Araştırma Makalesi
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Yabancı Dil Olarak Türkçe Öğrenenlerin Kullandıkları İnternet Kaynakları ve Yapay Zekâ Araçları Üzerine Bir Araştırma

Yıl 2025, Cilt: 10 Sayı: 2, 295 - 325, 19.09.2025

Öz

Bu çalışmanın temel amacı, yabancı dil olarak Türkçe öğrenenlerin Türkçe öğrenme
sürecinde tercih ettikleri İnternet eğitim araçlarını ve yapay zekâ destekli uygulamaları
belirlemektir. Bu araştırma, nitel araştırma yöntemlerinden biri olan durum çalışmasıdır.
Araştırmanın verileri, yabancı dil olarak Türkçe öğrenenlerin İnternet kaynakları ve
yapay zekâ uygulamalarından hangilerini kullandıklarını belirlemek için bir yarı
yapılandırılmış görüşme formu aracılığıyla toplanmıştır. Veriler, Türkiye'deki beş farklı
üniversitenin Türkçe öğretim merkezlerinde eğitim alan ve çeşitli seviyelerde bulunan
yabancı dil olarak Türkçe öğrenen öğrencilerden oluşan bir çalışma grubuyla elde
edilmiştir. Bu çalışmanın verileri betimsel analizle incelenmiştir. Araştırmanın sonuçları
incelendiğinde öğrencilerin yirmi dört farklı uygulama ve araçtan en çok tercih ettikleri
ilk üç uygulama %52,24 ile YouTube, %11,43 ile ChatGPT ve %5,71 ile Google
Translate olmuştur. Katılımcıların %25,25’i kullandığı kaynaklar hakkında olumsuz
görüş bildirmiştir ancak buna karşın %74,75’i uygulamalar hakkında olumlu görüş
bildirmiştir. Kullanılan yirmi dört farklı araçtan en etkili bulunan ilk üç araç %35,43 ile
YouTube, %19,69 ile ChatGPT ve %11,02 ile Google Translate olmuştur. Öğrencilerin
kullandıkları araçlarda görmek istedikleri yirmi dört farklı özellik belirlenmiş olup,
bunlardan en öne çıkanlar dil bilgisi öğretimi, kısa videolarla içerik aktarımı ve konuşma
pratiği imkanıdır. Çalışma, yabancı dil olarak Türkçe öğrenenlerin çevrimiçi kaynaklar
ve yapay zekâ uygulamaları kullanımına yönelik beklentilerini tespit etmiş; mevcut
kaynakların değerlendirilmesi ve geliştirilmesi konusunda öneriler sunmuştur.

Kaynakça

  • AbuSeileek, A. F. ve Qatawneh, K. (2013). Effects of synchronous and asynchronous computer-mediated communication (CMC) oral conversations on English language learners' discourse functions. Computers & Education, 62, 181-190. Doi: https://doi.org/10.1016/j.compedu.2012.10.013
  • Akkaya, N. ve Şengül, L. (2023). Sohbet Robotları (Chatbots) ve Yabancı Dil Eğitimi. Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi. (58), 2988-2999. Doi: https://doi.org/10.53444/deubefd.1340781
  • Ali, Z. (2020, February). Artificial intelligence (AI): A review of its uses in language teaching and learning. In IOP Conference Series: Materials Science and Engineering (Vol. 769, No. 1, p. 012043). IOP Publishing. Doi: https://dx.doi.org/10.1088/1757-899X/769/1/012043
  • Aloraini, N. (2018). Investigating Instagram as an EFL learning tool. Arab World English Journal (AWEJ) Special Issue on CALL, (4). Doi: https:// dx.doi.org/10.24093/awej/call4.13
  • Amin, M. Y. M. (2023). AI and chat GPT in language teaching: Enhancing EFL classroom support and transforming assessment techniques. International Journal of Higher Education Pedagogies, 4(4), 1-15. Doi: https://doi.org/10.33422/ijhep.v4i4.554
  • Andujar, A. ve Çakmak, F. (2023). Foreign language learning through instagram: a flipped learning approach. In Research Anthology on Applying Social Networking Strategies to Classrooms and Libraries (pp. 278- 299). IGI Global. Doi: https://doi.org/10.4018/978-1-6684-7123-4.ch016
  • Anyim, W. O. (2020). Students’ perception of electronic resources, usefulness and enhancement strategies for effective distance learning programme. Electronic Research Journal of Engineering, Computer and Applied Sciences, 2(1), 104-116.
  • Bahri, H. ve Mahadi, T. S. T. (2016). Google Translate as a supplementary tool for learning Malay: A case study at Universiti Sains Malaysia. Advances in Language and Literary Studies, 7(3), 161-167. Doi: https:// dx.doi.org/10.7575/aiac.alls.v.7n.3p.161
  • Baltacı, A. (2018). Nitel araştırmalarda örnekleme yöntemleri ve örnek hacmi sorunsalı üzerine kavramsal bir inceleme. Bitlis Eren Üniversitesi Sosyal Bilimler Dergisi, 7(1), 231-274.
  • Baskara, R. (2023). Exploring the implications of ChatGPT for language learning in higher education. Indonesian Journal of English Language Teaching and Applied Linguistics, 7(2), 343-358. Doi: http://dx.doi. org/10.210 93/ijeltal.v7i2.1387
  • Bax, S. (2003). CALL—past, present and future. System, 31(1), 13- 28. Doi: https://doi.org/10.1016/S0346-251X(02)00071-4
  • Bax, S. (2011). Normalisation revisited: The effective use of technology in language education. International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 1(2), 1-15.
  • Britsch, S. (2009). ESOL educators and the experience of visual literacy. TESOL Quarterly, 43(4), 710-721. Doi:10.2307/3585497
  • Brook, J. (2011). The affordances of YouTube for language learning and teaching. Hawaii Pacific University TESOL Working Paper Series, 9(1), 2.
  • Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö., Karadeniz, Ş. ve Demirel, F (Ed.). (2019). Eğitimde bilimsel araştırma yöntemleri içinde. (ss.158-161). Pegem Akademi.
  • Cancino, M. ve Panes, J. (2021). The impact of Google Translate on L2 writing quality measures: Evidence from Chilean EFL high school learners. System, 98, 102464. Doi: https://doi.org/10.1016/j.system.2021.102464
  • Creighton, T. B. (2018). Digital Natives, Digital Immigrants, Digital Learners: An International Empirical Integrative Review of the Literature. Education Leadership Review, 19(1), 132-140.
  • Creswell, J. (2007). Research design. (S. Demir, Çev.) Eğiten.
  • Dörnyei, Z. ve Chan, L. (2013). Motivation and vision: An analysis of future L2 self images, sensory styles, and imagery capacity across two target languages. Language learning, 63(3), 437-462. Doi: https://doi. org/10.1111/lang.12005
  • Ducar, C. ve Schocket, D. H. (2018). Machine translation and the L2 classroom: Pedagogical solutions for making peace with Google translate. Foreign Language Annals, 51(4), 779-795. Doi: :10.1111/flan.12366
  • Godwin-Jones, R. (2023). Emerging spaces for language learning: AI bots, ambient intelligence, and the metaverse. Language Learning & Technology, 27(2), 6–27. Doi: https://hdl.handle.net/10125/73501.
  • Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L. ve Freynik, S. (2014). Technologies for foreign language learning: A review of technology types and their effectiveness. Computer assisted language learning, 27(1), 70-105. Doi: 10.1080/09588221.2012.700315
  • Han, Y. (2020). Connecting the past to the future of computer-assisted language learning: Theory, practice, and research. Issues and Trends in Learning Technologies, 8(1). Doi: 10.2458/azu_itlt_v8i1_han
  • Haznedar, B. (2015). Türkiye’de yabancı dil öğretimi: İlköğretim yabancı dil programı. Boğaziçi Üniversitesi Eğitim Dergisi, 21(2), 15-29.
  • Hockly, N. (2023). Artificial intelligence in English language teaching: The good, the bad and the ugly. Relc Journal, 54(2), 445-451. Doi: https://doi.org/10.1177/00336882231168504
  • Huang, J. ve Li, S. (2023). Opportunities and challenges in the application of ChatGPT in foreign language teaching. IJESSR, 6(4), 75-89. Doi: 10.37500/IJESSR.2023.6406
  • Jiasheng, H. ve Yajuan, Q. (2023). When Confronted with ChatGPT, How will China’s Foreign Language Education Policy React: Seeking Changes and Adaption, Technology Enhanced Foreign Language Education. Doi: https://doi.org/10.58557/(ijeh).v4i1.202
  • Junior, R. C. G. (2020). Instanarratives: Stories of foreign language learning on Instagram. System, 94, 102330.Doi: https://doi.org/10.1016/j. system.2020.102330
  • Kabooha, R. ve Elyas, T. (2018). The effects of YouTube in multimedia instruction for vocabulary learning: Perceptions of EFL students and teachers. English language teaching, 11(2), 72-81. Doi: 10.5539/elt. v11n2p72
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A Study on the Internet Resources and AI Tools Used by Learners of Turkish as a Foreign Language

Yıl 2025, Cilt: 10 Sayı: 2, 295 - 325, 19.09.2025

Öz

The primary aim of this study is to identify the Internet educational tools and AI
supported applications preferred by learners of Turkish as a foreign language during their
Turkish learning process. This research employs a case study, which is one of the
qualitative research methods. The data for the study were collected through a semi
structured interview form to determine which Internet resources and AI applications are
used by learners of Turkish as a foreign language. The data were obtained from a group
of foreign language learners studying at Turkish teaching centers in five different
universities in Turkey, representing various proficiency levels. The data of this study were
analyzed descriptively. When examining the results, the top three applications preferred
by students out of twenty-four different tools were YouTube at 52.24%, ChatGPT at
11.43%, and Google Translate at 5.71%. While 25.25% of participants expressed negative
opinions about the resources they used, 74.75% reported positive feedback about the
applications. Among the twenty-four different tools used, the top three deemed most
effective were YouTube at 35.43%, ChatGPT at 19.69%, and Google Translate at
11.02%. Students identified twenty-four different features they wish to see in the tools
they use, with the most prominent being grammar instruction, content delivery through
short videos, and opportunities for speaking practice. This study has identified the
expectations of learners of Turkish as a foreign language regarding the use of Internet
resources and AI applications and has provided suggestions for the evaluation and
improvement of existing resources.

Kaynakça

  • AbuSeileek, A. F. ve Qatawneh, K. (2013). Effects of synchronous and asynchronous computer-mediated communication (CMC) oral conversations on English language learners' discourse functions. Computers & Education, 62, 181-190. Doi: https://doi.org/10.1016/j.compedu.2012.10.013
  • Akkaya, N. ve Şengül, L. (2023). Sohbet Robotları (Chatbots) ve Yabancı Dil Eğitimi. Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi. (58), 2988-2999. Doi: https://doi.org/10.53444/deubefd.1340781
  • Ali, Z. (2020, February). Artificial intelligence (AI): A review of its uses in language teaching and learning. In IOP Conference Series: Materials Science and Engineering (Vol. 769, No. 1, p. 012043). IOP Publishing. Doi: https://dx.doi.org/10.1088/1757-899X/769/1/012043
  • Aloraini, N. (2018). Investigating Instagram as an EFL learning tool. Arab World English Journal (AWEJ) Special Issue on CALL, (4). Doi: https:// dx.doi.org/10.24093/awej/call4.13
  • Amin, M. Y. M. (2023). AI and chat GPT in language teaching: Enhancing EFL classroom support and transforming assessment techniques. International Journal of Higher Education Pedagogies, 4(4), 1-15. Doi: https://doi.org/10.33422/ijhep.v4i4.554
  • Andujar, A. ve Çakmak, F. (2023). Foreign language learning through instagram: a flipped learning approach. In Research Anthology on Applying Social Networking Strategies to Classrooms and Libraries (pp. 278- 299). IGI Global. Doi: https://doi.org/10.4018/978-1-6684-7123-4.ch016
  • Anyim, W. O. (2020). Students’ perception of electronic resources, usefulness and enhancement strategies for effective distance learning programme. Electronic Research Journal of Engineering, Computer and Applied Sciences, 2(1), 104-116.
  • Bahri, H. ve Mahadi, T. S. T. (2016). Google Translate as a supplementary tool for learning Malay: A case study at Universiti Sains Malaysia. Advances in Language and Literary Studies, 7(3), 161-167. Doi: https:// dx.doi.org/10.7575/aiac.alls.v.7n.3p.161
  • Baltacı, A. (2018). Nitel araştırmalarda örnekleme yöntemleri ve örnek hacmi sorunsalı üzerine kavramsal bir inceleme. Bitlis Eren Üniversitesi Sosyal Bilimler Dergisi, 7(1), 231-274.
  • Baskara, R. (2023). Exploring the implications of ChatGPT for language learning in higher education. Indonesian Journal of English Language Teaching and Applied Linguistics, 7(2), 343-358. Doi: http://dx.doi. org/10.210 93/ijeltal.v7i2.1387
  • Bax, S. (2003). CALL—past, present and future. System, 31(1), 13- 28. Doi: https://doi.org/10.1016/S0346-251X(02)00071-4
  • Bax, S. (2011). Normalisation revisited: The effective use of technology in language education. International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 1(2), 1-15.
  • Britsch, S. (2009). ESOL educators and the experience of visual literacy. TESOL Quarterly, 43(4), 710-721. Doi:10.2307/3585497
  • Brook, J. (2011). The affordances of YouTube for language learning and teaching. Hawaii Pacific University TESOL Working Paper Series, 9(1), 2.
  • Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö., Karadeniz, Ş. ve Demirel, F (Ed.). (2019). Eğitimde bilimsel araştırma yöntemleri içinde. (ss.158-161). Pegem Akademi.
  • Cancino, M. ve Panes, J. (2021). The impact of Google Translate on L2 writing quality measures: Evidence from Chilean EFL high school learners. System, 98, 102464. Doi: https://doi.org/10.1016/j.system.2021.102464
  • Creighton, T. B. (2018). Digital Natives, Digital Immigrants, Digital Learners: An International Empirical Integrative Review of the Literature. Education Leadership Review, 19(1), 132-140.
  • Creswell, J. (2007). Research design. (S. Demir, Çev.) Eğiten.
  • Dörnyei, Z. ve Chan, L. (2013). Motivation and vision: An analysis of future L2 self images, sensory styles, and imagery capacity across two target languages. Language learning, 63(3), 437-462. Doi: https://doi. org/10.1111/lang.12005
  • Ducar, C. ve Schocket, D. H. (2018). Machine translation and the L2 classroom: Pedagogical solutions for making peace with Google translate. Foreign Language Annals, 51(4), 779-795. Doi: :10.1111/flan.12366
  • Godwin-Jones, R. (2023). Emerging spaces for language learning: AI bots, ambient intelligence, and the metaverse. Language Learning & Technology, 27(2), 6–27. Doi: https://hdl.handle.net/10125/73501.
  • Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L. ve Freynik, S. (2014). Technologies for foreign language learning: A review of technology types and their effectiveness. Computer assisted language learning, 27(1), 70-105. Doi: 10.1080/09588221.2012.700315
  • Han, Y. (2020). Connecting the past to the future of computer-assisted language learning: Theory, practice, and research. Issues and Trends in Learning Technologies, 8(1). Doi: 10.2458/azu_itlt_v8i1_han
  • Haznedar, B. (2015). Türkiye’de yabancı dil öğretimi: İlköğretim yabancı dil programı. Boğaziçi Üniversitesi Eğitim Dergisi, 21(2), 15-29.
  • Hockly, N. (2023). Artificial intelligence in English language teaching: The good, the bad and the ugly. Relc Journal, 54(2), 445-451. Doi: https://doi.org/10.1177/00336882231168504
  • Huang, J. ve Li, S. (2023). Opportunities and challenges in the application of ChatGPT in foreign language teaching. IJESSR, 6(4), 75-89. Doi: 10.37500/IJESSR.2023.6406
  • Jiasheng, H. ve Yajuan, Q. (2023). When Confronted with ChatGPT, How will China’s Foreign Language Education Policy React: Seeking Changes and Adaption, Technology Enhanced Foreign Language Education. Doi: https://doi.org/10.58557/(ijeh).v4i1.202
  • Junior, R. C. G. (2020). Instanarratives: Stories of foreign language learning on Instagram. System, 94, 102330.Doi: https://doi.org/10.1016/j. system.2020.102330
  • Kabooha, R. ve Elyas, T. (2018). The effects of YouTube in multimedia instruction for vocabulary learning: Perceptions of EFL students and teachers. English language teaching, 11(2), 72-81. Doi: 10.5539/elt. v11n2p72
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  • Kelsen, B. (2009). Teaching EFL to the iGeneration: A survey of using YouTube as supplementary material with college EFL students in Taiwan. Call-EJ Online, 10(2), 1-18.
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  • Loewen, S., Crowther, D., Isbell, D. R., Kim, K. M., Maloney, J., Miller, Z. F. ve Rawal, H. (2019). Mobile-assisted language learning: A Duolingo case study. ReCALL, 31(3), 293-311. Doi: https://doi.org/10.1017/ S0958344019000065
  • Luo, M. ve Cheng, L. (2020, July). Exploration of interactive foreign language teaching mode based on artificial intelligence. In 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL) (pp. 285-290). IEEE. Doi:10.1109/CVIDL51233.2020.00-84
  • Mackinnon, T. (2013). Using e-tools to facilitate international collaborations and enhance language teaching. The Higher Education Academy.
  • Mahdi, D. A. (2022). Improving speaking and presentation skills through interactive multimedia environment for non-native speakers of English. SAGE Open, 12(1), 21582440221079811. Doi: https://doi. org/10.1177/2158244022107981
  • Mohamed, A. M. (2024). Exploring the potential of an AI-based Chatbot (ChatGPT) in enhancing English as a Foreign Language (EFL) teaching: perceptions of EFL Faculty Members. Education and Information Technologies, 29(3), 3195-3217. Doi: 10.1007/s10639-023-11917-z
  • Nasrullah, N. ve Al Wahyu, T. (2024). The Application of Chat GPT in English Language Evaluation: A Systematic Literature Review. Futurity Education, 4(3), 217-235.Doi: https://doi.org/10.57125/ FED.2024.09.25.13
  • Nushi, M. ve Eqbali, M. H. (2017). Duolingo: A Mobile Application to Assist Second Language Learning. Teaching English with Technology, 17(1), 89-98.
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  • York, J. (2011). Reasons for using YouTube in the language classroom including practical usage examples. The JALT Call Journal, 7(2), 207- 215.Doi: 10.29140/jaltcall.v7n2.117
  • Zileli, E. N. (2023). Yabancı Dil Olarak Türkçe Öğreniminde ChatGPT Örneği. Uluslararası Karamanoğlu Mehmetbey Eğitim Araştırmaları Dergisi, 5(1), 42-51. https://doi.org/10.47770/ukmead.1296013
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  • Wei, L. K. (2021). The use of Google Translate in English language learning: how students view it. International Journal of Advanced Research in Education and Society, 3(1), 47-53.
Toplam 69 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Türkçe Eğitimi
Bölüm Araştırma Makalesi
Yazarlar

Eda Tekin 0000-0001-6831-8101

Yusuf Karakahraman 0000-0002-7384-1746

Yayımlanma Tarihi 19 Eylül 2025
Gönderilme Tarihi 24 Ocak 2025
Kabul Tarihi 10 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 10 Sayı: 2

Kaynak Göster

APA Tekin, E., & Karakahraman, Y. (2025). Yabancı Dil Olarak Türkçe Öğrenenlerin Kullandıkları İnternet Kaynakları ve Yapay Zekâ Araçları Üzerine Bir Araştırma. Aydın Tömer Dil Dergisi, 10(2), 295-325.


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