Harnessing Artificial Intelligence Tools to Enhance Smart Learning

Galal eldin Abbas Eltayeb

Abstract


The emergence of smart learning applications has significantly impacted the educational process, transforming student interaction and shaping the future of learning. Integrating artificial intelligence into smart learning applications has become a powerful tool, enriching student interaction and shaping the future of learning. This paper explores the transformative impact of artificial intelligence on smart learning applications, focusing on the characteristics, applications, and benefits of artificial intelligence -integrated smart learning. It uses a literature review method to analyze existing studies on smart learning and artificial intelligence integration in education. This study identifies key characteristics of practical smart learning applications, their impact on student outcomes, and the challenges and benefits of artificial intelligence integration. Empirical data from various educational institutions has been examined to provide real-world examples and case studies of successful smart learning implementations. The findings reveal that artificial intelligence significantly enhances learning experiences and improves student engagement and outcomes but it also necessitates careful consideration of data privacy, digital equity, teacher training, and ethical considerations. The research concludes that ongoing collaboration between educators, developers, and policymakers is crucial for maximizing artificial intelligence benefits in education while mitigating potential risks and ensuring equitable access to quality learning for all students.

https://doi.org/10.26803/ijlter.24.2.25


Keywords


e-learning; smart learning; education; technology; artificial intelligence

Full Text:

PDF

References


Abbas Shah, S. F., Mazhar, T., Shahzad, T., Khan, M. A., Ghadi, Y. Y., & Hamam, H. (2023). Integrating educational theories with virtual reality: Enhancing engineering education and VR laboratories. Social Sciences & Humanities Open, 10, 101207. https://doi.org/10.1016/j.ssaho.2024.101207

Alfredo, R., Echeverria, V., Jin, Y., Yan, L., Swiecki, Z., Gaševi?, D., & Martinez-Maldonado, R. (2024). Human-centred learning analytics and AI in education: A systematic literature review. Computers and Education: Artificial Intelligence, 6, 100215. https://doi.org/10.1016/j.caeai.2024.100215

Ambele, R. M., Kaijage, S. F., Dida, M. A., Trojer, L., & Kyando, N. M. (2022). A review of the development trend of personalized learning technologies and its applications. International Journal of Advances in Scientific Research and Engineering, 8(11), 75–91. https://doi.org/10.31695/ijasre.2022.8.11.9

Artificial Intelligence (AI) Guidance. (2024). U.S. Department of Education. https://www.ed.gov/about/ed-overview/artificial-intelligence-ai-guidance

Asoodeh, M., Asoodeh, M., & Zarepour, M. (2012). The impact of student-centered learning on academic achievement and social skills. Procedia – Social and Behavioral Sciences, 46, 560–564. https://doi.org/10.1016/j.sbspro.2012.05.160

Bandura, A. (2024). Social Learning Analysis of Aggression. Routledge EBooks. https://doi.org/10.4324/9781003487630-10

Banihashem, S. K., Noroozi, O., Van Ginkel, S., Macfadyen, L. P., & Biemans, H. J. (2022). A systematic review of the role of learning analytics in enhancing feedback practices in higher education. Educational Research Review, 37, 100489. https://doi.org/10.1016/j.edurev.2022.100489

Bradley, B. (2021). Global spending on virtual reality, AI in education poised to skyrocket, report says. Marketbrief. https://marketbrief.edweek.org/education-market/global-spending-on-virtual-reality-ai-in-education-poised-to-skyrocket-report-says/2021/02

Chatterjee, P., Gantait, A., Swamy, G.A., George, B. (2023). Information and Communication Technologies in Education: A Framework for Transforming the Indian Education System through Smart Learning. In A. Omrane, G. Patra, & S. Datta (Eds.), Digital Technologies for Smart Business, Economics and Education. Arts, Research, Innovation and Society. Springer. https://doi.org/10.1007/978-3-031-24101-7_16

Clarke, M. (2023). The Australian Framework for Generative Artificial Intelligence (AI) in Schools - Department of Education, Australian Government. Department of Education. https://www.education.gov.au/schooling/announcements/australian-framework-generative-artificial-intelligence-ai-schools

Cortez, P. M., Ong, A. K. S., Diaz, J. F. T., German, J. D., & Singh Jagdeep, S. J. S. (2024). Analyzing preceding factors affecting behavioral intention on communicational artificial intelligence as an educational tool. Heliyon, 10(3), e25896. https://doi.org/10.1016/j.heliyon.2024.e25896

Cowan, P., & Farrell, R. (2023). Virtual reality as the catalyst for a novel partnership model in initial teacher education: ITE subject methods tutors’ perspectives on the island of Ireland. Education Sciences, 13(3), 228. https://doi.org/10.3390/educsci13030228

Das, S. (2024, May 28). Beyond The Screen: Exploring Augmented Reality In Education. ELearning Industry. https://elearningindustry.com/beyond-the-screen-exploring-augmented-reality-in-education

De Mattei, L., Morato, M. Q., Sidhu, V., Gautam, N., Mendonca, C. T., Tsai, A., Hammer, M., Creighton-Wong, L., & Azzam, A. (2024). Are artificial intelligence virtual simulated patients (AI-VSP) a valid teaching modality for health professional students? Clinical Simulation in Nursing, 92, 101536. https://doi.org/10.1016/j.ecns.2024.101536

Deep, P. D., Ghosh, N., Gaither, C., & Koptelov, A. (2024). Gamification Techniques and the Impact on Motivation, Engagement, and Learning Outcomes in ESL Students. RAIS Journal for Social Sciences, 8, 32–42. https://journal.rais.education/index.php/raiss/article/view/233/188

Deng, W., Wang, L., & Deng, X. (2024). Exploring interactive learning environments based on augmented reality technology. International Journal of Interactive Mobile Technologies (iJIM), 18, 15–29. https://doi.org/10.3991/ijim.v18i12.49911

Dewi O. M., & Elysia, N. (2023). The effects of the smart apps creator-based jire collaborative learning model on students’ physics learning output in Gorontalo city. International Journal of Science and Research Archive, 9(1), 194–202. https://doi.org/10.30574/ijsra.2023.9.1.0387

Digital Learning Canada – Canadian Digital Learning Research Association. (2020, September 25). CDLRA/ACRFL. Canadian Digital Learning Research Association. https://cdlra-acrfl.ca/about/

Dimitriadou, E., & Lanitis, A. (2023). A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learning Environments, 10(1), 12. http://dx.doi.org/10.1186/s40561-023-00231-3

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

Farrelly, T., & Baker, N. (2023). Generative artificial intelligence: Implications and considerations for higher education practice. Education Sciences, 13(11), 1109. https://doi.org/10.3390/educsci13111109

Finnish National Agency for Education. (2019). Front page. Finnish National Agency for Education. https://www.oph.fi/en

Giacon, M. N., & Giselle, T. (2024, January 4). PNE (National Education System) 2014-2024 Goal 20: the challenges for its monitoring and evaluation. https://doi.org/10.13140/RG.2.2.22953.98404

GMI. (2023). AI in education market size, global industry forecast 2027. Global Market Insights, Inc. https://www.gminsights.com/industry-analysis/artificial-intelligence-ai-in-education-market

Hashim, S., Omar, M. K., Jalil, H. A., & Nurfadhlina Mohd Sharef. (2022). Trends on Technologies and Artificial Intelligence in Education for Personalized Learning: Systematic Literature Review. International Journal of Academic Research in Progressive Education and Development, 11(1), 884–903. http://dx.doi.org/10.6007/IJARPED/v11-i1/12230

Jadhav, A. (2024). Smart learning solutions: Harnessing the power of educational software. Market Research Intellect®| Market Analysis and Research Reports, Jul. 15, 2024. https://www.marketresearchintellect.com/blog/smart-learning-solutions-harnessing-the-power-of-educational-software/

Jurczyszyn, E. (2024). Exploring the dynamic landscape of formal, informal and non-formal learning. International Journal of Pedagogy, Innovation and New Technologies, 11(1), 53–59. https://doi.org/10.5604/01.3001.0054.7069

Kapur, R. (2024). Factors necessary in leading to development of the education system in India. International Journal of Information, Business and Management, 16(4), 150–159. https://search.proquest.com/openview/b75fb342452fae5c4b54a3b004384564/1?pq-origsite=gscholar&cbl=2032142

Kerimbayev, N., Umirzakova, Z., & Shadiev, R. (2023). A student-centered approach using modern technologies in distance learning: a systematic review of the literature. Smart Learn. Environ., 10, 61. https://doi.org/10.1186/s40561-023-00280-8

Khan Academy Kids. (2022). Free, Fun Educational App for Young Kids | Khan Academy Kids. Learn.khanacademy.org. https://learn.khanacademy.org/khan-academy-kids/

Kim, T., Cho, J.Y., Lee, B.G. (2013). Evolution to Smart Learning in Public Education: A Case Study of Korean Public Education. In T.Ley, M.Ruohonen, M.Laanpere, A.Tatnall (Eds.), Open and Social Technologies for Networked Learning. Springer. https://doi.org/10.1007/978-3-642-37285-8_18

Kurniawati, Sri. (2025). Social emotional learning on students’ learning motivation to young learners. Jurnal Pendidikan Generasi Nusantara. 3. 1-8. https://doi.org/10.61787/gyzbhw61

Labrague, L. J., & Sabei, S. A. (2024). Integration of AI-powered chatbots in nursing education: A scoping review of their utilization, outcomes, and challenges. Teaching and Learning in Nursing. https://doi.org/10.1016/j.teln.2024.11.010

Li, L. (2024). Editor’s Message for the series of Educational Technology in China. Journal of Educational Technology Development and Exchange, 17(1), I–I. https://doi.org/10.18785/jetde.1701.01

Liang, M., Lim, C. P., Park, J., & Mendoza, N. B. (2023). A review of ICT-enabled learning for schoolgirls in Asia and its impacts on education equity. Educational Technology Research and Development. https://doi.org/10.1007/s11423-022-10178-w

Liu, M., Yu, D. Towards intelligent e-learning systems. Educ Inf Technol., 28, 7845–7876 (2023). https://doi.org/10.1007/s10639-022-11479-6

Lokare, V. T., & Jadhav, P. M. (2024). An AI-based learning style prediction model for personalized and effective learning. Thinking Skills and Creativity, 51, 101421. https://doi.org/10.1016/j.tsc.2023.101421

Lünich, M., Keller, B., & Marcinkowski, F. (2024). Diverging perceptions of artificial intelligence in higher education: A comparison of student and public assessments on risks and damages of academic performance prediction in Germany. Computers and Education: Artificial Intelligence, 7, 100305. https://doi.org/10.1016/j.caeai.2024.100305

MEXT (Ministry of Education, Culture, Sports, Science and Technology). Education system in Japan. Retrieved February 28, 2025, from https://www.mext.go.jp/en/policy/education/index.htm

Mhlongo, S., Mbatha, K., Ramatsetse, B., & Dlamini, R. (2023). Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review. Heliyon, 9(6), e16348. https://doi.org/10.1016/j.heliyon.2023.e16348

Ministry of Human Resource Development. (2020). National Education Policy 2020. Government of India. https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf

Mnguni, L., Nuangchalerm, P., Zaky El Islami, R. A., Sibanda, D., Sari, I. J., & Ramulumo, M. (2024). The behavioural intentions for integrating artificial intelligence in science teaching among pre-service science teachers in South Africa and Thailand. Computers and Education: Artificial Intelligence, 7, 100334. https://doi.org/10.1016/j.caeai.2024.100334

Morris, T. H., & Rohs, M. (2023). The potential for digital technology to support self-directed learning in formal education of children: A scoping review. Interactive learning environments, 31(4), 1974–1987. https://doi.org/10.1080/10494820.2020.1870501

Muthmainnah, P. M. I. S., & Oteir, I. (2022). Playing with AI to investigate human-computer interaction technology and improving critical thinking skills to pursue 21st century age. Education Research International, 2022. https://doi.org/10.1155/2022/6468995

Neves, C., Oliveira, T., Cruz-Jesus, F., & Venkatesh, V. (2025). Extending the unified theory of acceptance and use of technology for sustainable technologies context. International Journal of Information Management, 80, 102838. https://doi.org/10.1016/j.ijinfomgt.2024.102838

Nguyen, L. T., Kanjug, I., Lowatcharin, G., Manakul, T., Poonpon, K., Sarakorn, W., Somabut, A., Srisawasdi, N., Traiyarach, S., & Tuamsuk, K. (2022). How teachers manage their classroom in the digital learning environment – experiences from the University Smart Learning Project. Heliyon, 8(10), e10817. https://doi.org/10.1016/j.heliyon.2022.e10817

Occhipinti, J. A., Prodan, A., Hynes, W., Buchanan, J., Green, R., Burrow, S., Eyre, H. A., Skinner, A., Ujdur, G., Buchanan, J., Hickie, I. B., Heffernan, M., Song, C., & Tanner, M. (2025). Artificial intelligence, recessionary pressures and population health. Bulletin of the World Health Organization, 103(2), 155. https://doi.org/10.48550/arXiv.2403.17405

Praharaj, L., Gupta, D., & Gupta, M. (2024). Efficient federated transfer learning-based network anomaly detection for cooperative smart farming infrastructure. Smart Agricultural Technology, 100727. https://doi.org/10.1016/j.atech.2024.100727

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), 350–57. https://doi.org/10.52208/klasikal.v5i2.877

Prime Minister’s Initiatives. (2024). Uaecabinet.ae. https://uaecabinet.ae/en/prime-ministers-initiatives/mohammed-bin-rashid-smart-learning-programme

Rafiq, S., Iqbal, S., & Afzal, A. (2024). The Impact of Digital Tools and Online Learning Platforms on Higher Education Learning Outcomes. Al-Mahdi Research Journal, 5(4), 359–369. https://ojs.mrj.com.pk/index.php/MRJ/article/view/342

Sabiroh, Md S. S., Ismail, I., Annuar, N., Abdul Rahman, N. R., Abd Hamid, N. Z., & Abd Mutalib, H. (2024). A conceptual analysis of technology integration in classroom instruction towards enhancing student engagement and learning outcomes. International Journal of Education, Psychology and Counseling, 9(55), 750–769. https://doi.org/10.35631/ijepc.955051

Shahzad, M. F., Xu, S., Lim, W. M., Yang, X., & Khan, Q. R. (2024). Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning. Heliyon, 10(8), e29523. https://doi.org/10.1016/j.heliyon.2024.e29523

Sheikhtaheri, A., Taheri Moghadam, S., Dehnad, A., & Tatarpoor, P. (2023). Factors influencing nurses’ acceptance of patient safety reporting systems based on the unified theory of acceptance and use of technology (UTAUT). Informatics in Medicine Unlocked, 49, 101554. https://doi.org/10.1016/j.imu.2024.101554

Shu, X., & Gu, X. (2023). An empirical study of A smart education model enabled by the edu-metaverse to enhance better learning outcomes for students. Systems, 11(2), 75. https://doi.org/10.3390/systems11020075

Siantuba, J., Nkhata, L., & de Jong, T. (2023). The impact of an online inquiry-based learning environment addressing misconceptions on students’ performance. Smart Learning Environments, 10(1). https://doi.org/10.1186/s40561-023-00236-y

Silva, G., Godwin, G., & Jayanagara, O. (2024). The Impact of AI on Personalized Learning and Educational Analytics. International Transactions on Education Technology (ITEE), 3(1), 36–46. https://doi.org/10.33050/itee.v3i1.669

Smart Nation Singapore. (2019). Singapore National AI Strategy 2.0 (NAIS 2.0). Smartnation.gov.sg. https://www.smartnation.gov.sg/nais/

Sweller, J. (1988). Cognitive Load during Problem Solving: Effects on Learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

Tabuenca, B., Uche-Soria, M., Greller, W., Hernández-Leo, D., Balcells-Falgueras, P., Gloor, P., & Garbajosa, J. (2024). Greening smart learning environments with artificial intelligence of things. Internet of Things, 25, 101051. https://doi.org/10.1016/j.iot.2023.101051

Tagdimi, Zakaria & Souhaib, Aammou & Amzil, Ikram. (2023). Resource reappropriation approach: enhancing student engagement and learning outcomes through personalized content. Conhecimento & Diversidade, 15, 213-225. https://doi.org/10.18316/rcd.v15i39.11132

Tatnall, A., & Fluck, A. (2022). Twenty-five years of the education and the information technologies journal: Past and future. Education and Information Technologies, 27(2), 1359–1378. https://doi.org/10.1007/s10639-022-10917-9

Thomas, L. J., Parsons, M., & Whitcombe, D. (2019). Assessment in smart learning environments: Psychological factors affecting perceived learning. Computers in Human Behavior, 95, 197–207. https://doi.org/10.1016/j.chb.2018.11.037

Tope, S. A., & Kalema, B. M. (2019, August 1). A Pedagogical Smart Learning Environment in South African Tertiary Institutions. https://www.researchgate.net/publication/335757216_A_Pedagogical_Smart_Learning_Environment_in_South_African_Tertiary_Institutions

Vorecol.com. (2024). Data Security and Privacy Concerns in Learning Management System Implementation. Vorecol.com. https://vorecol.com/blogs/blog-data-security-and-privacy-concerns-in-learning-management-system-implementation-185048

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems With Applications, 252,124167. https://doi.org/10.1016/j.eswa.2024.124167

Wong, B. (2017). Learning analytics in higher education: An analysis of case studies. Asian Association of Open Universities Journal, 12, 21–40. http://dx.doi.org/10.1108/AAOUJ-01-2017-0009

Xu, J., Li, J., & Yang, J. (2024). Self-regulated learning strategies, self-efficacy, and learning engagement of EFL students in smart classrooms: A structural equation modeling analysis. System, 125, 103451. https://doi.org/10.1016/j.system.2024.103451

Yandex. (2025). Yandex.rs. https://education.yandex.rs/main/index_en

Yavuzalp, N., Derya Gürer, Melih, Curao?lu, O., Durmu?, S., Akayo?lu, S., Bahar, M., Kiliç, F., & Tekinarslan, E. (2016). FATIH Project in Turkey: A Case Analysis. Icm.edu.pl; Wydawnictwo Uniwersytetu ?l?skiego. Katowice 2015. https://open.icm.edu.pl/items/79e2acf5-ec60-4def-861a-e69fb8c58dbe

Yeung, R. C. Y., Yeung, C. H., Sun, D., & Looi, C. K. (2024). A systematic review of drone integrated STEM education at secondary schools (2005–2023): Trends, pedagogies, and learning outcomes. Computers & Education, 104999. https://doi.org/10.1016/j.compedu.2024.104999

Yusup, Y., Subiyakto, B., Sari, R., Ilhami, M. R., & Syarifuddin, S. (2024). Application of Smart Apps Creator as Social Studies Learning Media in Class VII Market Materials. The Kalimantan Social Studies Journal, 6(1), 97. https://doi.org/10.20527/kss.v6i1.12123

Zeng, H., Liu, J., Wu, D., & Yue, L. (2023). Smart education best practices in Chinese schools. Springer. https://doi.org/10.1007/978-981-99-6097-2

Zong Zheng (??), 2024). National Smart Education Platform launches special education section - Ministry of Education of the People’s Republic of China. Moe.gov.cn. http://en.moe.gov.cn/news/press_releases/202412/t20241210_1166463.html


Refbacks



e-ISSN: 1694-2116

p-ISSN: 1694-2493