Learning Environment, Learning Outcomes and Artificial Intelligence: The Synergistic Relationship

Authors

Joanne Nabwire Lyanda

Department of Curriculum and Instructional Technology, Masinde Muliro University of Science and Technology (Kenya)

Article Information

DOI: 10.47772/IJRISS.2025.91100510

Subject Category: Education

Volume/Issue: 9/11 | Page No: 6469-6478

Publication Timeline

Submitted: 2025-11-28

Accepted: 2025-12-04

Published: 2025-12-20

Abstract

Artificial intelligence (AI) is reshaping the educational landscape by turning traditional classrooms into interactive, flexible, and personalised learning settings. This meta-analysis examines the incorporation of AI in education, highlighting its impact on learning environment and learning outcomes. It examines how AI technologies, via personalized learning pathways, smart tutoring systems, and immediate feedback, assist educators in delivering instruction suited to students’ unique needs, preferences, and learning styles. Using environmental and pedagogical frameworks, the study explores the diverse effects of AI on essential aspects of the learning environment such as cognitive, emotional, physical, psychosocial and educational aspects. It shows that AI-powered tools enhance engagement and motivation while fostering equity and inclusion by adapting to different learner abilities. The study also shows how AI facilitates the simplification of administrative responsibilities like grading and data management, allowing teachers to focus on more significant student interactions throughout the learning process. There is a significant relationship between AI-powered learning settings and better educational results, underpinned by theoretical perspectives from Bandura’s social cognitive theory. As students’ behaviours and interactions with AI change, so do the results of their educational experiences. Novelty and innovations are essential for sustaining learner engagement when utilizing AI. The use of AI in education enables a transition from content-focused teaching to student-centred learning, resulting in more engaging, efficient and inclusive educational experiences. Educators are advised to adopt new technologies such as AI, AR and VR to address the requirements of 21st century students and enhance learning outcomes in an evolving learning environment.

Keywords

Learning environment, Artificial Intelligence, Learning outcomes

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References

1. A Alomair, M. (2024). The Impact of Artificial Intelligence Applications on Enhancing the Quality of Secondary-Level Education: Perspectives of Teachers and Students aking Skills. Journal of Faculty of Education-Assiut University, 40(5), 1-45. [Google Scholar] [Crossref]

2. AI Impact on Education: Its Effect on Teaching and Student Success. (n.d.). Retrieved 27 June 2025, from https://www.netguru.com/blog/ai-in-education [Google Scholar] [Crossref]

3. Alam, A. (2023). Harnessing the Power of AI to Create Intelligent Tutoring Systems for Enhanced Classroom Experience and Improved Learning Outcomes. In G. Rajakumar, K.-L. Du, & Á. Rocha (Eds.), Intelligent Communication Technologies and Virtual Mobile Networks (Vol. 171, pp. 571–591). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-1767-9_42 [Google Scholar] [Crossref]

4. Ait Baha, T., El Hajji, M., Es-Saady, Y., & Fadili, H. (2024). The impact of educational chatbot on student learning experience. Education and Information Technologies, 29(8), 10153-10176. [Google Scholar] [Crossref]

5. Baillifard, A., Gabella, M., Lavenex, P. B., & Martarelli, C. S. (2023). Implementing learning principles with a personal AI tutor: A case study. arXiv preprint arXiv:2309.13060. [Google Scholar] [Crossref]

6. Biggs, J., & Tang, C. (2011). Teaching for quality learning at university (4th ed.). Open University Press. [Google Scholar] [Crossref]

7. Brooks, D. C. (2011). Space matters: The impact of formal learning environments on student learning. British Journal of Educational Technology, 42(5), 719–726. [Google Scholar] [Crossref]

8. Brooks, S., Dobbins, K., Scott, J. J. A., Rawlinson, M., & Norman, R. I. (2014). Learning about learning outcomes: the student perspective. Teaching in Higher Education, 19(6), 721–733. https://doi.org/10.1080/13562517.2014.901964 [Google Scholar] [Crossref]

9. Cleveland, B., & Fisher, K. (2014). The evaluation of physical learning environments: A critical review of the literature. Learning Environments Research, 17(1), 1–28. [Google Scholar] [Crossref]

10. Cayubit, R. F. O. (2022). Why learning environment matters? An analysis on how the learning environment influences the academic motivation, learning strategies and engagement of college students. Learning Environments Research, 25(2), 581-599. [Google Scholar] [Crossref]

11. Closs, L., Mahat, M., & Imms, W. (2022). Learning environments’ influence on students’ learning experience in an Australian Faculty of Business and Economics. Learning environments research, 25(1), 271-285. [Google Scholar] [Crossref]

12. Cheung, S. K., Kwok, L. F., Phusavat, K., & Yang, H. H. (2021). Shaping the future learning environments with smart elements: challenges and opportunities. International Journal of Educational Technology in Higher Education, 18(1), 16. [Google Scholar] [Crossref]

13. Elimadi, I., Chafiq, N., & Ghazouani, M. (2024). Artificial Intelligence in the Context of Digital Learning Environments (DLEs): Towards Adaptive Learning. In A. Chakir, J. F. Andry, A. Ullah, R. Bansal, & M. Ghazouani (Eds.), Engineering Applications of Artificial Intelligence (pp. 95–111). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-50300-9_6 [Google Scholar] [Crossref]

14. Framework for AI-Powered Learning Environments.pdf. (n.d.). Google Docs. Retrieved 9 April 2025, from https://drive.google.com/file/d/1VGz60Af9pMSAwJDkAawjQDzYqs6YzdaI/view?usp=embed_facebook [Google Scholar] [Crossref]

15. Fraser, B. J. (2015). Classroom learning environments. In R. Gunstone (Ed.), Encyclopedia of science education. Springer. [Google Scholar] [Crossref]

16. Ghamrawi, N., Shal, T., & Ghamrawi, N. A. R. (2024). Exploring the impact of AI on teacher leadership: Regressing or expanding? Education and Information Technologies, 29(7), 8415–8433. https://doi.org/10.1007/s10639-023-12174-w [Google Scholar] [Crossref]

17. Guney, A., & Al, S. (2012). Effective Learning Environments in Relation to Different Learning Theories. 4th WORLD CONFERENCE ON EDUCATIONAL SCIENCES (WCES-2012) 02-05 February 2012 Barcelona, Spain, 46, 2334–2338. https://doi.org/10.1016/j.sbspro.2012.05.480 [Google Scholar] [Crossref]

18. Hao, Z., Cao, J., Li, R., Yu, J., Liu, Z., & Zhang, Y. (2025). Mapping Student-AI Interaction Dynamics in Multi-Agent Learning Environments: Supporting Personalised Learning and Reducing Performance Gaps. arXiv preprint arXiv:2506.02993. [Google Scholar] [Crossref]

19. Hariyanto, Kristianingsih, F. X. D., & Maharani, R. (2025). Artificial intelligence in adaptive education: a systematic review of techniques for personalized learning. Discover Education, 4(1), 458. [Google Scholar] [Crossref]

20. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. [Google Scholar] [Crossref]

21. Harden, R. M. (2001). The learning environment and the curriculum. Medical Teacher, 23(4), 335–336. https://doi.org/10.1080/01421590120063321 [Google Scholar] [Crossref]

22. Jafari, E. (2024). Artificial intelligence and learning environment: Human considerations. Journal of Computer Assisted Learning, 40(5), 2135–2149. https://doi.org/10.1111/jcal.13011 [Google Scholar] [Crossref]

23. Li, J., & Xue, E. (2023). Dynamic interaction between student learning behaviour and learning environment: Meta-analysis of student engagement and its influencing factors. Behavioral Sciences, 13(1), 59. [Google Scholar] [Crossref]

24. Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069–6104. https://doi.org/10.1007/s10639-021-10831-6 [Google Scholar] [Crossref]

25. Keong L. M (2025). AI-Personalised Learning in Higher Education: A Study on Learning Outcomes and Motivation among University Students. International Journal of Research and Innovation in Social Science (IJRISS), 9(05), 6075-6085. https://doi.org/https://dx.doi.org/10.47772/IJRISS.2025.905000473 [Google Scholar] [Crossref]

26. Koedinger, K. R., Booth, J. L., & Klahr, D. (2015). Instructional complexity and the science of learning. Educational Researcher, 44(3), 161–167. [Google Scholar] [Crossref]

27. Lizzio, A., Wilson, K., & Simons, R. (2002). University Students’ Perceptions of the Learning Environment and Academic Outcomes: Implications for theory and practice. Studies in Higher Education, 27(1), 27–52. https://doi.org/10.1080/03075070120099359 [Google Scholar] [Crossref]

28. Li, S., Zeng, C., Liu, H., Jia, J., Liang, M., Cha, Y., ... & Wu, X. (2025). A meta-analysis of AI-enabled personalized STEM education in schools. International Journal of STEM Education, 12(1), 58. [Google Scholar] [Crossref]

29. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education. [Google Scholar] [Crossref]

30. Maher, A. (2004). Learning outcomes in higher education: Implications for curriculum design and student learning. Journal of Hospitality, Leisure, Sport & Tourism Education (Oxford Brookes University), 3(2). [Google Scholar] [Crossref]

31. Matere, A. (2024). Effectiveness of artificial intelligence tools in teaching and learning in higher education institutions in Kenya. Journal of the Kenya National Commission for UNESCO, 5(1). [Google Scholar] [Crossref]

32. Merino-Campos, C. (2025). The impact of artificial intelligence on personalized learning in higher education: A systematic review. Trends in Higher Education, 4(2), 17. [Google Scholar] [Crossref]

33. NCEE. (2024, April 7). Framework for AI-Powered Learning Environments • NCEE. NCEE. https://ncee.tempurl.host/framework-for-ai-powered-learning-environments/ [Google Scholar] [Crossref]

34. Nguyen, L. T., Kanjug, I., Lowatcharin, G., Manakul, T., Poonpon, K., Sarakorn, W., & Tuamsuk, K. (2022). How teachers manage their classroom in the digital learning environment–experiences from the University Smart Learning Project. Heliyon, 8(10). [Google Scholar] [Crossref]

35. Olson, M. H., & Ramírez, J. J. (2020). An introduction to theories of learning. Routledge. [Google Scholar] [Crossref]

36. Poyato-Nunez, M. M., del Carmen Olmos-Gomez, M., & Parra-Gonzalez, M. E. (2024). The Educational Space and Its Impact on Pedagogical Dynamics: Teachers' Perception of Their Working Environment. Journal of Education and e-Learning Research, 11(4), 646-654. [Google Scholar] [Crossref]

37. Pratama, M. P., Sampelolo, R., & Lura, H. (2023). Revolutionizing Education: Harnessing The Power Of Artificial Intelligence For Personalized Learning. Klasikal : Journal Of Education, Language Teaching And Science, 5(2), Article 2. https://doi.org/10.52208/klasikal.v5i2.877 [Google Scholar] [Crossref]

38. Raza, H., Mahmood, Q. K., & Jalil, A. (2019). Teaching and learning environment as predictor of nurturing education capabilities among students in Lahore, Pakistan. Journal of Human Behavior in the Social Environment, 29(5), 661–671. https://doi.org/10.1080/10911359.2019.1590278 [Google Scholar] [Crossref]

39. Rusticus, S. A., Pashootan, T., & Mah, A. (2023). What are the key elements of a positive learning environment? Perspectives from students and faculty. Learning environments research, 26(1), 161-175. [Google Scholar] [Crossref]

40. Sari, H. E., Tumanggor, B., & Efron, D. (2024). Improving Educational Outcomes Through Adaptive Learning Systems using AI. International Transactions on Artificial Intelligence (ITALIC), 3(1), 21–31. https://doi.org/10.33050/italic.v3i1.647 [Google Scholar] [Crossref]

41. Using AI in education to help teachers and their students. (2025, January 9). World Economic Forum. https://www.weforum.org/stories/2025/01/how-ai-and-human-teachers-can-collaborate-to-transform-education/ [Google Scholar] [Crossref]

42. Sayfulloevna, S. S. (2023). Safe Learning Environment and Personal DevelopmentofStudents. International Journal of Formal Education, 2(3), 7–12. Retrieved from https://journals.academiczone.net/index.php/ijfe/article/view/605 [Google Scholar] [Crossref]

43. Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of e-Learning, 20(5), 639-653. [Google Scholar] [Crossref]

44. Thompson, N. E., & Wheeler, J. P. (2010). Learning environment: Creating and implementing a safe, supportive learning environment. National Standards for Teachers of Family and Consumer Sciences, 235. [Google Scholar] [Crossref]

45. Van der Bijl, J. J., & Shortridge-Baggett, L. M. (2002). The theory and measurement of the self-efficacy construct. Self-efficacy in nursing: Research and measurement perspectives, 15(3), 189-20. [Google Scholar] [Crossref]

46. Vermeulen, L., & Schmidt, H. G. (2008). Learning environment, learning process, academic outcomes and career success of university graduates. Studies in Higher Education, 33(4), 431–451. https://doi.org/10.1080/03075070802211810 [Google Scholar] [Crossref]

47. Vieriu, A. M., & Petrea, G. (2025). The Impact of Artificial Intelligence (AI) on Students’ Academic Development. Education Sciences, 15(3), 343. https://doi.org/10.3390/educsci15030343 [Google Scholar] [Crossref]

48. Woolf, B. P., Arroyo, I., & Cooper, D. G. (2013). A vision for intelligent tutoring systems. In Nkambou, R., Bourdeau, J., & Mizoguchi, R. (Eds.), Advances in Intelligent Tutoring Systems (pp. 1–14). Springer. [Google Scholar] [Crossref]

49. Weng, X., & Chiu, T. K. F. (2023). Instructional design and learning outcomes of intelligent computer assisted language learning: Systematic review in the field. Computers and Education: Artificial Intelligence, 4, 100117. https://doi.org/10.1016/j.caeai.2022.100117 [Google Scholar] [Crossref]

50. Wu, R., & Yu, Z. (2024). Do AI chatbots improve students learning outcomes? Evidence from a meta‐analysis. British Journal of Educational Technology, 55(1), 10-33. [Google Scholar] [Crossref]

51. Xie, X. (2023). Influence of AI-driven Inquiry Teaching on Learning Outcomes. International Journal of Emerging Technologies in Learning (iJET), 18(23), 59–70. [Google Scholar] [Crossref]

52. Xu, Z. (2024). AI in education: Enhancing learning experiences and student outcomes. Applied and Computational Engineering, 51(1), 104–111. https://doi.org/10.54254/2755-2721/51/20241187 [Google Scholar] [Crossref]

53. Xu, Q., Liu, Y., & Li, X. (2025). Unlocking student potential: How AI-driven personalized feedback shapes goal achievement, self-efficacy, and learning engagement through a self-determination lens. Learning and Motivation, 91, 102138 [Google Scholar] [Crossref]

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