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Students' Behavioral Intentions Towards Learning and Using Chatbots in Education

Yıl 2025, Cilt: 8 Sayı: 1, 26 - 52, 31.05.2025
https://doi.org/10.53048/johass.1621817

Öz

Chatbots are artificial intelligence programs that interact with humans through text-based communication. These tools, which are widely used in many fields such as health, finance, and e-commerce, also play an important role in education. They contribute to students in various, areas such as providing information about learning materials, assisting with homework, providing guidance, and giving instant feedback. In addition, chatbots can create personalized lesson plans tailored to students' individual learning needs and track students' progress through data analysis. In addition to the advantages offered by chatbots, it is also important to examine students' attitudes towards using these tools. Therefore, this study aims to analyze students' behavioral intentions towards using chatbots in their education and training processes in detail and to reveal the main factors behind these intentions. The quantitative research method was adopted in the study, and a static group pretest-posttest design, one of the experimental designs, was used. Within the scope of the study, unlike the control group, the experimental group used chatbots in the activities included in the lesson plan for seven weeks. Participants were selected by the convenience sampling method, and a total of 72 students were included in the study. In the study, the “Behavioral Intentions towards the Use of Chatbots in Education and Learning” scale was used as a data collection tool. The differences between the pre-test and post-test scores of the groups were analyzed with an independent samples t-test; paired samples t-test was applied to determine the differences within groups. The findings revealed that there was a significant difference in the behavioral intentions of the experimental group towards using chatbots in education and training compared to the control group. In addition, when within-group differences were examined, it was found that there was a significant increase in the behavioral intentions of the experimental group, while there was no significant difference in the control group

Kaynakça

  • Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
  • Aktay, S., Gök, S., & Uzunoğlu, D. (2023). ChatGPT in education. Türk Akademik Yayınlar Dergisi (TAY Journal), 7(2), 378-406. 10.29329/tayjournal.2023.543.03
  • Al-Abdullatif, A. M., Al-Dokhny, A. A., & Drwish, A. M. (2023). Implementing the Bashayer chatbot in Saudi higher education: measuring the influence on students' motivation and learning strategies. Frontiers in Psychology, 14, 1129070. https://doi.org/10.3389/fpsyg.2023.1129070
  • Alshammari, S. H., & Babu, E. (2025). The mediating role of satisfaction in the relationship between perceived usefulness, perceived ease of use and students’ behavioural intention to use ChatGPT. Scientific Reports, 15(1), 7169.
  • Arruda, D., Marinho, M., Souza, E., & Wanderley, F. (2019). A chatbot for goal-oriented requirements modeling. In S. Misra et al. (Eds.), Computational science and its applications – ICCSA 2019. Lecture notes in computer science, 11622, 506–519. Springer.
  • Arslan, K. (2020). Eğitimde yapay zekâ ve uygulamaları [Artificial intelligence and its applications in education]. Western Anatolia Journal of Educational Sciences, 11(1), 71-88.
  • Ayanwale, M. A., & Molefi, R. R. (2024). Exploring intention of undergraduate students to embrace chatbots: from the vantage point of Lesotho. International Journal of Educational Technology in Higher Education, 21(1), 20. https://doi.org/10.1186/s41239-024-00451-8
  • Ayanwale, M. A., & Ndlovu, M. (2024). Investigating factors of students' behavioral intentions to adopt chatbot technologies in higher education: Perspective from expanded diffusion theory of innovation. Computers in Human Behavior Reports, 100396. https://doi.org/10.1016/j.chbr.2024.100396
  • Barış, A. (2020). A new marketing tool: chatbot. GSI Journals Serie B: Advancements in Business and Economics, 3(1), 31-46. https://doi.org/10.5281/zenodo.4030216
  • Belda-Medina, J., & Calvo-Ferrer, J. R. (2022). Using chatbots as AI conversational partners in language learning. Applied Sciences, 12(17), 8427. https://doi.org/10.3390/app12178427
  • Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068. https://doi.org/10.1016/j.caeai.2022.100068
  • Bilquise, G., Ibrahim, S., & Salhieh, S. E. M. (2024). Investigating student acceptance of an academic advising chatbot in higher education institutions. Education and Information Technologies, 29(5), 6357-6382. https://doi.org/10.1007/s10639-023-12076-x
  • Brandtzaeg, P.B. & Folstad, A. (2017) Why People Use Chatbots. 2017 International Conference on Internet Science, Thessaloniki, 22-24 November 2017, 377-392. https://doi.org/10.1007/978-3-319-70284-1_30
  • Büyüköztürk, Ş. (2017). Sosyal Bilimler için veri analizi el kitabı (23. Baskı). Pegem Akademi
  • Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö., Karadeniz, Ş., & Demirel, F. (2017). Bilimsel araştırma yöntemleri. Pegem Akademi.
  • Cano, C., & Troya, A. (2023). Artificial Intelligence applied to teaching and learning processes. LatIA. https://doi.org/10.62486/latia20232.
  • Cerullo, M J., & Cerullo, V. (1999, May 1). Using neural networks to predict financial reporting fraud: Part 1. Elsevier BV, 1999(5), 14-17. 10.24198/jaab.v4i2.34914
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278. 10.1109/ACCESS.2020.2988510
  • Coppin, B. (2004). Artificial intelligence illuminated. Jones & Bartlett Learning.
  • Creswell, J. W. (2013). Nitel araştırma yöntemleri. İstanbul: Siyasal Kitapevi.
  • Deveci Topal, A., Dilek Eren, C., & Kolburan Geçer, A. (2021). Chatbot application in a 5th grade science course. Education and Information Technologies, 26(5), 6241-6265.
  • Devi, S. (2024). Artificial Intelligence in Medicine. International Journal For Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2024.v06i01.12490 .
  • Drigas, A. S., Argyri, K., & Vrettaros, J. (2009). Decade review (1999-2009). Artificial intelligence techniques in student modeling. In P. Kommers, G. Richards (Eds.), Proceedings of the Second world summit on the knowledge society, WSKS 2009 (Vol. 2, pp. 552-564). Springer Berlin Heidelberg. 10.1504/IJSHC.2009.031006
  • Durak Yıldız, H. & Onan, A. (2023). Eğitimde chatbot kullanmaya ve öğrenmeye yönelik davranışsal niyet ölçeğinin türkçeye uyarlanması. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi, 5(3), 1162-1172. https://doi.org/10.38151/akef.2023.104
  • Fahimirad, M., & Kotamjani, S. S. (2018). A review on application of artificial intelligence in teaching and learning in educational contexts. International Journal of Learning and Development, 8(4), 106-118. 10.5296/ijld.v8i4.14057
  • Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage Publications Ltd.
  • Filiz, O., Kaya, M. H., & Adiguzel, T. (2025). Teachers and AI: Understanding the factors influencing AI integration in K-12 education. Education and Information Technologies, 1-37. https://doi.org/10.1007/s10639-025-13463-2
  • Fontenelle-Tereshchuk, D. (2024). Academic writing and ChatGPT: Students transitioning into college in the shadow of the COVID-19 pandemic. Discover Education, 3(1), 1-10. https://doi.org/10.1007/s44217-023-00076-5
  • George, D. ve Mallery, P. (2019). IBM SPSS Statistics 26 Step by Step: A Simple Guideand Reference (16th edition). New York: Routledge. https://doi.org/10.4324/9780429056765
  • Grudin, G., & Jacques, R. (2019, May 4-9). Chatbots, humbots, and the quest for artificial. General intelligence. [Conference session]. CHI '19: CHI Conference on Human Factors in Computing Systems. Glasgow, Scotland, UK.
  • Gulati, A., Saini, H., Singh, S., & Kumar, V. (2024). Enhancıng learning potential: Investigating marketing students’behavioral intentions to adopt CHATGPT. Marketing Education Review, 1-34.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. ve Tatham, R. L. (2013). Multivariate Data Analysis: Pearson Education Limited.
  • Haristiani, N. (2019, November). Artificial Intelligence (AI) chatbot as language learning medium: An inquiry. In Journal of Physics: Conference Series (Vol. 1387, No. 1, p. 012020). IOP Publishing.
  • Heller, B., Proctor, M., Mah, D., Jewell, L., & Cheung, B. (2005). Freudbot: An investigation of chatbot technology in distance education. In P. Kommers, G. Richards (Eds.), Proceedings of EdMedia þ innovate learning 2005 (Vol. 6, pp. 3913–3918). Association for the Advancement of Computing in Education (AACE).
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  • Kuruca, Y., Üstüner, M., & Şimşek, I. (2022). Dijital pazarlamada yapay zekâ kullanımı: sohbet robotu (chatbot). Medya ve Kültür, 2(1), 88-113.
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Students' Behavioral Intentions Towards Learning and Using Chatbots in Education

Yıl 2025, Cilt: 8 Sayı: 1, 26 - 52, 31.05.2025
https://doi.org/10.53048/johass.1621817

Öz

Chatbots are artificial intelligence programs that interact with humans through text-based communication. These tools, which are widely used in many fields such as health, finance, and e-commerce, also play an important role in education. They contribute to students in various, areas such as providing information about learning materials, assisting with homework, providing guidance, and giving instant feedback. In addition, chatbots can create personalized lesson plans tailored to students' individual learning needs and track students' progress through data analysis. In addition to the advantages offered by chatbots, it is also important to examine students' attitudes towards using these tools. Therefore, this study aims to analyze students' behavioral intentions towards using chatbots in their education and training processes in detail and to reveal the main factors behind these intentions. The quantitative research method was adopted in the study, and a static group pretest-posttest design, one of the experimental designs, was used. Within the scope of the study, unlike the control group, the experimental group used chatbots in the activities included in the lesson plan for seven weeks. Participants were selected by the convenience sampling method, and a total of 72 students were included in the study. In the study, the “Behavioral Intentions towards the Use of Chatbots in Education and Learning” scale was used as a data collection tool. The differences between the pre-test and post-test scores of the groups were analyzed with an independent samples t-test; paired samples t-test was applied to determine the differences within groups. The findings revealed that there was a significant difference in the behavioral intentions of the experimental group towards using chatbots in education and training compared to the control group. In addition, when within-group differences were examined, it was found that there was a significant increase in the behavioral intentions of the experimental group, while there was no significant difference in the control group

Kaynakça

  • Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
  • Aktay, S., Gök, S., & Uzunoğlu, D. (2023). ChatGPT in education. Türk Akademik Yayınlar Dergisi (TAY Journal), 7(2), 378-406. 10.29329/tayjournal.2023.543.03
  • Al-Abdullatif, A. M., Al-Dokhny, A. A., & Drwish, A. M. (2023). Implementing the Bashayer chatbot in Saudi higher education: measuring the influence on students' motivation and learning strategies. Frontiers in Psychology, 14, 1129070. https://doi.org/10.3389/fpsyg.2023.1129070
  • Alshammari, S. H., & Babu, E. (2025). The mediating role of satisfaction in the relationship between perceived usefulness, perceived ease of use and students’ behavioural intention to use ChatGPT. Scientific Reports, 15(1), 7169.
  • Arruda, D., Marinho, M., Souza, E., & Wanderley, F. (2019). A chatbot for goal-oriented requirements modeling. In S. Misra et al. (Eds.), Computational science and its applications – ICCSA 2019. Lecture notes in computer science, 11622, 506–519. Springer.
  • Arslan, K. (2020). Eğitimde yapay zekâ ve uygulamaları [Artificial intelligence and its applications in education]. Western Anatolia Journal of Educational Sciences, 11(1), 71-88.
  • Ayanwale, M. A., & Molefi, R. R. (2024). Exploring intention of undergraduate students to embrace chatbots: from the vantage point of Lesotho. International Journal of Educational Technology in Higher Education, 21(1), 20. https://doi.org/10.1186/s41239-024-00451-8
  • Ayanwale, M. A., & Ndlovu, M. (2024). Investigating factors of students' behavioral intentions to adopt chatbot technologies in higher education: Perspective from expanded diffusion theory of innovation. Computers in Human Behavior Reports, 100396. https://doi.org/10.1016/j.chbr.2024.100396
  • Barış, A. (2020). A new marketing tool: chatbot. GSI Journals Serie B: Advancements in Business and Economics, 3(1), 31-46. https://doi.org/10.5281/zenodo.4030216
  • Belda-Medina, J., & Calvo-Ferrer, J. R. (2022). Using chatbots as AI conversational partners in language learning. Applied Sciences, 12(17), 8427. https://doi.org/10.3390/app12178427
  • Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068. https://doi.org/10.1016/j.caeai.2022.100068
  • Bilquise, G., Ibrahim, S., & Salhieh, S. E. M. (2024). Investigating student acceptance of an academic advising chatbot in higher education institutions. Education and Information Technologies, 29(5), 6357-6382. https://doi.org/10.1007/s10639-023-12076-x
  • Brandtzaeg, P.B. & Folstad, A. (2017) Why People Use Chatbots. 2017 International Conference on Internet Science, Thessaloniki, 22-24 November 2017, 377-392. https://doi.org/10.1007/978-3-319-70284-1_30
  • Büyüköztürk, Ş. (2017). Sosyal Bilimler için veri analizi el kitabı (23. Baskı). Pegem Akademi
  • Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö., Karadeniz, Ş., & Demirel, F. (2017). Bilimsel araştırma yöntemleri. Pegem Akademi.
  • Cano, C., & Troya, A. (2023). Artificial Intelligence applied to teaching and learning processes. LatIA. https://doi.org/10.62486/latia20232.
  • Cerullo, M J., & Cerullo, V. (1999, May 1). Using neural networks to predict financial reporting fraud: Part 1. Elsevier BV, 1999(5), 14-17. 10.24198/jaab.v4i2.34914
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278. 10.1109/ACCESS.2020.2988510
  • Coppin, B. (2004). Artificial intelligence illuminated. Jones & Bartlett Learning.
  • Creswell, J. W. (2013). Nitel araştırma yöntemleri. İstanbul: Siyasal Kitapevi.
  • Deveci Topal, A., Dilek Eren, C., & Kolburan Geçer, A. (2021). Chatbot application in a 5th grade science course. Education and Information Technologies, 26(5), 6241-6265.
  • Devi, S. (2024). Artificial Intelligence in Medicine. International Journal For Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2024.v06i01.12490 .
  • Drigas, A. S., Argyri, K., & Vrettaros, J. (2009). Decade review (1999-2009). Artificial intelligence techniques in student modeling. In P. Kommers, G. Richards (Eds.), Proceedings of the Second world summit on the knowledge society, WSKS 2009 (Vol. 2, pp. 552-564). Springer Berlin Heidelberg. 10.1504/IJSHC.2009.031006
  • Durak Yıldız, H. & Onan, A. (2023). Eğitimde chatbot kullanmaya ve öğrenmeye yönelik davranışsal niyet ölçeğinin türkçeye uyarlanması. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi, 5(3), 1162-1172. https://doi.org/10.38151/akef.2023.104
  • Fahimirad, M., & Kotamjani, S. S. (2018). A review on application of artificial intelligence in teaching and learning in educational contexts. International Journal of Learning and Development, 8(4), 106-118. 10.5296/ijld.v8i4.14057
  • Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage Publications Ltd.
  • Filiz, O., Kaya, M. H., & Adiguzel, T. (2025). Teachers and AI: Understanding the factors influencing AI integration in K-12 education. Education and Information Technologies, 1-37. https://doi.org/10.1007/s10639-025-13463-2
  • Fontenelle-Tereshchuk, D. (2024). Academic writing and ChatGPT: Students transitioning into college in the shadow of the COVID-19 pandemic. Discover Education, 3(1), 1-10. https://doi.org/10.1007/s44217-023-00076-5
  • George, D. ve Mallery, P. (2019). IBM SPSS Statistics 26 Step by Step: A Simple Guideand Reference (16th edition). New York: Routledge. https://doi.org/10.4324/9780429056765
  • Grudin, G., & Jacques, R. (2019, May 4-9). Chatbots, humbots, and the quest for artificial. General intelligence. [Conference session]. CHI '19: CHI Conference on Human Factors in Computing Systems. Glasgow, Scotland, UK.
  • Gulati, A., Saini, H., Singh, S., & Kumar, V. (2024). Enhancıng learning potential: Investigating marketing students’behavioral intentions to adopt CHATGPT. Marketing Education Review, 1-34.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. ve Tatham, R. L. (2013). Multivariate Data Analysis: Pearson Education Limited.
  • Haristiani, N. (2019, November). Artificial Intelligence (AI) chatbot as language learning medium: An inquiry. In Journal of Physics: Conference Series (Vol. 1387, No. 1, p. 012020). IOP Publishing.
  • Heller, B., Proctor, M., Mah, D., Jewell, L., & Cheung, B. (2005). Freudbot: An investigation of chatbot technology in distance education. In P. Kommers, G. Richards (Eds.), Proceedings of EdMedia þ innovate learning 2005 (Vol. 6, pp. 3913–3918). Association for the Advancement of Computing in Education (AACE).
  • Huang, W., Tavares, N. J., Du, J., & Hew, K. F. (2022, December). Using chatbot as a goal-setting facilitator in an online course: students’ performance and teacher’s perception. In 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) (pp. 389-395). IEEE.
  • İşler, B., & Kılıç, M. (2021). Eğitimde yapay zekâ kullanımı ve gelişimi. E-Journal of New Media, 5(1), 1-11.
  • Karasar, N. (2007). Bilimsel araştırma yöntemleri (17. baskı). Nobel Yayıncılık.
  • Khan, R., & Das, A. (2018). Build better chatbots. A complete guide to getting started with chatbots. https://doi.org/10.1007/978-1-4842-3111-1
  • Kış, A. (2019, May 2-4). Eğitimde yapay zekâ [Artificial intelligence in education]. 14th International Education Management Congress Full Text Proceedings, 197-202. Çeşme, İzmir, Turkey.
  • Kim, H., Yang, H., Shin, D., & Lee, J. H. (2022). Design principles and architecture of a second language learning chatbot. Language Learning & Technology, 26(1), 1–18. http://hdl.handle.net/10125/73463
  • Kim, K. J., & Han, H. J. (2021). A design and effect of maker education using educational artificial intelligence tools in elementary online environment. Journal of Digital Convergence, 19(6), 61-71.
  • Kumaş, Ö. A., Dada, Ş. D., & Yıkmış, A. (2019). Öğrenme güçlüğü olan ve olmayan öğrencilerin sözel problem çözme ve okuduğunu anlama becerileri arasındaki ilişkiler. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 15(2), 542-554. https://doi.org/10.17860/mersinefd.474803
  • Kuruca, Y., Üstüner, M., & Şimşek, I. (2022). Dijital pazarlamada yapay zekâ kullanımı: sohbet robotu (chatbot). Medya ve Kültür, 2(1), 88-113.
  • Labadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI chatbots in education: systematic literature review. International Journal of Educational Technology in Higher Education, 20(1), 56. https://doi.org/10.1186/s41239-023-00426-1
  • Lee, G. G., & Zhai, X. (2024). Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning. arXiv preprint arXiv:2402.01674. https://doi.org/10.48550/arXiv.2402.01674
  • Li, L., Lee, K. Y., Emokpae, E., & Yang, S. B. (2021). What makes you continuously use chatbot services? Evidence from chinese online travel agencies. Electronic Markets, 31, 1-25. https://doi.org/10.1007/s12525-020-00454-z
  • Litvinova, O. V., Abrosimova, M. S., Vasilyeva, O. G., Filippova, S. P., Gordeeva, L. G., & Nesterova, N. V. (2020, November). Digital platform as a liaison mechanism and a business model in agribusiness. In IOP Conference Series: Earth and Environmental Science (Vol. 604, No. 1, p. 012033). IOP Publishing.
  • Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines Versus Humans: The Impact of AI Chatbot Disclosure on Customer Purchases. Marketing Science, 38(6), 937–947. https://doi.org/10.1287/mksc.2019.1192.
  • Meço, G., & Coştu, F. (2022). Eğitimde yapay zekânın kullanılması: Betimsel içerik analizi çalışması [Using artificial intelligence in education: Descriptive content analysis study]. Karadeniz Technical University Social Sciences Institute Journal of Social Sciences, 12(23), 171-193.
  • 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(6), 6033–6049. https://doi.org/10.1007/s10639-021-10542-y
  • Neo, M., Lee, C. P., Tan, H. Y. J., Neo, T. K., Tan, Y. X., Mahendru, N., & Ismat, Z. (2022). Enhancing students’ online learning experiences with artificial intelligence (AI): The MERLIN project. Int. J. Technol, 13, 1023-1034. https://doi.org/10.14716/ijtech.v13i5.5843
  • Nghi, T. T., Phuc, T. H., & Thang, N. T. (2019). Applying Al chatbot for teaching a foreign language: Empirical research. International Journal of Scientific & Technology Research, 8(12), 897-902.
  • Nikou, S. A., & Chang, M. (2023, May). Learning by Building Chatbot: A System Usability Study and Teachers’ Views About the Educational Uses of Chatbots. In International Conference on Intelligent Tutoring Systems (pp. 342-351). Cham: Springer Nature Switzerland. https://iis-international.org/its2023/
  • Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033
  • Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135–153. 10.2478/jolace-2019-0025
  • Romero Rodríguez, J. M., Ramírez-Montoya, M. S., Buenestado Fernández, M., & Lara Lara, F. (2023). Use of ChatGPT at university as a tool for complex thinking: Students' perceived usefulness. https://doi.org/10.7821/naer.2023.7.1458
  • Ryu, M., & Han, S. (2017). Image of artificial intelligence of elementary students by using semantic differential scale. Journal of The Korean Association of Information Education, 21(5), 527-535. Shahriar, S., & Hayawi, K. (2023). Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations. arXiv preprint arXiv:2302.13817.
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  • Strzelecki, A. (2024). Students’ acceptance of ChatGPT in higher education: An extended unified theory of acceptance and use of technology. Innovative higher education, 49(2), 223-245. https://doi.org/10.1007/s10755-023-09686-1
  • Tao, W., Yang, J., & Qu, X. (2024). Utilization of, Perceptions on, and Intention to Use AI Chatbots Among Medical Students in China: National Cross-Sectional Study. JMIR Medical Education, 10(1), e57132. https://mededu.jmir.org/2024/1/e57132 TDK. (2024). Chatbot. Türk Dil Kurumu. https://sozluk.gov.tr/
  • Tiwari, T., Tiwari, T., & Tiwari, S. (2018). How Artificial Intelligence, Machine Learning and Deep Learning are Radically Different? International Journal of Advanced Research in Computer Science and Software Engineering, 8(2), 1–9. https://doi.org/10.23956/IJARCSSE.V8I2.569.
  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178. https://ssrn.com/abstract=2002388
  • Vogel, J. (2017). Chatbots: Development and applications. HTW Berlin University of Applied Sciences, International Media and Computing Faculty, Bachelor’s Thesis.
  • Vogel, S., & García, O. (2017). Translanguaging. 10.1093/acrefore/9780190264093.013.181
  • Wadhawan, I., Jain, T., & Galhotra, B. (2023, May). Usage and Adoption of Chatbot in Education Sector. In 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1097-1103). IEEE.
  • Wu, E. H. K., Lin, C. H., Ou, Y. Y., Liu, C. Z., Wang, W. K., & Chao, C. Y. (2020). Advantages and constraints of a hybrid model K-12 e-learning assistant chatbot. IEEE Access, 8, 77788–77801. 10.1109/ACCESS.2020.2988252
  • Yin, J., Goh, T. T., Yang, B., & Xiaobin, Y. (2021). Conversation technology with micro-learning: The impact of chatbot-based learning on students’ learning motivation and performance. Journal of Educational Computing Research, 59(1), 154-177. https://doi.org/10.1177/0735633120952067
  • Zhai, X. (2022). ChatGPT user experience: Implications for education. Available at SSRN 4312418. https://doi.org/10.2139/ssrn.4312418
Toplam 70 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilim, Teknoloji ve Mühendislik Eğitimi ve Programlarının Geliştirilmesi
Bölüm Araştırma Makalesi
Yazarlar

Betül Yıldızhan Bora 0000-0002-4774-3907

Cansu Şahin Kölemen 0000-0003-2376-7899

Yayımlanma Tarihi 31 Mayıs 2025
Gönderilme Tarihi 17 Ocak 2025
Kabul Tarihi 31 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 1

Kaynak Göster

APA Yıldızhan Bora, B., & Şahin Kölemen, C. (2025). Students’ Behavioral Intentions Towards Learning and Using Chatbots in Education. İnsan ve Sosyal Bilimler Dergisi, 8(1), 26-52. https://doi.org/10.53048/johass.1621817

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