Integrating Artificial Intelligence for Academically Challenged Students Education and Health
DOI:
https://doi.org/10.33050/italic.v4i1.949Keywords:
Artificial Intelligence, Medical, Developmental Disabilities, Adaptive Learning, Intellectual DisabilitiesAbstract
Students with Intellectual and Developmental Disabilities (ID/DD) often experience overlapping medical and cognitive challenges that affect their academic participation and social interaction. Frequent absences, delayed progress, and limited communication skills highlight the urgent need for an integrated support system. Despite advancements in educational technology, most digital learning tools remain limited in addressing the dual educational and healthcare needs of ID/DD students. This study aims to identify existing gaps and propose a systematic framework for integrating Artificial Intelligence (AI) into education and health systems to enhance personalized learning and well-being for students with ID/DD. The study emphasizes the importance of combining health data with instructional design to achieve inclusive and adaptive learning experiences. A systematic literature review was conducted across multiple databases, including IEEE Xplore, ERIC, ACM Digital Library, and NFER, covering studies published between 2020 and 2025. The review process followed the PRISMA guideline and applied strict inclusion and exclusion criteria to ensure the validity of selected studies. The findings reveal that AI has been used to support ID/DD learners in various contexts, but most implementations remain fragmented, lacking integration between educational and medical data. The proposed AI-based framework connects these domains through data-driven decision-making, adaptive feedback, and intelligent reasoning mechanisms. This study contributes to the development of a holistic AI-driven model that supports individualized learning and health monitoring in line with SDG 3 (Good Health and Well-Being) and SDG 4 (Quality Education). Strengthening collaboration among educators, caregivers, and healthcare professionals can create more inclusive and effective educational ecosystems for ID/DD students.
References
F. F. Kharbat, A. Alshawabkeh, and M. L. Woolsey, “Identifying gaps in using artificial intelligence to support students with intellectual disabilities from education and health perspectives,” Aslib Journal of Information Management, vol. 73, no. 1, pp. 101–128, 2021.
J. Wang and J. Li, “Artificial intelligence empowering public health education: prospects and challenges,” Frontiers in public health, vol. 12, p. 1389026, 2024.
U. Rahardja, P. Silvia, S. Hakiki, L. Devi et al., “Pengaruh prinsip syariah pada manajemen dan kualitas tata kelola pendidikan: The influence of sharia principles on management and quality of educational governance,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 3, no. 2, pp. 108–117, 2025.
A. Mansourzadeh and S. Rasouli, “The future of medical education: A review of the opportunities and challenges of artificial intelligence integration,” Medical Education Bulletin, vol. 5, no. 2, pp. 973–982, 2024.
M. K. K. Rony, S. Ahmad, S. M. Tanha, D. C. Das, M. R. Akter, M. A. Khatun, M. H. Begum, M. I. Khalil, U. R. Peu, M. R. Parvin et al., “Nursing educators’ perspectives on the integration of artificial intelligence into academic settings,” SAGE Open Nursing, vol. 11, p. 23779608251342931, 2025.
M. N. Ayubi and A. Retnowardhani, “Optimizing learning experiences: A study of student satisfaction with lms in higher education,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 527–541, 2025.
M. Zarei, H. E. Mamaghani, A. Abbasi, and M.-S. Hosseini, “Application of artificial intelligence in medical education: A review of benefits, challenges, and solutions,” Medicina Cl´ınica Pr´actica, vol. 7, no. 2, p. 100422, 2024.
M. N. Ahmad, S. A. Abdallah, S. A. Abbasi, and A. M. Abdallah, “Student perspectives on the integration of artificial intelligence into healthcare services,” Digital Health, vol. 9, p. 20552076231174095, 2023.
M. Hardini, H. Hetilaniar, S. E. E. Girsang, S. N. W. Putra, and I. N. Hikam, “Advancing higher education: Longitudinal study on ai integration and its impact on learning,” International Journal of Cyber and IT Service Management, vol. 5, no. 1, pp. 23–30, 2025.
I. Saputra, M. Astuti, M. Sayuti, and D. Kusumastuti, “Integration of artificial intelligence in education: Opportunities, challenges, threats and obstacles. a literature review.” The Indonesian journal of computer science, vol. 12, no. 4, 2023.
H. Lin and Q. Chen, “Artificial intelligence (ai)-integrated educational applications and college students’ creativity and academic emotions: students and teachers’ perceptions and attitudes,” BMC psychology, vol. 12, no. 1, p. 487, 2024.
M. of National Education of the Republic of Indonesia, “Ministerial regulation of the ministry of national education of the republic of indonesia number 70 year 2009 on inclusive education for students with disabilities and students with special talents,” 2009, jakarta, Indonesia. [Online]. Available: /mnt/data/Permendiknas 70 2009.pdf
A. Felix, D. Y. Bernanda, A. S. Kembau, F. Effendy, and R. Nathaniel, “Application-based elementary schools interactive education platform analysis and design,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 6, no. 2, pp. 114–128, 2025.
S. Shishehgar, P. Murray-Parahi, E. Alsharaydeh, S. Mills, and X. Liu, “Artificial intelligence in health education and practice: A systematic review of health students’ and academics’ knowledge, perceptions and experiences,” International Nursing Review, vol. 72, no. 2, p. e70045, 2025.
D. Aggarwal, “Integration of innovative technological developments and ai with education for an adaptive learning pedagogy,” China Petroleum Processing and Petrochemical Technology, vol. 23, no. 2, pp. 709–714, 2023.
S. Rahayu, N. Septiani, R. Z. Ikhsan, Y. M. Kareem, U. Rahardja et al., “Revolutionizing renewable energy systems throughadvanced machine learning integration approaches,” Journal of Computer Science and Technology Application, vol. 2, no. 2, pp. 23–34, 2025.
A. Bressane, D. Zwirn, A. Essiptchouk, A. C. V. Saraiva, F. L. de Campos Carvalho, J. K. S. Formiga, L. C. de Castro Medeiros, and R. G. Negri, “Understanding the role of study strategies and learning disabilities on student academic performance to enhance educational approaches: A proposal using artificial intelligence,” Computers and Education: Artificial Intelligence, vol. 6, p. 100196, 2024.
L. Sun, C. Yin, Q. Xu, and W. Zhao, “Artificial intelligence for healthcare and medical education: a systematic review,” American journal of translational research, vol. 15, no. 7, p. 4820, 2023.
S. Pratama and L. A. M. Nelloh, “Leveraging influencer marketing in higher education: Key roles, sectors, platforms, and influencer types for institutional branding,” Startupreneur Business Digital (SABDA Journal), vol. 4, no. 2, pp. 134–145, 2025.
P. D. Barua, J. Vicnesh, R. Gururajan, S. L. Oh, E. Palmer, M. M. Azizan, N. A. Kadri, and U. R. Acharya, “Artificial intelligence enabled personalised assistive tools to enhance education of children with neurodevelopmental disorders—a review,” International Journal of Environmental Research and Public Health, vol. 19, no. 3, p. 1192, 2022.
S. Z. Salas-Pilco, K. Xiao, and J. Oshima, “Artificial intelligence and new technologies in inclusive education for minority students: A systematic review,” Sustainability, vol. 14, no. 20, p. 13572, 2022.
M. Yusup, M. F. Ariq, E. J. A. H. Nasution, A. Z. Fahreza, and J. Edwards, “Digital transformation and branding for empowering the creative economy based on local wisdom: Transformasi digital dan branding untuk pemberdayaan ekonomi kreatif berbasis kearifan lokal,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 6, no. 1, pp. 45–54, 2025.
B. George and O. Wooden, “Managing the strategic transformation of higher education through artificial intelligence,” Administrative Sciences, vol. 13, no. 9, p. 196, 2023.
R. Royani, R. Fahrudin, A. F. Syatifa, and E. D. Astuti, “Impact of outcome-based education on graduate readiness in the era of globalization through international benchmarking: Pengaruh outcome-based education (obe) terhadap kesiapan lulusan di era globalisasi studi benchmarking internasional,” ADI PengabdianKepada Masyarakat, vol. 5, no. 2, pp. 129–139, 2025.
V. Kuleto, M. Ili´c, M. Dumangiu, M. Rankovi´c, O. M. Martins, D. P˘aun, and L. Mihoreanu, “Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions,” Sustainability, vol. 13, no. 18, p. 10424, 2021.
M. F. Shahzad, S. Xu, W. M. Lim, X. Yang, and Q. R. Khan, “Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning,” Heliyon, vol. 10, no. 8, 2024.
D. Novitasari, F. S. Goestjahjanti, U. Rahardja, S. Santoso, S. V. Sihotang, N. A. Santoso, and G. P. Cesna, “Optimizing msme performance through marketing capabilities and digital marketing adoption,” in 2025 4th International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2025, pp. 1–7.
Institute of Education Sciences, “Research and development partnerships using artificial intelligence to support students with disabilities,” NCSER Highlight Blog, U.S. Department of Education, 2023.
Y. I. Tanjung, F. Festiyed, S. Diliarosta, A. Asrizal, F. Arsih, M. A. Fadillah, and G. Makrooni, “Culturally responsive teaching in science education and its relationship with technopreneurship,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 387–399, 2025.
B. Karan and G. Angadi, “Potential risks of artificial intelligence integration into school education: A systematic review,” Bulletin of Science, Technology & Society, vol. 43, no. 3-4, pp. 67–85, 2023.
M. Dave and N. Patel, “Artificial intelligence in healthcare and education,” British dental journal, vol. 234, no. 10, pp. 761–764, 2023.
H. E. Sari, B. Tumanggor, and D. Efron, “Improving educational outcomes through adaptive learning systems using ai,” International Transactions on Artificial Intelligence, vol. 3, no. 1, pp. 21–31, 2024.
S. Akgun and C. Greenhow, “Artificial intelligence in education: Addressing ethical challenges in k-12 settings,” AI and Ethics, vol. 2, no. 3, pp. 431–440, 2022.
S. Tan, “Harnessing artificial intelligence for innovation in education,” in Learning intelligence: Innovative and digital transformative learning strategies: Cultural and social engineering perspectives. Springer, 2023, pp. 335–363.
L. Meria, C. S. Bangun, and J. Edwards, “Exploring sustainable strategies for education through the adoption of digital circular economy principles,” International Transactions on Education Technology (ITEE), vol. 3, no. 1, pp. 62–71, 2024.
E. Dimitriadou and A. Lanitis, “A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms,” Smart Learning Environments, vol. 10, no. 1, p. 12, 2023.
C. Lukita, K. D. Hartomo, F. P. Oganda, Q. Aini, R. Rosdiana, M. M. Sari, and R. N. Muti, “Empirical study on intelligent information system integration for digital transformation in accounting education,” in 2025 4th International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2025, pp. 1–7.
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