Journals / OPUS Toplum Araştırmaları Dergisi / 2021 / Cilt: 18 - Sayı: 43

Anadolu University Open Education Faculty Students’ Opinions on the Use of Artificial Intelligence Based Systems and Applications

Anadolu Üniversitesi Açıköğretim Fakültesi Öğrencilerinin Yapay Zekâ Tabanlı Sistemlerin Kullanımı ve Uygulamalarına İlişkin Görüşleri

Pages
6119–6142
Publication Date
2021-11-07
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this context, the study proves that students are limitedly aware of Artificial Intelligence-based systems used while learning foreign languages, and therefore, more studies on the subject should be conducted and these systems should be introduced to students.

📌 3 Key Takeaways

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Objective & Hypothesis:This study aims to examine to what extent are the students aware of the AI based systems used in language learning.
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Key Findings & Data:For this purpose, a web-based questionnaire was applied to 204 students with A1 and A2 English levels enrolled in the Open Education Faculty, and thus data were collected about the students' views on Artificial Intelligence-based systems that they use to improve their English speaking and writing skills.
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Conclusion & Impact:In this context, the study proves that students are limitedly aware of Artificial Intelligence-based systems used while learning foreign languages, and therefore, more studies on the subject should be conducted and these systems should be introduced to students.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zekâ Tabanlı Sistemler · Uzaktan Eğitim · Yabancı Dil Öğrenimi

Abstract

This study aims to examine to what extent are the students aware of the AI based systems used in language learning. The design of the study was determined as a quantitative research method. For this purpose, a web-based questionnaire was applied to 204 students with A1 and A2 English levels enrolled in the Open Education Faculty, and thus data were collected about the students' views on Artificial Intelligence-based systems that they use to improve their English speaking and writing skills. The data obtained from the students were analyzed using descriptive statistical procedures such as frequency and percentage analysis. The findings of the study revealed that many of the distance education students do not have an idea whether AI-based applications have an effect on improving their English 'speaking' skills. It also showed that most students who participated in this study had no idea whether these practices had an effect on improving their English ‘writing’ skills. In this context, the study proves that students are limitedly aware of Artificial Intelligence-based systems used while learning foreign languages, and therefore, more studies on the subject should be conducted and these systems should be introduced to students.

Özet

Bu çalışma, Açıköğretim Fakültesi öğrencilerinin yabacı dil öğrenirken kullandıkları Yapay Zekâ tabanlı sistemler hakkında ne kadar haberdar olduklarını incelemeyi amaçlamaktadır. Çalışmanın deseni nicel araştırma yöntemi olarak belirlenmiştir. Bu amaçla, Açıköğretim Fakültesine kayıtlı A1 ve A2 İngilizce seviyelerine sahip 204 öğrenciye web tabanlı bir anket uygulanmış ve böylece öğrencilerin İngilizce konuşma ve yazma becerilerini geliştirmek için kullanıldıkları Yapay Zekâ tabanlı sistemlere ilişkin görüşleri hakkında veriler toplanmıştır. Öğrencilerden elde edilen veriler, frekans ve yüzde analizi gibi betimsel istatistik prosedürleri kullanılarak analiz edilmiştir. Araştırmanın bulguları, uzaktan eğitim öğrencilerinin birçoğunun Yapay Zekâ temelli uygulamaların İngilizce 'konuşma' becerilerini geliştir-mede etkisi olup olmadığı konusunda fikir sahibi olmadıklarını ortaya koymuştur. Ayrıca, bu çalışmaya katılan çoğu öğrencinin, bu uygulamaların İngilizce ‘yazma’ becerilerini geliştirmede bir etkisi olup olmadığı konusunda bir fikri olmadığını göstermiştir. Bu bağlamda çalışma, öğrencilerin yabancı dil öğrenirken kullanılan Yapay Zekâ temelli sistemlerden sınırlı ölçüde haberdar olduklarını ve bu nedenle konu ile ilgili daha fazla çalışma yapılması ve bu sistemlerin öğrencilere tanıtılması gerektiğini kanıtlamaktadır.

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Cite This Article

GÖKSEL, N. (2021). Anadolu University Open Education Faculty Students’ Opinions on the Use of Artificial Intelligence Based Systems and Applications. OPUS Toplum Araştırmaları Dergisi, Cilt: 18 - Sayı: 43, 6119–6142. https://ajindex.com/articles/419851

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References (13)

  1. Abad, J. V. (2013). Pedagogical factors that influence EFL teaching: Some considerations for teachers' professional development. Profile Issues in Teachers Professional Development, 15(1), 97-108.
  2. Adams, R.L. (2017). 10 Powerful Examples of Artificial Intelligence in Use Today. Forbes. Al Emran, M. and Shaalan, K. (2014). A survey of intelligent language tutoring systems. In 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (p.393-399).
  3. IEEE. Alhabbash, M. I., Mahdi, A. O., and Abu Naser, S. S. (2016). An Intelligent Tutoring System for Teaching Grammar English Tenses. European Academic Research, 6(9), 7743-7757.
  4. Andersen, Q. E., Yannakoudakis, H., Barker, F. and Parish, T. (2013). Developing and testing a self-assessment and tutoring system. In Proceedings of the eighth workshop on innovative use of NLP for building educational applications (p.32-41).
  5. Berdasco, A., López, G., Diaz, I., Quesada, L. and Guerrero, L. A. (2019). User experience comparison of intelligent personal assistants: Alexa, Google Assistant, Siri and Cortana. In Multidisciplinary Digital Publishing Institute Proceedings 31(1), 51. https://doi.org/10.3390/proceedings2019031051
  6. Borup, J., West, R. E. and Thomas, R. (2015). The impact of text versus video communication on instructor feedback in blended courses. Educational Technology Research and Development, 63(2), 161-184. Botsify. (n.d.). Enhance Learning with Education Chatbot. Retrieved from https://botsify.com/education-chatbot.
  7. Boud, D. and Molloy, E. (2013). Rethinking models of feedback for learning: the challenge of design. Assessment and Evaluation in Higher Education, 38(6), 698-712.
  8. Brill, T. M., Munoz, L. and Miller, R. J. (2019).
  9. Siri, Alexa, and other digital assistants: A study of customer satisfaction with artificial intelligence applications. Journal of Marketing Management, 35(15-16), 1401-1436.
  10. Brusilovsky, P. and Peylo, C. (2003). Adaptive and intelligent web-based educational systems. International Journal of Artificial Intelligence in Education (IJAIED), 13, 159-172.
  11. Cotos, E. (2011). Potential of automated writing evaluation feedback. Calico Journal, 28(2), 420-459.
  12. Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson. Daneshvar, E. and Rahimi, A. (2014). Written corrective feedback and teaching grammar. Procedia-Social and Behavioral Sciences, 136, 217-221.
  13. Dizon, G. (20