Eğitimde Chatbot Kullanmaya ve Öğrenmeye Yönelik Davranışsal Niyet Ölçeğinin Türkçeye Uyarlanması

Öz

Bu araştırmada, Mokmin ve Ibrahim (2021) tarafından geliştirilen “Chatbot Kullanmaya ve Öğrenmeye Yönelik Davranışsal Niyet Ölçeği”nin Türkçe’ye uyarlaması amaçlanmaktadır. Ölçeğin orijinali 24 maddeden ve 8 alt boyuttan oluşmaktadır. Ölçek 7’li Likert tipindedir. Ölçeğin amacı birleştirilmiş teknoloji kabulü ve kullanımı 2 (Unified Theory of Acceptance and Use of Technology 2-UTAUT2) modeli çerçevesinde sohbet robotları olan chatbot teknolojilerinin eğitimde kullanmaya ve öğrenmeye yönelik davranışlarını belirlemektir. Bu araştırma, 729 üniversite öğrencisi ile elverişli örnekleme yöntemi kullanılarak gerçekleştirilmiştir. Ölçek uyarlama sürecinde öncelikle ölçek yazarları Mokmin ve Ibrahim’den izin alınmıştır. Ölçek maddelerinin çevirisi yapılarak dil uzmanlarının görüşleri alınmıştır. Daha sonra ölçek maddeleri iki alan uzmanın görüşüne sunulmuştur. Ölçeğe son hali verildikten sonra chatbot konusunda bilgilendirme sunulan öğrencilere ölçek uygulanmıştır. Son aşamada ölçeğin geçerlik ve güvenirliği hesaplanmıştır. Verilerin analizinde, ölçeğin geçerlik ve güvenirlik çalışmaları için çeşitli analizler kullanılmıştır. Ölçeğin geçerli ve güvenilir olduğu bulunmuştur. Araştırma sonucunda chatbot kabul ve kullanım davranışlarını belirleme amaçlı geçerli ve güvenilir bir ölçek alanyazına kazandırılmıştır.

Anahtar Kelimeler

• UTAUT2
• Chatbot
• Davranışsal niyet
• Chatbot kullanma ve öğrenme
• Üniversite öğrencileri.

Adaptation of Behavioral Intention to Use and Learn Chatbot in Education Scale into Turkish

Abstract

This study aims to adapt the "Behavioral Intention to Use/Learn Chatbots" developed by Mokmin and Ibrahim (2021) into Turkish. The original scale consists of 24 items and 8 sub-dimensions. The scale is 7-point Likert type. The aim of the scale is to determine the behaviors towards using and learning chatbot technologies in education within the framework of Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. This study was conducted with 729 university students using convenience sampling method. In the scale adaptation process, permission was first obtained from the scale authors. The scale items were translated and the opinions of language experts were obtained. Then, the scale items were presented to two field experts. After finalizing the scale, the scale was applied to the students who were informed about chatbot. The scale's reliability and validity were determined in the final phase. Various techniques were utilized in the data analysis to examine the validity and reliability of the scale. The scale was discovered to be dependable and genuine. The study led to the introduction of a valid and trustworthy scale for assessing chatbot adoption and usage behaviors in the literature.

Keywords

• UTAUT2
• Chatbot
• Behavioural intention
• Use and learn chatbot
• University students.

Kaynakça

1. Brown, T. A. (2006). Confirmatory Factor Analysis for Applied Research. (First Edition). NY: Guilford Publications, Inc.
2. Fryer, L. K., Thompson, A., Nakao, K., Howarth, M., & Gallacher, A. (2020). Supporting self-efficacy beliefs and interest as educational inputs and outcomes: Framing AI and Human partnered task experiences. Learning and Individual Differences, 80, 101850.
3. Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7.
4. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
5. Iku-Silan, A., Hwang, G. J., & Chen, C. H. (2023). Decision-guided chatbots and cognitive styles in interdisciplinary learning. Computers & Education, 201, 104812.
6. Jöreskog, K. G. & Sörbom, D. (1993). LISREL 8: Structural Eguation Modeling with the Simplis Command Language. USA: Scientific Software ınternational, Inc.
7. Kim, J. W., Jo, H. I., & Lee, B. G. (2019). The study on the factors influencing on the behavioral intention of chatbot service for the financial sector: Focusing on the UTAUT model. Journal of Digital Contents Society, 20(1), 41-50.
8. Koh, J. H. L., & Kan, R. Y. P. (2021). Students’ use of learning management systems and desired e-learning experiences: Are they ready for next generation digital learning environments?. Higher Education Research & Development, 40(5), 995-1010.

9. Mateos-Sanchez, M., Melo, A. C., Blanco, L. S., & García, A. M. F. (2022). Chatbot, as educational and inclusive tool for people with intellectual disabilities. Sustainability, 14(3), 1520.
10. Mokmin, N. A. M., & Ibrahim, N. A. (2021). The evaluation of chatbot as a tool for health literacy education among undergraduate students. Education and Information Technologies, 26(5), 6033-6049.
11. Raffaghelli, J. E., Rodríguez, M. E., Guerrero-Roldán, A. E., & Baneres, D. (2022). Applying the UTAUT model to explain the students' acceptance of an early warning system in Higher Education. Computers & Education, 182, 104468.
12. Schumacker, R. E. and Lomax, R. G. (1996). A Beginner’s Guide to Structural Equation Modeling. (First Edition). NJ: Lawrence Erlbaum Associates, Inc.
13. Şimşek, Ö.F. (2007). Yapısal eşitlik modellemesine giriş; temel ilkeler ve LİSREL uygulamaları. Ankara: Ekinoks Yayıncılık.
14. Teo, T., Doleck, T., Bazelais, P., & Lemay, D. J. (2019). Exploring the drivers of technology acceptance: a study of Nepali school students. Educational Technology Research and Development, 67, 495-517.
15. 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.
16. Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. F. (1977). Assessing reliability and stability in panel models. Sociological Methodology, 8, 84-136.
17. Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of enterprise information management, 28(3), 443-488.
18. Yildiz Durak, H. (2019). Examining the acceptance and use of online social networks by preservice teachers within the context of unified theory of acceptance and use of technology model. Journal of Computing in Higher Education, 31(1), 173-209.
19. Yildiz Durak, H. (2023). Conversational agent-based guidance: examining the effect of chatbot usage frequency and satisfaction on visual design self-efficacy, engagement, satisfaction, and learner autonomy. Education and Information Technologies, 28(1), 471-488. https://doi.org/10.1007/s10639-022-11149-7
20. Yildiz Durak, H., & Onan, A. (2023a, July). Adaptation of Chatbot Confirmation and Usage Continuance Scale into Turkish. In 1st International Conference on Modern and Advanced Research.
21. Yildiz Durak, H., & Onan, A. (2023b, July). An Examination of Studies on the Use of Chatbot Technology in the Field of Education. In International Conference on Applied Engineering and Natural Sciences (Vol. 1, No. 1, pp. 121-124).
22. Yildiz Durak, H., & Onan, A. (2023c, July). Turkish Adaptation of the Chatbot System, Information and Service Quality Scale. In International Conference on Applied Engineering and Natural Sciences (Vol. 1, No. 1, pp. 114-117).
23. Yılmaz, Y. (2019). Bilimsel çalışmalarda teknoloji kullanımına yönelik lisansüstü öğrencilerin algıları. Necmettin Erbakan Üniversitesi Ereğli Eğitim Fakültesi Dergisi, 1(2), 123-134.