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An Evaluation of the Use of Artificial Intelligence Applications in Online Education

Year 2023, , 866 - 884, 31.12.2023
https://doi.org/10.31681/jetol.1335906

Abstract

Achieving targeted learning outcomes in online education and creating an effective learning environment require an interactive learning environment with a sense of learning community, personalized learning opportunities, a well-designed instructional content with effective use of visuals, sounds and teaching assistants, and instructors who can create and present them all effectively. AI applications can be utilized for a wide range of purposes in addressing the indicators of effective online education and developing strategies to achieve them. This research aims to explore various applications of AI in online education and its impact on teaching and learning processes. In line with this purpose, the study used qualitative case study method to explore the potential of AI applications in improving the quality of online education and the extent to which such applications can be utilized in online education. Following the research, examples of artificial intelligence (AI) applications that can be used in online education for the purposes of providing personalized learning experiences, creating learning content, emphasizing the use of visual and audio content in teaching, providing learning assistance, improving student engagement through the use of teaching assistants and chatbots, strengthening the interaction between the instructor and students, and evaluation were presented and suggestions were made for the contexts in which these applications can be used. The potential and limitations of AI applications in the development of online education were emphasized. On the other hand, it was recommended that the ethical implications of using AI applications in online education should be considered through further research and critical evaluation.

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References

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Year 2023, , 866 - 884, 31.12.2023
https://doi.org/10.31681/jetol.1335906

Abstract

Project Number

-

References

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  • Akgun, S., & Greenhow, C. (2021). Artificial Intelligence In Education: Addressing Ethical Challenges In K-12 Settings. AI and Ethics, 3(2), 431-440. https://doi.org/10.1007/s43681-021-00096-7
  • Aleven, V., McLaren, B. M., Sewall, J., & Koedinger, K. R. (2006). The cognitive tutor authoring tools (CTAT): Preliminary evaluation of efficiency gains. In Intelligent Tutoring Systems: 8th International Conference, pp. 61-70. Springer. https://link.springer.com/chapter/10.1007/11774303_7
  • Alotaibi, R., Al-Shehri, S., Al-Harbi, R., & Al-Mutairi, M. (2020). Enhancing learning outcomes through chatbot technology in computer science education. Education and Information Technologies, 25(6), 5167-5183. https://doi.org/10.1007/s10639-020-10182-8
  • Arulkadacham, L., McKenzie, S., Aziz, Z., Chung, J., Dyer, K., Holt, C., ... & Mundy, M. (2021). General and unique predictors of student success in online courses: A systematic review and focus group. Journal of University Teaching & Learning Practice, 18(8), 07. https://doi.org/10.53761/1.18.8.7
  • Avcı Akbel, B. (2021). Türk Müziği nazariyatı dersinin acil uzaktan öğretim yoluyla verilmesinin değerlendirilmesi [Evaluation of teaching Turkish Music theory course through emergency remote teaching]. Güzel Sanatlar Eğitimi [Fine Arts Education], 31-54. Akademisyen Publishing.
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  • Bao, W. (2020). COVID‐19 and online teaching in higher education: A case study of Peking University. Human behavior and emerging technologies, 2(2), 113-115. https://doi.org/10.1002/hbe2.191
  • Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A., Rodríguez, M. E. (2021). Artificial Intelligence and Reflections From Educational Landscape: A Review Of Ai Studies In Half A Century. Sustainability, 2(13), 800. https://doi.org/10.3390/su13020800
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  • Bulathwela, S., Pérez-Ortiz, M., Holloway, C., Shawe-Taylor, J. (2021). Could AI Democratise Education? Socio-technical Imaginaries Of An Edtech Revolution. arXiv preprint arXiv:2112.02034. https://doi.org/10.48550/arxiv.2112.02034
  • Castro-Schez, J. J., Glez-Morcillo, C., Albusac, J., Vallejo, D. (2021). An Intelligent Tutoring System For Supporting Active Learning: a Case Study On Predictive Parsing Learning. Information Sciences, 544, 446-468. https://doi.org/10.1016/j.ins.2020.08.079
  • Chen, J., Ablanedo-Rosas, J. H., Frankwick, G. L., & Arévalo, F. R. J. (2021). The state of artificial intelligence in marketing with directions for future research. International Journal of Business Intelligence Research (IJBIR), 12(2), 1-26. https://doi.org/10.4018/ijbir.297062
  • Chen, L., Chen, P., Lin, Z. (2020). Artificial Intelligence In Education: a Review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/access.2020.2988510
  • Corbin,J. & Strauss, A. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory (3rd ed.). Sage Publishing.
  • De Freitas, S., Neumann, T. (2009). The Use Of ‘Exploratory Learning’ For Supporting Immersive Learning In Virtual Environments. Computers & Education, 52(2), 343-352. https://doi.org/10.1016/j.compedu.2008.09.010
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  • Fırat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.22
  • Fırat, M. (2023). Integrating AI Applications into Learning Management Systems to Enhance e-Learning. Instructional Technology and Lifelong Learning , 4 (1) , 1-14 . https://doi.org/10.52911/itall.1244453
  • García, P., Amandi, A., Schiaffino, S., and Campo, M. (2007). Evaluating bayesian networks’ precision for detecting students’ learning styles. Computers & Education, 49(3), 794-808. https://doi.org/10.1016/j.compedu.2005.11.017
  • Goswami, M., Mian, S., Mostow, J. (2019, July). What’s Most Broken? a Tool To Assist Data-driven Iterative Improvement Of An Intelligent Tutoring System. In Proceedings of the AAAI Conference on Artificial Intelligence, 33(1), pp. 9941-9942. https://doi.org/10.1609/aaai.v33i01.33019941
  • Grewal, D. S. (2014). A critical conceptual analysis of definitions of artificial intelligence as applicable to computer engineering. IOSR Journal of Computer Engineering, 16(2), 9-13. https://doi.org/10.9790/0661-16210913
  • Hamal, O., El Faddouli, N., Harouni, M. H. A. , Lu, J. (2022). Artificial Intelligent In Education. Sustainability, 14(5), 2862. https://doi.org/10.3390/su14052862
  • Harry, A. (2023). Role Of AI In Education. Interdiciplinary Journal and Hummanity, 2(3), 260-268. https://doi.org/10.58631/injurity.v2i3.52
  • Hatcher, S. M., Agnew-Brune, C., Anderson, M., Zambrano, L. D., Rose, C. E., Jim, M. A., … & McCollum, J. (2020). Covid-19 Among American Indian and Alaska Native Persons — 23 States, January 31–july 3, 2020. Morbidity and Mortality Weekly Report, 69(34), 1166-1169. https://doi.org/10.15585/mmwr.mm6934e1
  • Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051
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Details

Primary Language English
Subjects Instructional Technologies, Educational Technology and Computing
Journal Section Articles
Authors

Betül Tonbuloğlu 0000-0003-1542-2380

Project Number -
Publication Date December 31, 2023
Published in Issue Year 2023

Cite

APA Tonbuloğlu, B. (2023). An Evaluation of the Use of Artificial Intelligence Applications in Online Education. Journal of Educational Technology and Online Learning, 6(4), 866-884. https://doi.org/10.31681/jetol.1335906


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