefen, D. (1997). Building users’ trust in freeware providers and the effects of this trust on users’ perceptions of usefulness, ease of use and intended use of freeware (Doctoral dissertation). Georgia State University.
  • Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737.
  • Gefen, D., Karahanna, E. & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (2014). Multivariate data analysis, 5(3), 207-219. Upper Saddle River, NJ: Prentice hall. Hardin, R. (2002). Trust and Trustworthiness. New York, NY: Russell Sage Foundation.
  • Hew, T.-S. & Syed Abdul Kadir, S. L. (2016). Behavioural intention in cloud-based VLE: An extension to Channel Expansion Theory. Computers in Human Behavior, 64, 9-20.
  • Henson, R. K. & Roberts, J. K. (2006). Exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66(3), 393-416.
  • Hernandez-Ortega, B. (2011). The role of post-use trust in the acceptance of a technology: Drivers and consequences. Technovation, 31(10-11), 523-538.
  • Hinkin, T. R. (1995). A review of scale development practices in the study of organizations. Journal of management, 21(5), 967-988.
  • Hoe, S. L. (2008). Issues and procedures in adopting structural equation modeling technique. Journal of Applied Quantitative Methods, 3(1), 76-83.
  • Hoy, W. K. & Tschannen-Moran, M. (1999). Five faces of trust: An empirical confirmation in urban elementary schools. Journal of School Leadership, 9(3), 184-208.
  • Jairak, R., Praneetpolgrang, P. & Mekhabunchakij, K. (2009, December). An investigation of trust in e-learning for instructors and students in private and public universities. In Proc. 6th elearning for knowledge-based society conf., Thailand (pp. 17-18).
  • Kaiser, H.F. (1960). Little Jiffy, Mark IV. Educational and Psychological Measurement, 34, 111-117.
  • Karacabey, M. F., Bellibaş, M. Ş. & Adams, D. (2022). Principal leadership and teacher professional learning in Turkish schools: Examining the mediating effects of collective teacher efficacy and teacher trust. Educational studies, 48(2), 253-272.
  • Karaman H., Atar B.G. & Aktan, D.Ç. (2017). Açımlayıcı faktör analizinde kullanılan faktör çıkartma yöntemlerinin karşılaştırılması. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 37(3), 1173-1193.
  • Karimov, F. P., Brengman, M. & Van Hove, L. (2011). The effect of website design dimensions on initial trust: A synthesis of the empirical literature. Journal of Electronic Commerce Research, 12(4).
  • Khialani, D. (2018). The Influence of Website Design on Online Trust in Electronic Commerce Retailing Environments (Doctoral dissertation, Nova Southeastern University).
  • Kılıç Çakmak, E., Çebi, A. & Kan, A. (2014). E-öğrenme ortamlarına yönelik “sosyal bulunuşluk ölçeği” geliştirme çalışması. Kuram ve Uygulamada Eğitim Bilimleri, 14(2), 755-768.
  • Kline, R. B. (2011). Principle and practice of structural equation modelling. (Third Edition). New York: The Guilford Press.
  • Korba, L. & Xu, Y. (2002). A trust model for distributed e-Learning service control. In eLearn: World Conference on EdTech (pp. 2419-2434). Association for the Advancement of Computing in Education (AACE).
  • Launer, M., Çetin, F. & Paliszkiewicz, J. (2022). Digital trust in the workplace: Testing a new instrument on a multicultural sample. Forum Scientiae Oeconomia, 10(1), 22-45.
  • Lankton, N. K., McKnight, D. H. & Tripp, J. (2015). Technology, humanness, and trust: Rethinking trust in technology. Journal of the Association for Information Systems, 16(10), 1.
  • Ledesma, R.D. & Varelo-Mora, P. (2007) Determining the Number of Factors to Retain in EFA: An Easy to Use Computer Program for Carrying out Parallel Analysis. Practical Assessment, Research & Evaluation, 12, 1-11.
  • Lee, B.-C., Yoon, J.-O. & Lee, I. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53(4), 1320-1329.
  • Lee, J. D. & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46(1), 50-80.
  • Lee, M. K. O. & Turban, E. (2001). A trust model for consumer Internet shopping. International Journal of Electronic Commerce, 6(1), 75-91.
  • Lewicki, R. J., McAllister, D. J. & Bies, R. J. (1998). Trust and distrust: New relationships and realities. Academy of Management Review, 23(3), 438-458.
  • Li, C-H. Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48, 936–949.
  • Lippert, S. K. (2001). An exploratory study into the relevance of trust in the context of information systems technology (Doctoral dissertation, George Washington University).
  • Lippert, S. K. (2004). The effect of trust on personal web usage in the workplace. In M. Anandarajan & C. A. Simmers (Eds.), Personal web usage in the workplace: A guide to effective human resources management (pp. 80-100). Idea Group Publishing
  • Lippert, S. K. & Forman, H. (2006). A supply chain study of technology trust and antecedents to technology internalization consequences. International Journal of Physical Distribution & Logistics Management, 36(4), 271-288.
  • Lippert, S. K. & Swiercz, P. M. (2005). Human resource information systems (HRIS) and technology trust. Journal of Information Science, 31(5), 340-353.
  • Liu, Y. & Wu, Y. (2010, October). A survey on trust and trustworthy e-learning system. In 2010 International Conference on Web Information Systems and Mining (Vol. 1, pp. 118-122). IEEE.
  • Mayer, R. C., Davis, J. H. & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734.
  • McDonald, J. K. & Yanchar, S. C. (2024). Understanding trust in online course design. TechTrends. McKnight, D. H. (2005). Trust in information technology. In G. B. Davis (Ed.), The Blackwell encyclopedia of management. Vol. 7: Management information systems (pp. 329-331). Blackwell.
  • McKnight, D. H., Carter, M., Thatcher, J. B. & Clay, P. (2011). Trust in a specific technology: An investigation of its components and measures. ACM Transactions on Management Information Systems, 2(2), 1-25.
  • McKnight, D. H. & Chervany, N. L. (1996). The meanings of trust. Technical Report. Michigan State University & University of Minnesota Twin Cities.
  • Muir, B. M. (1994). Trust in automation: Part I. Theoretical issues in the study of trust and human intervention in automated systems. Ergonomics, 37(11), 1905-1922.
  • Murray, C. (2008). Schools and social networking: Fear or education. Synergy, 6(1), 8-9.
  • Nazaretsky, T., Cukurova, M. & Alexandron, G. (2022). An instrument for measuring teachers’ trust in AI-based educational technology. Proceedings of the 12th International Learning Analytics and Knowledge Conference (LAK22), March 21–25, 2022.
  • Ooge, J., Dereu, L. & Verbert, K. (2023). Steering recommendations and visualising its impact: effects on adolescents’ trust in e-learning platforms. In Proceedings of the 28th international conference on intelligent user interfaces (pp. 156-170).
  • Ooge, J., Kato, S. & Verbert, K. (2022). Explaining recommendations in e-learning: Effects on adolescents' trust. In Proceedings of the 27th International Conference on Intelligent User Interfaces (pp. 93-105).
  • Özçelik, D.A. (2010) Test Hazırlama Klavuzu, PEGEM A Yayıncılık, Ankara.
  • Özkök, G. A. (2009). Çevrim içi öğrenme ortamlarında disiplinlerarası yaklaşım. Akademik Bilişim Konferansı Bildirileri, 477-487.
  • Özkök, G. A. (2013). Web-Tabanlı Öğrenme Ortamı Ölçeği Türkçe Formunun Geçerlilik ve Güvenirlilik Çalışması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 28(2), 335-347.
  • Özkök, A., Walker, S. L. & Büyüköztürk, Ş. (2009). Reliability and validity of a Turkish version of the DELES. Learning environments research, 12, 175-190.
  • Paliszkiewicz, J. & Skarzyńska, E. (2021). The role of trust in online learning. In Online Learning Analytics (pp. 197-213). Springer.
  • Pavlou, P. A. & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information Systems Research, 15(1), 37-59.
  • Pelet, J.-E. & Papadopoulou, P. (2012). Investigating the effect of color on memorization and trust in e-learning. International Journal of Technology and Human Interaction, 8(4), 1-14.
  • Pham, C. H., Vu, N. H. & Tran, G. T. H. (2020). The role of e-learning service quality and e-trust on e-loyalty. Management Science Letters, 10(12), 2741-2750.
  • Pietrzak, P. & Takala, J. (2021). Digital trust–asystematic literature review. Forum Scientiae Oeconomia 9(3), 59-71.
  • Revelle, W. (2022). psych: Procedures for Psychological, Psychometric, and Personality Research [R package]. Retrieved from https://personality-project.org/r/psych
  • Rofiah, C., Amelia, A. & Ronald, R. (2023). The importance of e-trust and e-satisfaction in asynchronous online learning. Review of Integrative Business and Economics Research, 12(1), 195-212.
  • Rotter, J. B. (1967). A new scale for the measurement of interpersonal trust. Journal of personality.
  • Rousseau, D. M., Sitkin, S. B., Burt, R. S. & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393-404.
  • Schumacker, R.E. & Lomax, R.G. (2015). A Beginner’s Guide to Structural Equation Modeling. Mahwah, New Jersey: Lawrence Erlbaum Associates, Publishers.
  • Shahzad, M. F., Xu, S. & Javed, I. (2024). ChatGPT awareness, acceptance, and adoption in higher education: The role of trust as a cornerstone. International Journal of Educational Technology in Higher Education, 21(46), 1-23.
  • Shapiro, S. P. (1987). The social control of impersonal trust. American Journal of Sociology, 93(3), 623-658.
  • Stevens, J. P. (2002). Applied multivariate statistics for the social sciences (Fourth Edition). New Jersey: Lawrance Erlbaum Association, Inc.
  • Tabachnick, B. G. & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Pearson Education.
  • Tabachnick, B.G., Fidell, L.S. (2013). Using Multivariate Statistics. Boston: Pearson.
  • Taddeo, M. (2011). Defining trust and e-trust. International Journal of Technology and Human Interaction, 7(2), 23-36.
  • Tamimi, N. & Sebastianelli, R. (2007). Understanding etrust. Journal of Information Privacy and Security, 3(2), 3-17.
  • Thompson, B. (2004). Explaratory and Confirmatory Factor Analysis: Understanding Concepts and Applications. (First Edition). Washington: American Psychological Association.
  • Velicer, W. F. & Jackson, D. N. (1990). Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure. Multivariate Behavioral Research, 25(1), 1–28.
  • Walker, S. L. (2004). Learning environment research: A review of the literature. Learning Environments Monograph, 3.
  • Wang, Y. D. & Emurian, H. H. (2005). An overview of online trust: Concepts, elements, and implications. Computers in human behavior, 21(1), 105-125.
  • Wang, Y. D. (2014). Building student trust in online learning environments. Distance Education, 35(3), 345-359.
  • Wang, D., Bian, C. & Chen, G. (2024). Using explainable AI to unravel classroom dialogue analysis: Effects of explanations on teachers' trust, technology acceptance and cognitive load. British Journal of Educational Technology, 00(0), 1-27.
  • Yıldırım, A., Şimşek, H. (2013). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (9). İstanbul: Seçkin.
  • Zucker, L. G. (1986). Production of trust: Institutional sources of economic structure, 1840 to 1920. Research in Organizational Behavior, 8, 53-111.

Mesleki Gelişimde Çevrim içi Öğrenme Ortamlarına Yönelik Öğretmen Güveni Ölçeği Geliştirme Çalışması

Yıl 2025, Cilt: 44 Sayı: 2, 697 - 754, 31.12.2025
https://doi.org/10.7822/omuefd.1664833

Öz

Bu çalışmanın amacı, öğretmenlerin çevrim içi öğrenme ortamlarına yönelik güven algılarını ölçmek üzere geçerli ve güvenilir bir ölçme aracı geliştirmektir. Ölçek, 2024-2025 eğitim-öğretim yılı bahar döneminde Samsun İl Milli Eğitim Müdürlüğü’ne bağlı resmi okullarda görev yapan ve çalışmaya gönüllü olarak katılan 610 öğretmene uygulanmıştır. Örneklem seçimi, ölçüt örnekleme yöntemi ile gerçekleştirilmiş olup, Öğretmen Bilişim Ağı (ÖBA) üzerinden Fatih Projesi BT’nin ve İnternetin Bilinçli Kullanımı Kursu’nu tamamlamış olmak ölçüt olarak belirlenmiştir. Ölçek formu, öğretmenlere çevrim içi olarak sunulmuş ve yanıtlar yine çevrim içi ortamda toplanmıştır. Elde edilen veri seti rastgele iki gruba ayrılmış (n₁ = 296, n₂ = 314) ve birinci grup üzerinde Açımlayıcı Faktör Analizi, ikinci grup üzerinde ise Doğrulayıcı Faktör Analizi uygulanmıştır. Açımlayıcı faktör analizi sonucunda, 15 madde ve üç faktörden oluşan bir yapı elde edilmiştir. Ölçeğin toplam varyans açıklayıcılığı %71,157 olarak hesaplanmış ve faktörler alan yazın doğrultusunda “Sistem Yönetimine Güven”, “Eğitim İçeriğine Güven” ve “Öğrenme Ortamına Güven” olarak adlandırılmıştır. Doğrulayıcı faktör analizi sonuçları, ölçeğin üç faktörlü yapısının doğrulandığını ve önerilen modelin iyi uyum gösterdiğini ortaya koymuştur (RMSEA = 0,086, CFI = 0,97, NFI = 0,96, GFI = 0,89, IFI = 0,97, SRMR = 0,065). Ölçeğin güvenirliği, Cronbach alfa katsayısı ile değerlendirilmiş olup, ölçeğin tamamı için  = 0.924 olarak hesaplanmıştır. Boyutlara ilişkin Cronbach alfa katsayıları ise 0,876 ile 0,929 arasında değişim göstermiştir. Bu bulgular, geliştirilen ölçeğin yüksek düzeyde güvenilir bir ölçme aracı olduğunu göstermektedir. Sonuç olarak, öğretmenlerin çevrim içi öğrenme ortamlarına yönelik güven algılarını ölçmeye yönelik geçerli ve güvenilir bir ölçek geliştirilmiş ve psikometrik özellikleri doğrulanmıştır.

Kaynakça

  • Akram, R. N. & Ko, R. K. (2014). Digital trust-trusted computing and beyond: A position paper. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (pp. 884-892). IEEE.
  • Aljazzaf, Z. M., Perry, M. & Capretz, M. A. M. Online trust: Definition and principles. University of Western Ontario.
  • Anwar, M. & Greer, J. (2012). Facilitating trust in privacy-preserving e-learning environments. IEEE Transactions on Learning Technologies, 5(1), 62-75.
  • Balaman, F. Baş, M. (2023). Perception of using e-learning platforms in the scope of the technology acceptance model (TAM): a scale development study. Interactive Learning Environments, 31(8), 5395-5419.
  • Balaskas, S., Tsiantos, V., Chatzifotiou, S. & Rigou, M. (2025). Determinants of ChatGPT adoption intention in higher education: Expanding on TAM with the mediating roles of trust and risk. Information, 16(82).
  • Baykul, Y. (2010). Eğitimde ölçme ve değerlendirme. Pegem Akademi Yayıncılık.
  • Bektaş, F., Kılınç, A. Ç. & Gümüş, S. (2022). The effects of distributed leadership on teacher professional learning: mediating roles of teacher trust in principal and teacher motivation. Educational studies, 48(5), 602-624.
  • Ben Mansour, K. (2016). An analysis of business’ acceptance of internet banking: an integration of e-trust to the TAM. Journal of Business & Industrial Marketing, 31(8), 982-994.
  • Benbasat, I. & Wang, W. (2005). Trust in and adoption of online recommendation agents. Journal of the association for information systems, 6(3), 4.
  • Benda, A. N., Kramer, W. S., Baak, M. E. & Feitosa, J. (2023). Understanding trust in virtual work teams. In L. L. Gilson, T. O’Neill ve M. T. Maynard (Eds.), Handbook of Virtual Work (pp. 305-324). Edward Elgar Publishing. Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial test. Journal of Management Information Systems, 19(1), 211-241.
  • Bøe, T. (2018). E-learning technology and higher education: The impact of organizational trust. Tertiary Education and Management, 24(4), 362-376.
  • Büyüköztürk, Ş. (2002). Faktör analizi: Temel kavramlar ve ölçek geliştirmede kullanımı. Kuram ve Uygulamada Eğitim Yönetimi, 32, 470-483.
  • Byrne, B. M. (2011). Structural equation modeling with AMOS: Basic concepts, applications, and programming (Multivariate Applications Series). Routledge.
  • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276. https://doi.org/10.1207/s15327906mbr0102_10
  • Chang, V. & Fisher, D. (2003). The validation and application of a new learning environment instrument for online learning in higher education. In Technology-rich learning environments: A future perspective (pp. 1-20).
  • Chen, Y.-H. & Barnes, S. (n.d.). Initial trust and online buyer behaviour. Norwich Business School, University of East Anglia.
  • Cheung, R. & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160-175.
  • Choi, S., Jang, Y. & Kim, H. (2023). Influence of pedagogical beliefs and perceived trust on teachers’ acceptance of educational artificial intelligence tools. International Journal of Human–Computer Interaction, 39(4), 910-922.
  • Choung, H., David, P. & Ross, A. (2023). Trust in AI and its role in the acceptance of AI technologies. International Journal of Human–Computer Interaction, 39(9), 1727-1739.
  • Cui, W., Shen, H., Yan, Y. Q. & Shi-zheng, H. (2020). The impact of E-service quality in P2P accommodations on customer behavior intention: Evidence from chinese customers. Revista Argentina de Clínica Psicológica, 29(5), 296.
  • Çelen, F. K. & Seferoğlu, S. S. (2016). Hizmet-içi eğitim etkinlikleri kapsamında çevrim-içi ortamların kullanılması: Gözlemler, sorunlar ve çözüm önerileri üzerine değerlendirmeler. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 31(1), 25-40.
  • Çokluk, Ö., Şekerci, G. & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi.
  • Doğan, N., Soysal, S. & Karaman, H. (2017). Aynı Örnekleme Açımlayıcı Ve Doğrulayıcı Faktör Analizi Uygulanabilir mi? Küreselleşen dünyada eğitim.(1 Baskı) içinde (372-400). İstanbul: Pegem Akademi.
  • Dede, C., Eisenkraft, A., Frumin, K., & Hartley, A. (Eds.). (2016). Teacher learning in the digital age: Online professional development in STEM education. Harvard Education Press.
  • Erkuş, A. (2014). Psikolojide ölçme ve ölçek geliştirme I. Ankara: Pegem Akademi Yayınları.
  • George, D. & Mallery, M. (2010). SPSS for Windows step by step: A simple guide and reference (10th ed.). Pearson.
  • Ejdys, J. (2018). Building technology trust in ICT application at a university. International Journal of Emerging Markets, 13(5), 995-1013.
  • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2015). How to design and evaluate research in education (9th ed.). New York, NY: McGraw-Hill Education.
  • Francis, A. P. (2010). Why do some preservice teachers trust digital technology and others don't? Conceptualizing the intersection of trust, technology, and education (Doctoral dissertation, Michigan State University). ProQuest Dissertations Publishing.
  • Francis, A. & Mishra, P. (2008, March). Why do Some Teachers Trust Digital Technologies and Others Don't?. In Society for Information Technology & Teacher Education International Conference (pp. 3749-3751). Association for the Advancement of Computing in Education (AACE).
  • Friedman, B., Kahn, P. H. ve Howe, D. C. (2000). Trust online. Communications of the ACM, 43(12), 34-40.
  • Gefen, D. (1997). Building users’ trust in freeware providers and the effects of this trust on users’ perceptions of usefulness, ease of use and intended use of freeware (Doctoral dissertation). Georgia State University.
  • Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737.
  • Gefen, D., Karahanna, E. & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (2014). Multivariate data analysis, 5(3), 207-219. Upper Saddle River, NJ: Prentice hall. Hardin, R. (2002). Trust and Trustworthiness. New York, NY: Russell Sage Foundation.
  • Hew, T.-S. & Syed Abdul Kadir, S. L. (2016). Behavioural intention in cloud-based VLE: An extension to Channel Expansion Theory. Computers in Human Behavior, 64, 9-20.
  • Henson, R. K. & Roberts, J. K. (2006). Exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66(3), 393-416.
  • Hernandez-Ortega, B. (2011). The role of post-use trust in the acceptance of a technology: Drivers and consequences. Technovation, 31(10-11), 523-538.
  • Hinkin, T. R. (1995). A review of scale development practices in the study of organizations. Journal of management, 21(5), 967-988.
  • Hoe, S. L. (2008). Issues and procedures in adopting structural equation modeling technique. Journal of Applied Quantitative Methods, 3(1), 76-83.
  • Hoy, W. K. & Tschannen-Moran, M. (1999). Five faces of trust: An empirical confirmation in urban elementary schools. Journal of School Leadership, 9(3), 184-208.
  • Jairak, R., Praneetpolgrang, P. & Mekhabunchakij, K. (2009, December). An investigation of trust in e-learning for instructors and students in private and public universities. In Proc. 6th elearning for knowledge-based society conf., Thailand (pp. 17-18).
  • Kaiser, H.F. (1960). Little Jiffy, Mark IV. Educational and Psychological Measurement, 34, 111-117.
  • Karacabey, M. F., Bellibaş, M. Ş. & Adams, D. (2022). Principal leadership and teacher professional learning in Turkish schools: Examining the mediating effects of collective teacher efficacy and teacher trust. Educational studies, 48(2), 253-272.
  • Karaman H., Atar B.G. & Aktan, D.Ç. (2017). Açımlayıcı faktör analizinde kullanılan faktör çıkartma yöntemlerinin karşılaştırılması. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 37(3), 1173-1193.
  • Karimov, F. P., Brengman, M. & Van Hove, L. (2011). The effect of website design dimensions on initial trust: A synthesis of the empirical literature. Journal of Electronic Commerce Research, 12(4).
  • Khialani, D. (2018). The Influence of Website Design on Online Trust in Electronic Commerce Retailing Environments (Doctoral dissertation, Nova Southeastern University).
  • Kılıç Çakmak, E., Çebi, A. & Kan, A. (2014). E-öğrenme ortamlarına yönelik “sosyal bulunuşluk ölçeği” geliştirme çalışması. Kuram ve Uygulamada Eğitim Bilimleri, 14(2), 755-768.
  • Kline, R. B. (2011). Principle and practice of structural equation modelling. (Third Edition). New York: The Guilford Press.
  • Korba, L. & Xu, Y. (2002). A trust model for distributed e-Learning service control. In eLearn: World Conference on EdTech (pp. 2419-2434). Association for the Advancement of Computing in Education (AACE).
  • Launer, M., Çetin, F. & Paliszkiewicz, J. (2022). Digital trust in the workplace: Testing a new instrument on a multicultural sample. Forum Scientiae Oeconomia, 10(1), 22-45.
  • Lankton, N. K., McKnight, D. H. & Tripp, J. (2015). Technology, humanness, and trust: Rethinking trust in technology. Journal of the Association for Information Systems, 16(10), 1.
  • Ledesma, R.D. & Varelo-Mora, P. (2007) Determining the Number of Factors to Retain in EFA: An Easy to Use Computer Program for Carrying out Parallel Analysis. Practical Assessment, Research & Evaluation, 12, 1-11.
  • Lee, B.-C., Yoon, J.-O. & Lee, I. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53(4), 1320-1329.
  • Lee, J. D. & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46(1), 50-80.
  • Lee, M. K. O. & Turban, E. (2001). A trust model for consumer Internet shopping. International Journal of Electronic Commerce, 6(1), 75-91.
  • Lewicki, R. J., McAllister, D. J. & Bies, R. J. (1998). Trust and distrust: New relationships and realities. Academy of Management Review, 23(3), 438-458.
  • Li, C-H. Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48, 936–949.
  • Lippert, S. K. (2001). An exploratory study into the relevance of trust in the context of information systems technology (Doctoral dissertation, George Washington University).
  • Lippert, S. K. (2004). The effect of trust on personal web usage in the workplace. In M. Anandarajan & C. A. Simmers (Eds.), Personal web usage in the workplace: A guide to effective human resources management (pp. 80-100). Idea Group Publishing
  • Lippert, S. K. & Forman, H. (2006). A supply chain study of technology trust and antecedents to technology internalization consequences. International Journal of Physical Distribution & Logistics Management, 36(4), 271-288.
  • Lippert, S. K. & Swiercz, P. M. (2005). Human resource information systems (HRIS) and technology trust. Journal of Information Science, 31(5), 340-353.
  • Liu, Y. & Wu, Y. (2010, October). A survey on trust and trustworthy e-learning system. In 2010 International Conference on Web Information Systems and Mining (Vol. 1, pp. 118-122). IEEE.
  • Mayer, R. C., Davis, J. H. & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734.
  • McDonald, J. K. & Yanchar, S. C. (2024). Understanding trust in online course design. TechTrends. McKnight, D. H. (2005). Trust in information technology. In G. B. Davis (Ed.), The Blackwell encyclopedia of management. Vol. 7: Management information systems (pp. 329-331). Blackwell.
  • McKnight, D. H., Carter, M., Thatcher, J. B. & Clay, P. (2011). Trust in a specific technology: An investigation of its components and measures. ACM Transactions on Management Information Systems, 2(2), 1-25.
  • McKnight, D. H. & Chervany, N. L. (1996). The meanings of trust. Technical Report. Michigan State University & University of Minnesota Twin Cities.
  • Muir, B. M. (1994). Trust in automation: Part I. Theoretical issues in the study of trust and human intervention in automated systems. Ergonomics, 37(11), 1905-1922.
  • Murray, C. (2008). Schools and social networking: Fear or education. Synergy, 6(1), 8-9.
  • Nazaretsky, T., Cukurova, M. & Alexandron, G. (2022). An instrument for measuring teachers’ trust in AI-based educational technology. Proceedings of the 12th International Learning Analytics and Knowledge Conference (LAK22), March 21–25, 2022.
  • Ooge, J., Dereu, L. & Verbert, K. (2023). Steering recommendations and visualising its impact: effects on adolescents’ trust in e-learning platforms. In Proceedings of the 28th international conference on intelligent user interfaces (pp. 156-170).
  • Ooge, J., Kato, S. & Verbert, K. (2022). Explaining recommendations in e-learning: Effects on adolescents' trust. In Proceedings of the 27th International Conference on Intelligent User Interfaces (pp. 93-105).
  • Özçelik, D.A. (2010) Test Hazırlama Klavuzu, PEGEM A Yayıncılık, Ankara.
  • Özkök, G. A. (2009). Çevrim içi öğrenme ortamlarında disiplinlerarası yaklaşım. Akademik Bilişim Konferansı Bildirileri, 477-487.
  • Özkök, G. A. (2013). Web-Tabanlı Öğrenme Ortamı Ölçeği Türkçe Formunun Geçerlilik ve Güvenirlilik Çalışması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 28(2), 335-347.
  • Özkök, A., Walker, S. L. & Büyüköztürk, Ş. (2009). Reliability and validity of a Turkish version of the DELES. Learning environments research, 12, 175-190.
  • Paliszkiewicz, J. & Skarzyńska, E. (2021). The role of trust in online learning. In Online Learning Analytics (pp. 197-213). Springer.
  • Pavlou, P. A. & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information Systems Research, 15(1), 37-59.
  • Pelet, J.-E. & Papadopoulou, P. (2012). Investigating the effect of color on memorization and trust in e-learning. International Journal of Technology and Human Interaction, 8(4), 1-14.
  • Pham, C. H., Vu, N. H. & Tran, G. T. H. (2020). The role of e-learning service quality and e-trust on e-loyalty. Management Science Letters, 10(12), 2741-2750.
  • Pietrzak, P. & Takala, J. (2021). Digital trust–asystematic literature review. Forum Scientiae Oeconomia 9(3), 59-71.
  • Revelle, W. (2022). psych: Procedures for Psychological, Psychometric, and Personality Research [R package]. Retrieved from https://personality-project.org/r/psych
  • Rofiah, C., Amelia, A. & Ronald, R. (2023). The importance of e-trust and e-satisfaction in asynchronous online learning. Review of Integrative Business and Economics Research, 12(1), 195-212.
  • Rotter, J. B. (1967). A new scale for the measurement of interpersonal trust. Journal of personality.
  • Rousseau, D. M., Sitkin, S. B., Burt, R. S. & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393-404.
  • Schumacker, R.E. & Lomax, R.G. (2015). A Beginner’s Guide to Structural Equation Modeling. Mahwah, New Jersey: Lawrence Erlbaum Associates, Publishers.
  • Shahzad, M. F., Xu, S. & Javed, I. (2024). ChatGPT awareness, acceptance, and adoption in higher education: The role of trust as a cornerstone. International Journal of Educational Technology in Higher Education, 21(46), 1-23.
  • Shapiro, S. P. (1987). The social control of impersonal trust. American Journal of Sociology, 93(3), 623-658.
  • Stevens, J. P. (2002). Applied multivariate statistics for the social sciences (Fourth Edition). New Jersey: Lawrance Erlbaum Association, Inc.
  • Tabachnick, B. G. & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Pearson Education.
  • Tabachnick, B.G., Fidell, L.S. (2013). Using Multivariate Statistics. Boston: Pearson.
  • Taddeo, M. (2011). Defining trust and e-trust. International Journal of Technology and Human Interaction, 7(2), 23-36.
  • Tamimi, N. & Sebastianelli, R. (2007). Understanding etrust. Journal of Information Privacy and Security, 3(2), 3-17.
  • Thompson, B. (2004). Explaratory and Confirmatory Factor Analysis: Understanding Concepts and Applications. (First Edition). Washington: American Psychological Association.
  • Velicer, W. F. & Jackson, D. N. (1990). Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure. Multivariate Behavioral Research, 25(1), 1–28.
  • Walker, S. L. (2004). Learning environment research: A review of the literature. Learning Environments Monograph, 3.
  • Wang, Y. D. & Emurian, H. H. (2005). An overview of online trust: Concepts, elements, and implications. Computers in human behavior, 21(1), 105-125.
  • Wang, Y. D. (2014). Building student trust in online learning environments. Distance Education, 35(3), 345-359.
  • Wang, D., Bian, C. & Chen, G. (2024). Using explainable AI to unravel classroom dialogue analysis: Effects of explanations on teachers' trust, technology acceptance and cognitive load. British Journal of Educational Technology, 00(0), 1-27.
  • Yıldırım, A., Şimşek, H. (2013). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (9). İstanbul: Seçkin.
  • Zucker, L. G. (1986). Production of trust: Institutional sources of economic structure, 1840 to 1920. Research in Organizational Behavior, 8, 53-111.
Toplam 102 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Türkçe ve Sosyal Bilimler Eğitimi (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Seda Arslan 0009-0009-0458-6831

G. Alev Özkök 0000-0003-4519-6521

Gönderilme Tarihi 24 Mart 2025
Kabul Tarihi 24 Ekim 2025
Yayımlanma Tarihi 31 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 44 Sayı: 2

Kaynak Göster

APA Arslan, S., & Özkök, G. A. (2025). Mesleki Gelişimde Çevrim içi Öğrenme Ortamlarına Yönelik Öğretmen Güveni Ölçeği Geliştirme Çalışması. Ondokuz Mayis University Journal of Education Faculty, 44(2), 697-754. https://doi.org/10.7822/omuefd.1664833