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

Yıl 2023, Cilt: 6 Sayı: 4 - ICETOL 2023 Special Issue, 866 - 884, 31.12.2023

Betül Tonbuloğlu

https://doi.org/10.31681/jetol.1335906

Öz

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.

Anahtar Kelimeler

Online Education Artificial Intelligence Personalized Learning Learning Content Learning Assistance

Destekleyen Kurum

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Proje Numarası

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Kaynakça

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Yıl 2023, Cilt: 6 Sayı: 4 - ICETOL 2023 Special Issue, 866 - 884, 31.12.2023

Betül Tonbuloğlu

https://doi.org/10.31681/jetol.1335906

Öz

Proje Numarası

-

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
  • 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.
  • Aydogdu, S. (2021). A new student modeling technique with convolutional neural networks: Learnerprints. Journal of Educational Computing Research, 59(4), 603–619. https://doi.org/10.1177/0735633120969216
  • 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
  • Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to Coronavirus pandemic. Asian Journal of Distance Education, 15(1). https://asianjde.com/ojs/index.php/AsianJDE/article/view/447/297
  • Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative research journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027
  • 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
  • Educause. (2019). Educause Horizon Report 2019: Higher Education Edition. Available online: https://library.educause.edu/-/media/files/library/2019/4/2019horizonreport.pdf (accessed on 10 July 2023).
  • 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
  • Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause review, 27, 1-12. http://hdl.handle.net/10919/104648
  • Holmes, W, Bialik M, Fadel C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching & Learning. Globethics Publications. https://doi.org/10.58863/20.500.12424/4276068
  • Jia, K., Wang, P., Li, Y., Chen, Z., Jiang, X., Lin, C., … & Chin, T. (2022). Research Landscape Of Artificial Intelligence and E-learning: A Bibliometric Research. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.795039
  • Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399. https://doi.org/10.1038/s42256-019-0088-2
  • Kurilovas, E., Zilinskiene, I., & Dagiene, V. (2015). Recommending suitable learning paths according to learners’ preferences: experimental research results. Computers in Human Behavior, 51, 945-951. https://doi.org/10.1016/j.chb.2014.10.027
  • Labuschagne, A.(2003).Qualitative research: Airy fairy or fundamental? The Qualitative Report, 8(1). 100-103. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=9955ee817d9498aa718ac970bc36c9b028db5e6d
  • Li, M., & Su, Y. (2020). Evaluation of online teaching quality of basic education based on artificial intelligence. International Journal of Emerging Technologies in Learning (iJET), 15(16), 147-161. https://doi.org/10.3991/ijet.v15i16.15937
  • Liu, T., Gao, Z., & Guan, H. (2021). Educational information system optimization for artificial intelligence teaching strategies. Complexity, 1-13. https://doi.org/10.1155/2021/5588650
  • Lukianets, H., & Lukianets, T. (2023). Promises and perils of AI use on the tertiary educational level. GoS, 25, 306-311. https://doi.org/10.36074/grail-of-science.17.03.2023.053
  • Mahmoud, A. F., Belal, M. A., Helmy, Y. M. (2014). Towards An Intelligent Tutoring System To Down Syndrome. International Journal of Computer Science & Information Technology, 6(6), 129-137. https://doi.org/10.5121/ijcsit.2014.6610
  • Majeed, M. (2023). Predicting the Future of Education in the Light of Artificial Intelligence. Digital Transformation in Education: Emerging Markets and Opportunities, 173. https://doi.org/10.2174/9789815124750123010014
  • Mintz, Y., & Brodie, R. (2019). Introduction to artificial intelligence in medicine. Minimally Invasive Therapy & Allied Technologies, 28(2), 73-81. https://doi.org/10.1080/13645706.2019.1575882
  • Mouta, A., Sánchez, E. T., & Llorente, A. P. (2019, October). Blending machines, learning, and ethics. In Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 993-998). https://doi.org/10.1145/3362789.3362909
  • Naidu, K., & Sevnarayan, K. (2023). Chatgpt: An Ever-increasing Encroachment Of Artificial Intelligence In Online Assessment In Distance Education. Online Journal of Communication and Media Technologies,13(1). https://doi.org/10.30935/ojcmt/13291
  • Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational technology research and development, 71(1), 137-161.https://doi.org/10.1007/s11423-023-10203-6
  • Ningsih, F. (2023). Classtime.com As An AI-based Testing Platform: Analysing Esp Students’ Performances and Feedback. Journal of Languages and Language Teaching, 11(3), 390-404. https://doi.org/10.33394/jollt.v11i3.8286
  • Wisnu Nugroho, T., Alim, A., & Fauzi, H. Y. (2022). Validity and Reliability of Reactive Agility Measurements of Tennis Performance.International Journal of Human Movement and Sports Sciences, 10(2), 338-342. https://doi.org/10.13189/saj.2022.100226
  • Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
  • Panesar, A., & Panesar, A. (2021). Machine learning and AI ethics. Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes, 207-247. https://doi.org/10.1007/978-1-4842-6537-6_8
  • Pears, M., & Konstantinidis, S. (2022). The future of immersive technology in global surgery education. Indian Journal of Surgery, 84(Suppl 1), 281-285. https://doi.org/10.1007/s12262-021-02998-6
  • Peltonen, E., Ahmad, I., Aral, A., Capobianco, M., Ding, A., Gil-Castineira, F., … & Yang, T. (2022). The Many Faces Of Edge Intelligence. IEEE Access, 10, 104769-104782. https://doi.org/10.1109/access.2022.3210584
  • Pichert, J. W., Smeltzer, C., Snyder, G. M., Gregory, R. P., Smeltzer, R. C., Kinzer, C. K. (1994). Traditional Vs Anchored Instruction For Diabetes-related Nutritional Knowledge, Skills, and Behavior. The Diabetes Educator, 20(1), 45-48. https://doi.org/10.1177/014572179402000109
  • Prinsloo, P., Blaschke, L. M., & Olcott Jr, D. (2020, June). How Do We Know They are Learning? Student Data and the Synergies of Human and Artificial Intel(ligence (AI). In EDEN Conference Proceedings (No. 1, pp. 262-276). https://doi.org/10.38069/edenconf-2020-ac0025
  • Randhawa, G. K., & Jackson, M. (2020, January). The role of artificial intelligence in learning and professional development for healthcare professionals. In Healthcare management forum. 33(1), pp. 19-24. SAGE Publications. https://doi.org/10.1177/0840470419869032
  • Rui, Z., Badarch, T. (2022). Research on Applications of Artificial Intelligence in Education. American Journal of Computer Science and Technology, 5(2), 72-79. https://doi.org/10.11648/j.ajcst.20220502.17
  • Sapkota, N. (2016, June). Quality Matters: Development of an Online Course Shell for Quality-Control Courses. In 2016 ASEE Annual Conference & Exposition. https://peer.asee.org/quality-matters-development-of-an-online-course-shell-for-quality-control-courses
  • Shabadurai, Y., Chua, F. F., & Lim, T. Y. (2022). Investigating the Employees ‘Perspectives and Experiences of Microlearning Content Design for Online Training. International Journal of Information and Education Technology, 12(8), 786-793. https://doi.org/10.18178/ijiet.2022.12.8.1685
  • Sottilare, R. A., Baker, R. S., Graesser, A. C., Lester, J. C. (2018). Special Issue On the Generalized Intelligent Framework For Tutoring (Gift): Creating A Stable And Flexible Platform For Innovations In Aied Research. International Journal of Artificial Intelligence in Education, 28, 139-151. https://doi.org/10.1007/s40593-017-0149-9
  • Sun, Z., Anbarasan, M., & Praveen Kumar, D. J. C. I. (2021). Design of online intelligent English teaching platform based on artificial intelligence techniques. Computational Intelligence, 37(3), 1166-1180. https://doi.org/10.1111/coin.12351
  • Tang, K. Y., Chang, C. Y., & Hwang, G. J. (2023). Trends in artificial intelligence-supported e-learning: A systematic review and co-citation network analysis (1998–2019). Interactive Learning Environments, 31(4), 2134-2152. https://doi.org/10.1080/10494820.2021.1875001
  • Tang, Y.,& Jiang, X. (2022). Applications Of Artificial Intelligence and Iot In The Development Of Sports Training Education Management. Wireless Communications and Mobile Computing,, 1-8. https://doi.org/10.1155/2022/1061461
  • Thorat, S. A., Patil, S. K., Kulkarni, M. S. S., & Pawar, P. N. (2022). Effective Implementation of Online Academic Delivery through Innovative Practice League (IPL) Competition. Journal of Engineering Education Transformations, 35(Special Issue 1). https://doi.org/10.16920/jeet/2022/v35is1/22036
  • Tomasevic, N., Gvozdenovic, N., & Vranes, S. (2020). An overview and comparison of supervised data mining techniques for student exam performance prediction. Computers & Education, 143, 103676. https://doi.org/10.1016/j.compedu.2019.103676
  • Tonbuloğlu, B., (2021). Türkiye’de Acil Durum Uzaktan Öğretim ve Eğitim Bilişim Ağı (EBA) İncelemesi, (Politika Notu: 2021/26). [Emergency Distance Education and Education Information Network (EBA) Review in Turkey, (Policy Note: 2021/26)]. ILKE Foundation for Science, Culture and Education.https://ilke.org.tr/images/yayin/pn_26/epam_pn_26.pdf
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  • Uunona, G. N., & Goosen, L. (2023). Leveraging Ethical Standards in Artificial Intelligence Technologies: A Guideline for Responsible Teaching and Learning Applications. In Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines (pp. 310-330). IGI Global. https://doi.org/10.4018/978-1-6684-7164-7.ch014
  • Voskobitova, M. R. (2021). Online Simulations for Teaching Professional Legal Skills. Kutafin Law Review, 8(4), 519-545. https://doi.org/10.17803/2313-5395.2021.4.18.519-545
  • Wach, E.(2013).Learning about qualitative document analysis. IDS Practice Paper in Brief, ILT Brief. https://www.ids.ac.uk/publications/learning-about-qualitative-document-analysis/
  • Waqar, A., Othman, I., Shafiq, N., Mansoor, M. S. (2023). Applications Of AI In Oil and Gas Projects Towards Sustainable Development: A Systematic Literature Review. Artificial Intelligence Review, 1-28. https://doi.org/10.1007/s10462-023-10467-7
  • Wu, S. Y., Yang, K. K. (2022). The Effectiveness Of Teacher Support For Students’ Learning of Artificial Intelligence Popular Science Activities. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.868623
  • Xu, W., Ouyang, F. (2022). The Application of AI Technologies In STEM Education: a Systematic Review From 2011 To 2021. International Journal of STEM Education, 9(1), 1-20. https://doi.org/10.1186/s40594-022-00377-5
  • Yang, Y. (2021). The Potential Energy Of Artificial Intelligence Technology In University Education Reform From the Perspective Of Communication Science. Mobile Information Systems, 1-7. https://doi.org/10.1155/2021/1057371
  • Yildirim, Y., & Celepcikay, A. (2021). Artificial Intelligence and Machine Learning Applications in Education. Eurasian Journal of Higher Education, 2(4), 1-11. https://doi.org/10.31039/ejohe.2021.4.49
  • Yin, N. (2021). Research on the Impacts of Artificial Intelligence Technology on Language Teaching Innovation. Frontiers in Educational Research, 4(7). https://doi.org/10.25236/fer.2021.040706
  • Zawacki-Richter, O., Marín, V., Bond, M., Gouverneur, F. (2019). Systematic Review Of Research On Artificial Intelligence Applications In Higher Education – Where Are the Educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
  • Zhen, Y., Zhou, K., Fang, H., Hu, L., Dai, Z. E., Liang, W., & Zhou, S. (2020). Research on hybrid artificial intelligence optimization algorithm for grain transportation. Journal of Computers, 31(2), 35-44. https://doi.org/10.3966/199115992020043102005
Toplam 73 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Öğretim Teknolojileri, Eğitim Teknolojisi ve Bilgi İşlem
Bölüm Makaleler
Yazarlar

Betül Tonbuloğlu 0000-0003-1542-2380

Proje Numarası -
Yayımlanma Tarihi 31 Aralık 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 6 Sayı: 4 - ICETOL 2023 Special Issue

Kaynak Göster

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
 Kapak Resmi İndir


22029

JETOL is abstracted and indexed by ERIC - Education Resources Information Center.