Using artificial intelligence to personalise curricula and increase motivation to learn, taking into account psychological aspects
DOI:
https://doi.org/10.56294/dm2024.241Keywords:
adaptive learning, cognitive styles, motivational strategies, emotional intelligenceAbstract
Objectives: This study aimed to assess the effectiveness of artificial intelligence on education, focusing on how it can be leveraged to personalised learning experiences tailored to the specific needs of students.
Study Design: A comprehensive literature review was conducted, alongside an analysis of psychological factors that influence student motivation.
Place and Duration of the Study: Relevant academic sources and case studies were reviewed over the duration of six months to gather insights on AI applications in education.
Sample: The sample consisted of the scientific thought and scientists that have integrated AI technologies into their curricula.
Methodology: A qualitative analysis from literature was utilised in this research to evaluate AI tools' effectiveness in enhancing personalised learning outcomes.
Results: The findings indicate that ChatGPT is currently the most widely utilised AI tool in educational contexts, demonstrating a significant capacity to personalised learning by adapting it to individual psychological profiles and learning paces.
Conclusion: The integration of AI technologies in education presents unprecedented opportunities for curriculum personalisation and student engagement. However, it also necessitates careful consideration of ethical issues, especially related to learner data privacy, to ensure responsible implementation
References
1. Akaneme IN, Metu CA. Predicting Mathematics Achievement: The Role of Emotional Intelligence and the Academic Self-Concept. Futurity of Social Sciences [Internet]. 2024 Jul. 23 [cited 2024 Aug. 16];2(3):64-77. Available from: https://futurity-social.com/index.php/journal/article/view/72.
2. Akiba D., Fraboni M. C. AI-Supported Academic Advising: Exploring ChatGPT's Current State and Future Potential toward Student Empowerment. Education Sciences. 2023. 13(9). https://doi.org/10.3390/educsci13090885
3. Al Ismail Y. A. The Evolution of Empirical Research in Translation Studies: From Cognitive Insights to AI-Enhanced Horizons. International Journal of Linguistics, Literature and Translation.2023 6(12): 61-65. https://doi.org/10.32996/ijllt.2023.6.12.8
4. Alafnan M. A., Dishari S., Jovic M., Lomidze K. ChatGPT as an Educational Tool: Opportunities, Challenges, and Recommendations for Communication, Business Writing, and Composition Courses. Journal of Artificial Intelligence and Technology. 2023. 3(2): 60-68. https://doi.org/10.37965/jait.2023.0184
5. Algaraady J., Mahyoob M. ChatGPT's Capabilities in Spotting and Analyzing Writing Errors Experienced by EFL Learners. Arab World English Journal. 2023. 9: 3-17. https://doi.org/10.24093/awej/call9.1.
6. Alotumi M. Factors influencing graduate students' behavioral intention to use Google Classroom: A case study-mixed methods research. Education and Information Technologies. 2022. 27(7): 10035-10063. https://link.springer.com/article/10.1007/s10639-022-11051-2
7. Amaar A., Aljedaani W., Rustam F., Ullah S., Rupapara V., Ludi S. Detection of fake job postings by utilizing machine learning and natural language processing approaches. Neural Processing Letters.2022. 1-29. https://link.springer.com/article/10.1007/s11063-021-10727-z
8. Amin M. Y. M. AI and Chat GPT in Language Teaching: Enhancing EFL Classroom Support and Transforming Assessment Techniques. International Journal of Higher Education Pedagogies.2023. 4(4): 1-15. https://doi.org/10.33422/ijhep.v4i4.554
9. Bhutoria A. Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence. 2022. 3. https://doi.org/10.1016/j.caeai.2022.100068
10. Borysenko O, Marukhovska-Kartunova O, Volkova V, Baran A, Maraieva U. The Influence of Social Networks on the Formation of Modern Culture and its Relationship with Philosophy. Futurity Philosophy [Internet]. 2024 Jul. 3 [cited 2024 Aug. 16];3(3):80-94. Available from: https://futurity-philosophy.com/index.php/FPH/article/view/102.
11. Chen L., Chen P., Lin Z. Artificial intelligence in education: A review. Ieee Access. 2020. 8: 75264-75278. https://ieeexplore.ieee.org/abstract/document/9069875.
12. Chiu T. K., Chai C. S. Sustainable curriculum planning for artificial intelligence education: A self-determination theory perspective. Sustainability. 2020. 12(14): 5568. https://doi.org/10.3390/su12145568
13. Chiu T. K., Xia Q., Zhou X., Chai C. S., Cheng M. Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence. 2023. 4. https://doi.org/10.1016/j.caeai.2022.100118
14. De Sutter G., Lefer M. A. On the need for a new research agenda for corpus-based translation studies: A multi-methodological, multifactorial and interdisciplinary approach. Perspectives.2020. 28(1): 1-23. https://doi.org/10.1080/0907676X.2019.1611891
15. Ding J. Corpus-based Translation Studies: Examining Media Language through a Linguistic Lens. In SHS Web of Conferences. 2024, Vol. 185: 01012. EDP Sciences. https://doi.org/10.1051/shsconf/202418501012
16. Dobrovolska O., Sonntag R., Buschendorf S., Klimova E., Ortmanns W. Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education? Knowledge and Performance Management. 2023. 7(1): 91. https://doi.org/10.21511/kpm.07(1).2023.07
17. Fan K., Chunlei W. Translation Studies in the Era of AI: Characteristics, Fields and Significance. International Journal of Translation and Interpretation Studies. 2023. 3(4): 58-67. https://doi.org/10.32996/ijtis.2023.3.4.7x
18. Fatima R., Samad Shaikh N., Riaz A., Ahmad S., El-Affendi M. A., Alyamani K. A., Latif R. M. A. A natural language processing (NLP) evaluation on COVID-19 rumor dataset using deep learning techniques. Computational Intelligence and Neuroscience. 2022. https://doi.org/10.1155/2022/6561622
19. Feder A., Keith K. A., Manzoor E., Pryzant R., Sridhar D., Wood-Doughty Z., Yang D. Causal inference in natural language processing: Estimation, prediction, interpretation and beyond. Transactions of the Association for Computational Linguistics. 2022. 10: 1138-1158. https://doi.org/10.1162/tacl_a_00511
20. Grassini S. Shaping the future of education: exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences. 2023. 13(7): 692. https://doi.org/10.3390/educsci13070692
21. Grego K. From the cognitive turn to AI: reflections on recent trends in translation (studies). 2023. https://air.unimi.it/handle/2434/1020932.
22. Hubal H. M. Mathematical description of the non-equilibrium state of symmetric particle systems. International Journal of Applied Mathematics. 2019. 32(5): 767. http://diogenes.bg/ijam/contents/2019-32-5/4/.
23. Iskakova M. Electronic Technologies to Ensure Individual Learning of Education Seekers with Special Needs. Futurity of Social Sciences. 2023. 1(1): 4-20. https://doi.org/10.57125/FS.2023.03.20.01
24. Kang Y., Cai Z., Tan C. W., Huang Q., Liu H. Natural language processing (NLP) in management research: A literature review. Journal of Management Analytics. 2020. 7(2): 139-172. https://doi.org/10.1080/23270012.2020.1756939
25. Khasawneh M. A. S. The Potential of Ai in Facilitating Cross-Cultural Communication Through Translation. Journal of Namibian Studies: History Politics Culture. 2023. 37: 107-130. https://namibian-studies.com/index.php/JNS/article/view/4654.
26. Khasawneh M. A. S., Al-Amrat M. G. R. Evaluating the Role of Artificial Intelligence in Advancing Translation Studies: Insights from Experts. Migration Letters. 2023. 20(S2): 932-943. https://doi.org/10.59670/ml.v20iS2.3745
27. Koka N. A., Akan M. F., Kana'n B. H. I., Khan M. R., Zulfiquar F., Jan N. Impact of artificial intelligence (ai) on translation quality: assessment and evaluation. Journal of Southwest Jiaotong University. 2023. 58(4). https://doi.org/10.1109/ACCESS.2024.3366802
28. Kuzmina J., Atstaja D., Dambe G., Kichuk Y., Bykhovchenko V. Well-being in the work environment as foundation to achieve sustainable development goal. In International Conference on Sustainable, Circular Management and Environmental Engineering (ISCMEE 2021). EDP Sciences. 2021. https://doi.org/10.1051/e3sconf/202125501023
29. Lameras P., Arnab S. Power to the teachers: an exploratory review on artificial intelligence in education. Information. 2021. 13(1): 14. https://doi.org/10.3390/info13010014
30. Latifi F., Kasumi H. Teachers' Perspectives on Innovative and Interactive Teaching Methods: Perspective of Mobile Learning. International Journal of Interactive Mobile Technologies. 2022. 17(23). https://doi.org/10.3991/ijim.v16i23.36217
31. Luan H., Geczy P., Lai H., Gobert J., Yang S. J., Ogata H., Tsai C. C. Challenges and future directions of big data and artificial intelligence in education. Frontiers in psychology. 2020. 11. https://doi.org/10.3389/fpsyg.2020.580820
32. Mandera P., Keuleers E., Brysbaert M. How useful are corpus-based methods for extrapolating psycholinguistic variables? Quarterly Journal of Experimental Psychology. 2015. 68(8): 1623-1642. https://doi.org/10.1080/17470218.2014.98873
33. Mortazavi M., Nasution M. K., Abdolahzadeh F., Behroozi M., Davarpanah A. Sustainable learning environment by mobile-assisted language learning methods on the improvement of productive and receptive foreign language skills: A comparative study for Asian universities. Sustainability. 2021. 13(11). https://doi.org/10.3390/su13116328
34. Ostojic B, Cvjetkovic M, Jovanovic D, Latinovic B. The Influence of Marketing Activities of Companies on Social Networks on the Purchase Decisions of Students. Futurity Economics & Law [Internet]. 2024 Jul. 9 [cited 2024 Aug. 16];4(3):82-98. Available from: http://www.futurity-econlaw.com/index.php/FEL/article/view/257.
35. Paragae I. P. N. S. Innovative teaching strategies in teaching English as a foreign language. English Teaching and Linguistics Journal (ETLiJ). 2023. 4(1):-9. https://jurnal.umsu.ac.id/index.php/ETLiJ/article/view/12990.
36. Pedro F., Subosa M., Rivas A., Valverde P. Artificial intelligence in education: Challenges and opportunities for sustainable development. 2019. http://repositorio.minedu.gob.pe/handle/20.500.12799/6533.
37. Prokopenko O, Sapinski A. Using Virtual Reality in Education: Ethical and Social Dimensions. E-Learning Innovations Journal [Internet]. 2024 Mar. 25 [cited 2024 Aug. 16];2(1):41-62. Available from: https://www.el-journal.org/index.php/journal/article/view/13.
38. Salloum S., Gaber T., Vadera S., Shaalan K. Phishing email detection using natural language processing techniques: a literature survey. Procedia Computer Science. 2021. 189: 19-28. https://doi.org/10.1016/j.procs.2021.05.077
39. Salloum S., Gaber T., Vadera S., Shaalan, K. A systematic literature review on phishing email detection using natural language processing techniques. IEEE Access. 2022. 10: 65703-65727. https://ieeexplore.ieee.org/abstract/document/9795286.
40. Schmitt P. A. Translation 4.0-evolution, revolution, innovation or disruption? Lebende Sprachen. 2019. 64(2): 193-229. https://doi.org/10.1515/les-2019-0013
41. Hunko I, Muliarevych O, Trishchuk R, Zybin S, Halachev P. The role of virtual reality in improving software testing methods and tools. J Theor Appl Inf Technol. 2024;102(11):4723-4734.
42. Shakun N. Anthropological dilemmas of information society development modern stage in the context of globalization challenges. Future Philosophy. 2022. 1(3): 52-63. https://doi.org/10.57125/FP.2022.09.30.04
43. Shrivastava R., Jain M., Vishwakarma S. K., Bhagyalakshmi L., Tiwari R. Cross-Cultural Translation Studies in the Context of Artificial Intelligence: Challenges and Strategies. In International Conference on Communications and Cyber Physical Engineering 2018. 91-98. Singapore: Springer Nature Singapore. https://link.springer.com/chapter/10.1007/978-981-19-8086-2_9
44. Starynskyi M, Zavalna Z. Economic sovereignty of a modern state in the context of sustainable development. Law, Business and Sustainability Herald [Internet]. 2021 Aug. 25 [cited 2024 Aug. 16];1(2):5-15. Available from: https://lbsherald.org/index.php/journal/article/view/15.
45. Skoryk, T., Dorohan, I., Demchyk, K., Sidorova, I., & Strebkova, D. (2024). International exchanges and cooperation in art education in Ukraine: challenges and opportunities. Multidisciplinary Reviews, 6, 2023spe001. https://doi.org/10.31893/multirev.2023spe001
46. Tsekhmister Y. Medical informatics and biophysics in medical universities of European countries: A systematic review and meta-analysis. Electronic Journal of General Medicine. 2024. 21(2). https://doi.org/10.29333/ejgm/14197
47. Tsekhmister Y., Konovalova T., Tsekhmister B. Using behavioral analytics to personalize learning experiences in digital medical education: a case study. Academia. 2023. (33): 83-103. https://pasithee.library.upatras.gr/academia/article/view/4543.
48. Vistorte A. O. R., Deroncele-Acosta A., Ayala J. L. M., Barrasa A., López-Granero C., Martí-González M. Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review. Frontiers in Psychology. 2024. https://doi.org/10.3389/fpsyg.2024.1387089
49. Vovchenko O., Leonova I., Soroka I., Klymenko I., Tsekhmister Y. The impact of emotional intelligence on the academic performance of students with intellectual disabilities in inclusive education. Journal of Intellectual Disability-Diagnosis and Treatment. 2022. 10(4): 187-196. https://doi.org/10.6000/2292-2598.2022.10.04.4
50. Xia Q., Chiu T. K., Lee M., Sanusi I. T., Dai Y., Chai C. S. A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education. Computers & Education. 2022. 189. https://doi.org/10.1016/j.compedu.2022.104582
51. Yuriy R, Tatarina O, Kaminskyy V, Silina T, Bashkirova L. Modern Methods and Prospects for Using Artificial Intelligence in Disease Diagnostics: A Narrative Review. Futurity Medicine [Internet]. 2024 Jul. 27 [cited 2024 Aug. 16];3(4). Available from: https://futurity-medicine.com/index.php/fm/article/view/132
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Copyright (c) 2024 Viktoriya Mykhaylenko, Nadiia Safonova, Ruslan Ilchenko, Anton Ivashchuk, Ivanna Babik (Author)
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