International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)

IJCRSEE Editorial Team; Vladimir Milićević; Limonka Koceva Lazarova; Miroslava Jordovic Pavlovic

doi:10.23947/2334-8496-2024-12-2-259-272

Authors

Vladimir Milićević The Faculty of Mechanical and Civil Engineering in Kraljevo of the University of Kragujevac, Serbia https://orcid.org/0000-0002-5587-2717
Limonka Koceva Lazarova Goce Delchev University, Stip, North Macedonia https://orcid.org/0000-0002-2759-0333
Miroslava Jordovic Pavlovic The Faculty of Mechanical and Civil Engineering in Kraljevo of the University of Kragujevac, Serbia https://orcid.org/0000-0003-4038-6537

DOI:

https://doi.org/10.23947/2334-8496-2024-12-2-259-272

Keywords:

Artificial Intelligence, education, machine learning, personalized learning, adaptive learning

Abstract

The aim of this paper is to discuss the application of contemporary AI tools and technologies in education. The paper will mainly focus on a close examination of relevant academic literature as well as the current situation and methods of AI implementation in different sectors, finally, in education. Particularly, it was crucial that there were identified the major directions of applying AI in learning with an emphasis on learners and educators being the basic aspects of AI use within modern educational approaches. Secondly, some benefits and drawbacks concerning AI implementations in education supported by experiences from industry leaders and specific satisfaction measures among existing users, are analyzed. The most significant part covers integrating findings that show facts about artificial intelligence being used in education for 2024 like top online learning statistics for 2024, top AI statistics for 2024, and best AI plagiarism checkers for teachers in 2024 respectively. This includes evaluating teacher or instructor preparation skills to employ artificial intelligence (AI) tools and technology as well as ways students can learn how to use them without misuse towards quality education improvement.

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References

Aldriye, H., Alkhalaf, A., & Alkhalaf, M. (2019). Automated grading systems for programming assignments: A literature review. International Journal of Advanced Computer Science and Applications, 10(3). http://dx.doi.org/10.14569/IJACSA.2019.0100328 DOI: https://doi.org/10.14569/IJACSA.2019.0100328

Asi, L., Mojjada, H., Prasanna, M., & Deepika, Y. (2023). A Study on Artificial Intelligence in Marketing. Retrieved from A Study on Artificial Intelligence in Marketing https://doi.org/10.36948/ijfmr.2023.v05i03.3789 DOI: https://doi.org/10.36948/ijfmr.2023.v05i03.3789

Athanassopoulos, S., Manoli, P., Gouvi, M., Lavidas, K., & Komis, V. (2023). The use of ChatGPT as a learning tool to improve foreign language writing in a multilingual and multicultural classroom. Advances in Mobile Learning Educational Research, 3(2), 818-824. https://doi.org/10.25082/AMLER.2023.02.009 DOI: https://doi.org/10.25082/AMLER.2023.02.009

Bahoo, S., Cucculelli, M., Goga, X., & Mondolo, J. (2024). Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis. SN Business & Economics, 4(2), 23, https://doi.org/10.1007/s43546-023-00618-x DOI: https://doi.org/10.1007/s43546-023-00618-x

Bharadiya, J. (2023). Artificial intelligence in transportation systems a critical review. American Journal of Computing and Engineering, 6(1), 34-45. https://doi.org/10.47672/ajce.1487 DOI: https://doi.org/10.47672/ajce.1487

Cui, Y., Chen, F., Shiri, A., & Fan, Y. (2019). Predictive analytic models of student success in higher education: A review of methodology. Information and Learning Sciences, 120(3/4), 208-227. https://doi.org/10.1108/ILS-10-2018-0104 DOI: https://doi.org/10.1108/ILS-10-2018-0104

Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in education and teaching international, 61(2), 228-239. https://doi.org/10.1080/14703297.2023.2190148 DOI: https://doi.org/10.1080/14703297.2023.2190148

Das, R., & Sandhane, R. (2021, July). Artificial intelligence in cyber security. In Journal of Physics: Conference Series (Vol. 1964, No. 4, p. 042072). IOP Publishing. https://doi.org/10.1088/1742-6596/1964/4/042072 DOI: https://doi.org/10.1088/1742-6596/1964/4/042072

De Andrade, I. M., & Tumelero, C. (2022). Increasing customer service efficiency through artificial intelligence chatbot. Revista de Gestão, 29(3), 238-251. https://doi.org/10.1108/REGE-07-2021-0120 DOI: https://doi.org/10.1108/REGE-07-2021-0120

Dogan, M. E., Goru Dogan, T., & Bozkurt, A. (2023). The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies. Applied Sciences, 13(5), 3056. https://doi.org/10.3390/app13053056 DOI: https://doi.org/10.3390/app13053056

Gandomi, A. H., Chen, F., & Abualigah, L. (2023). Big Data Analytics Using Artificial Intelligence. Electronics, 12(4), 957.

https://doi.org/10.3390/electronics12040957 DOI: https://doi.org/10.3390/electronics12040957

Ghosh, M., & Thirugnanam, A. (2021). Introduction to artificial intelligence. Artificial Intelligence for Information Management: A Healthcare Perspective, 23-44. https://doi.org/10.1007/978-981-16-0415-7_2 DOI: https://doi.org/10.1007/978-981-16-0415-7_2

Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: a literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216 DOI: https://doi.org/10.3390/educsci13121216

Gocen, A., & Aydemir, F. (2020). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13-21, https://doi.org/10.2478/rem-2020-0003. DOI: https://doi.org/10.2478/rem-2020-0003

Harkut, D. G., & Kasat, K. (2019). Introductory chapter: artificial intelligence-challenges and applications. Artificial Intelligence-Scope and Limitations. https://doi.org/10.5772/intechopen.84624 DOI: https://doi.org/10.5772/intechopen.84624

Ipek, Z. H., Gözüm, A. I. C., Papadakis, S., & Kallogiannakis, M. (2023). Educational Applications of the ChatGPT AI System: A Systematic Review Research. Educational Process: International Journal, 12(3), 26-55. https://dx.doi.org/10.22521/edupij.2023.123.2 DOI: https://doi.org/10.22521/edupij.2023.123.2

Jayakrishnan, S. (2022). Artificial intelligence (AI) in retailing-a systematic review and research agenda. SSRN, http://dx.doi.org/10.2139/ssrn.4134959 DOI: https://doi.org/10.2139/ssrn.4134959

Jordovic Pavlovic, M., Knežević, D., & Petrović, S. (2017). Data visualization and exploration of students database. In: Proceedings of 10th International Conference Science and Higher Education in Function of Sustainable Development, October 6-7, 2017., Mećavnik, Mokra Gora, Srbija, 2-16, ISBN978-86-83573-90-5

Karakose, T., Demirkol, M., Aslan, N., Köse, H., & Yirci, R. (2023). A conversation with ChatGPT about the impact of the COVID-19 pandemic on education: Comparative review based on human–AI collaboration. Educational Process: International Journal, 12(3), 7-25. https://files.eric.ed.gov/fulltext/EJ1395258.pdf DOI: https://doi.org/10.22521/edupij.2023.123.1

Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973-1018. https://doi.org/10.1007/s10639-022-11177-3 DOI: https://doi.org/10.1007/s10639-022-11177-3

Lin, C. C., Huang, A. Y., & Lu, O. H. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. Smart Learning Environments, 10(1), 41. https://doi.org/10.1186/s40561-023-00260-y DOI: https://doi.org/10.1186/s40561-023-00260-y

Mah, P. M. (2022). Analysis of artificial intelligence and natural language processing significance as expert systems support for e-health using pre-train deep learning models. Acadlore Transactions on AI and Machine Learning, 1(2), 68-80. https://doi.org/10.56578/ataiml010201 DOI: https://doi.org/10.56578/ataiml010201

Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE access, 10, 81323-81342. https://doi.org/10.1109/ACCESS.2022.3193938 DOI: https://doi.org/10.1109/ACCESS.2022.3193938

Plathottam, S. J., Rzonca, A., Lakhnori, R., & Iloeje, C. O. (2023). A review of artificial intelligence applications in manufacturing operations. Journal of Advanced Manufacturing and Processing, 5(3), e10159. https://doi.org/10.1002/amp2.10159 DOI: https://doi.org/10.1002/amp2.10159

Singh Gill, S., Xu, M., Patros, P., Wu, H., Kaur, R., Kaur, K., ... & Buyya, R. (2023). Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots. arXiv e-prints, arXiv-2306. https://doi.org/10.1016/j.iotcps.2023.06.002. DOI: https://doi.org/10.1016/j.iotcps.2023.06.002

Sodhar, I. N., Jalbani, A. H., Buller, A. H., Mirani, A. A., & Sodhar, A. N. (2020). Chapter-1 Natural Language Processing: Applications, Techniques and Challenges. ADVANCES IN, 1. https://www.researchgate.net/profile/Petro-Trokhimchuck-2/publication/343981699_S_Beer_Centurial_Problem_in_Cybernetics_and_Methods_of_its_Resolution_p87-117/links/5f4be8d8458515a88b8f31c9/S-Beer-Centurial-Problem-in-Cybernetics-and-Methods-of-its-Resolution-p87-117.pdf#page=5

Spalević, Ž., Kaljević, J., Vučetić, S., & Milić, P. (2023). Enhancing Legally-Based E-Government Services in Education Through Artificial Intelligence. International Journal of Cognitive Research in Science, Engineering and Education, 11(3), 511-518. https://doi.org/10.23947/2334-8496-2023-11-3-511-518. DOI: https://doi.org/10.23947/2334-8496-2023-11-3-511-518

Steenbergen-Hu, S., & Cooper, H. (2014). A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning. Journal of educational psychology, 106(2), 331–347. https://doi.org/10.1037/a0034752 DOI: https://doi.org/10.1037/a0034752

Tajidini, F., & Kheiri, M. J. (2023). Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges. arXiv preprint arXiv:2308.01319.

Tayan, O., Hassan, A., Khankan, K., & Askool, S. (2023). Considerations for adapting higher education technology courses for AI large language models: A critical review of the impact of ChatGPT. Machine Learning with Applications, 100513. https://doi.org/10.1016/j.mlwa.2023.100513. DOI: https://doi.org/10.1016/j.mlwa.2023.100513

Tehseen Z. (2023) Transforming Education: AI-Powered Personalized Learning Revolution, https://www.techopedia.com/transforming-education-ai-powered-personalized-learning-revolution

https://blog.duolingo.com/large-language-model-duolingo-lessons/

https://www.washingtonpost.com/technology/2024/01/10/duolingo-ai-layoffs/

https://articles.noodlefactory.ai/what-is-an-ai-intelligent-tutoring-system-and-why-you-should-use-it

https://crowdmark.com/intelligent-tutoring-systems-connecting-ai-and-education/

https://www.memphis.edu/iis/projects/autotutor.php

https://www.devlinpeck.com/content/online-learning-statistics

https://livestorm.co/blog/online-teaching-tools-platforms

https://whatfix.com/blog/adaptive-learning-platforms/

https://www.hostinger.com/tutorials/ai-statistics?ppc_campaign=google_search_generic_hosting_all&bidkw=defaultkeyword&lo=2688&gad_source=1&gclid=Cj0KCQjw2a6wBhCVARIsABPeH1v8ZW6qnqvzoKKkEh8dIcYw73Uy2UrYINREESKUJEWEQi99SZJ0x_waAmgEEALw_wcB

https://www.classpoint.io/blog/students-using-ai-to-write-essays

https://www.scribbr.com/frequently-asked-questions/how-accurate-are-ai-detectors/