Perspective of Children with Disabilities as the Implementation of AI in School: Focus Study in Philippines, Malaysia, and Indonesia
DOI:
https://doi.org/10.33394/ijete.v2i2.12381Keywords:
Artificial Intelligence, Inclusive Learning, Students with Disabilities, Personalized Education, Accessibility in EducationAbstract
This study explores the perspectives of students with disabilities on the implementation of Artificial Intelligence (AI) in schools across Philippines, Malaysia, and Indonesia. AI is increasingly recognized for its transformative potential in education, particularly in fostering inclusivity through personalized learning, improved accessibility, and enhanced engagement. A qualitative approach, combined with a literature review, was employed to analyze existing research and identify regional differences in AI implementation. Results indicate that AI tools, such as adaptive learning platforms and assistive technologies, significantly benefit students by addressing individual learning needs and overcoming traditional barriers. However, challenges persist, including inadequate infrastructure, insufficient teacher training, and concerns over data privacy and ethical use of sensitive student information. These obstacles are particularly pronounced in rural and underserved areas, highlighting the need for targeted investments and policy reforms. The study recommends prioritizing infrastructure development, implementing comprehensive training programs for educators, and establishing robust ethical frameworks to ensure responsible AI usage. By addressing these challenges and fostering regional collaboration, AI can become a powerful tool for promoting equity and accessibility in education, ultimately enhancing learning outcomes for students with disabilities. Future research should focus on longitudinal studies and firsthand data collection to better understand AI's long-term impact and refine inclusive educational practices.
References
Adeleye, O. (2024). Innovative teaching methodologies in the era of artificial intelligence: a review of inclusive educational practices. World Journal of Advanced Engineering Technology and Sciences, 11(2), 069-079. https://doi.org/10.30574/wjaets.2024.11.2.0091
Alharbi, W. (2023). AI in the foreign language classroom: a pedagogical overview of automated writing assistance tools. Education Research International, 2023, 1-15. https://doi.org/10.1155/2023/4253331
Alhumaid, K., Naqbi, S., Elsori, D., & Mansoori, M. (2023). The adoption of artificial intelligence applications in education. International Journal of Data and Network Science, 7(1), 457-466. https://doi.org/10.5267/j.ijdns.2022.8.013
Alvi, R. (2023). Inclusive education for early-age blind children. SHS Web of Conferences, 173, 02002. https://doi.org/10.1051/shsconf/202317302002
Alzubaidi, M. and Otoom, M. (2018). Discussion-facilitator: towards enabling students with hearing disabilities to participate in classroom discussions. International Journal of Technology Enhanced Learning, 10(2), 73. https://doi.org/10.1504/ijtel.2018.10008598
Aziz, N., Shaffiei, Z. A., Mutalib, A. A., Roseli, N. H. M., Aziz, N. U. A. & Jaafa, M. S. (2011). Assistive Courseware for Hearing Impaired Learners in Malaysia. International Journal on Advanced Science Engineering and Information Technology, 1(2), 133-138. doi: 10.18517/ijaseit.1.2.30
Baba, K. (2024). Mobile-optimized ai-driven personalized learning: a case study at mohammed vi polytechnic university. International Journal of Interactive Mobile Technologies, 18(4), 81-96. https://doi.org/10.3991/ijim.v18i04.46547
Batanero, J., Cabero‐Almenara, J., & López, E. (2018). Knowledge and degree of training of primary education teachers in relation to ict taught to students with disabilities. British Journal of Educational Technology, 50(4), 1961-1978. https://doi.org/10.1111/bjet.12675
Bone, E. and Bouck, E. (2016). Accessible text-to-speech options for students who struggle with reading. Preventing School Failure Alternative Education for Children and Youth, 61(1), 48-55. https://doi.org/10.1080/1045988x.2016.1188366
Brotosaputro, G., Supriyadi, A. & Jones, M. (2024). AI-Powered Assistive Technologies for Improved Accessibility. International Transactions on Artificial Intelligence, 3(1), 76-84. https://doi.org/10.33050/italic.v3i1.645
Calvo, I., Tropea, P., Viganò, M., Scialla, M., Cavalcante, A., Grajzer, M., … & Corbo, M. (2020). Evaluation of an automatic speech recognition platform for dysarthric speech. Folia Phoniatrica Et Logopaedica, 73(5), 432-441. https://doi.org/10.1159/000511042
Çayir, A. (2023). A literature review on the effect of artificial intelligence on education. İnsan Ve Sosyal Bilimler Dergisi, 6(2), 276-288. https://doi.org/10.53048/johass.1375684
Cruz, E. T. (2021). The Impact of AI-Driven Personalized Learning on Students with Disabilities in the Philippines. Journal of Special Education Technology, 36(2), 99-115.
Darabkh, K., Haddad, L., Sweidan, S., Hawa, M., Saifan, R., & Alnabelsi, S. (2017). An efficient speech recognition system for arm‐disabled students based on isolated words. Computer Applications in Engineering Education, 26(2), 285-301. https://doi.org/10.1002/cae.21884
Delubom, N., Marongwe, N., & Buka, A. (2020). Managers’ challenges on implementing inclusive education. Cypriot Journal of Educational Sciences, 15(6), 1508-1518. https://doi.org/10.18844/cjes.v15i6.5294
De-Leon, R. T. (2020). Overcoming Technological Barriers in Rural Philippine Schools for AI Integration. Technology in Education Journal, 45(3), 317-335.
Dindar, M., Ren, L., & Järvenoja, H. (2020). An experimental study on the effects of gamified cooperation and competition on english vocabulary learning. British Journal of Educational Technology, 52(1), 142-159. https://doi.org/10.1111/bjet.12977
Duplaga, M. (2017). Digital divide among people with disabilities: analysis of data from a nationwide study for determinants of internet use and activities performed online. Plos One, 12(6), e0179825. https://doi.org/10.1371/journal.pone.0179825
Evmenova, A. (2024). Improving writing feedback for struggling writers: generative ai to the rescue? Techtrends, 68(4), 790-802. https://doi.org/10.1007/s11528-024-00965-y
Fahimirad, M. and Kotamjani, S. (2018). A review on application of artificial intelligence in teaching and learning in educational contexts. International Journal of Learning and Development, 8(4), 106. https://doi.org/10.5296/ijld.v8i4.14057
Faresta, R. A. (2024). AI-Powered Education: Exploring the Potential of Personalised Learning for Students' Needs in Indonesia Education. Path of Science, 10(5), 3012-3022.
Fei, I. Y. S., Yasin, R. M. & Khairudin, K. F. B. (2023). Gamify the Education: A Thematic Review for Interactive Approach in Learning. International Journal of Academic Research in Progressive Education and Development, 12(4), 425-438. http://dx.doi.org/10.6007/IJARPED/v12-i4/19714
Garcia, M. R. (2021). AI Initiatives for Inclusive Education in the Philippines: Current Status and Future Directions. Philippine Journal of Education, 90(4), 211-228.
Guan, H. (2023). Advantages and challenges of using artificial intelligence in primary and secondary school education. Journal of Education Humanities and Social Sciences, 22, 377-383. https://doi.org/10.54097/ehss.v22i.12469
Göçen, A. and 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
Hamid, S.S.A. Admodisastro, N. Kamaruddin, A. (2015). A study of computer-based learning model for students with dyslexia. In Proceedings of the 2015 9th Malaysian Software Engineering Conference (MySEC), Kuala Lumpur, Malaysia, 16–17 December 2015; pp. 284–289.
Hata, A., Wang, H., Yuwono, J. & Nomura, S. (2023). Assistive Technologies for Children with Disabilities in Inclusive and Special Schools in Indonesia. Washington, DC: World Bank Publications
Huang, L. (2023). Ethics of artificial intelligence in education: student privacy and data protection. Science Insights Education Frontiers, 16(2), 2577-2587. https://doi.org/10.15354/sief.23.re202
Kim, M., Kim, Y., Yoo, J., Wang, J., & Kim, H. (2017). Regularized speaker adaptation of kl-hmm for dysarthric speech recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(9), 1581-1591. https://doi.org/10.1109/tnsre.2017.2681691
Koch, K. (2017). Stay in the box! embedded assistive technology improves access for students with disabilities. Education Sciences, 7(4), 82. https://doi.org/10.3390/educsci7040082
Kraus, S., Breier, M., Lim, W. M., Dabić, M., Kumar, S., Kanbach, D., Mukherjee, D., Corvello, V., Piñeiro-Chousa, J., Liguori, E., Palacios-Marqués, D., Schiavone, F., Ferraris, A., Fernandes, C., & Ferreira, J. J. (2022). Literature reviews as independent studies: Guidelines for academic practice. Review of Managerial Science, 16(8), 2577–2595. https://doi.org/10.1007/s11846-022-00588-8
Lainjo, B. (2024). Meta-study of the evolutionary transformative academic landscape by artificial intelligence and machine learning. International Journal of Education Teaching and Social Sciences, 4(1), 20-35. https://doi.org/10.47747/ijets.v4i1.1626
Lázaro, G. and Duart, J. (2023). You can handle, you can teach it: systematic review on the use of extended reality and artificial intelligence technologies for online higher education. Sustainability, 15(4), 3507. https://doi.org/10.3390/su15043507
Lersilp, T. (2016). Access to information for learning by using assistive technology for undergraduate students with disabilities in northern thailand. Information, 7(4), 54. https://doi.org/10.3390/info7040054
Lowa, M. (2024). Democratizing Access to Education: AI-Driven Solutions for Inclusive Learning in Malaysia. SSRN Electronic Journal. http://dx.doi.org/10.2139/ssrn.4813758
Makarenko, O. (2024). Embracing artificial intelligence in education: shaping the learning path for future professionals. Multidisciplinary Science Journal, 6, 2024ss0720. https://doi.org/10.31893/multiscience.2024ss0720
Mastam, N. M. & Zaharudin, R. (2024). Work Readiness Skills for Students with Learning Disabilities in Special Education Vocational Schools: A Conceptual Framework. Bitara Education Journal, 17(SE), 1-10. https://doi.org/10.37134/bitara.vol17.sp.1.2024
Mateo, A. L. (2021). Privacy and Security in AI-Driven Educational Applications in the Philippines. Journal of Data Privacy, 14(3), 215-230.
Moxon, S. (2021). Exploring the effects of automated pronunciation evaluation on l2 students in thailand. Iafor Journal of Education, 9(3), 41-57. https://doi.org/10.22492/ije.9.3.03
Nazaretsky, T., Ariely, M., Cukurova, M., & Alexandron, G. (2022). Teachers' trust in ai‐powered educational technology and a professional development program to improve it. British Journal of Educational Technology, 53(4), 914-931. https://doi.org/10.1111/bjet.13232
Nuryadin, R. & Marlina, M. (2023). The Use of AI (Artificial Intelligence) in Education (Literature Review). Indonesian Journal of Primary Education, 7(2), 143-158.
Panjwani-Charania, S. & Zhai, X. (2023). AI for Students with Learning Disabilities: A Systematic Review. In Panjwani-Charania, S. & Zhai, X. (Eds.) Uses of Artificial Intelligence in STEM Education (pp. 1-28). Oxford, UK: Oxford University Press.
Pua, S., Ahmad, N., & Khambari, M. (2021). Identification and analysis of core topics in educational artificial intelligence research: a bibliometric analysis. Cypriot Journal of Educational Sciences, 16(3), 995-1009. https://doi.org/10.18844/cjes.v16i3.5782
Rapti, K. (2023). The use of artificial intelligence during the educational process for students with attention deficit and hyperactivity disorder. World Journal of Biology Pharmacy and Health Sciences, 16(2), 066-075. https://doi.org/10.30574/wjbphs.2023.16.2.0459
Rasheed, Z. (2023). Harnessing artificial intelligence for personalized learning: a systematic review. Data & Metadata, 2, 146. https://doi.org/10.56294/dm2023146
Restianty, A., Sumartias, S., Hadisiwi, P. & Hafiar, H. (2024). Digital Applications as Assistive Technology for Students with Disabilities. ASEAN Journal of Science and Engineering, 4(3), 445-470. https://doi.org/10.17509/ajse.v4i3.74413
Reyes, J. M. (2021). The Role of Text-to-Speech Technology in Improving Accessibility for Visually Impaired Students in the Philippines. Accessibility and Learning Journal, 27(3), 67-80
Santos, M. A. (2021). Gamified Learning for ADHD Students: An AI Approach in the Philippines. Journal of Educational Innovation, 19(2), 143-158.
Saputra, M. (2015). Lexipal: design, implementation and evaluation of gamification on learning application for dyslexia. International Journal of Computer Applications, 131(7), 37-43. https://doi.org/10.5120/ijca2015907416
Sarkar, S. (2024). Mapping the contours. CPAI, 7(4). https://doi.org/10.55016/ojs/cpai.v7i4.78308
Shaban, A., Pearson, E., & Chang, V. (2021). Evaluation of user experience, cognitive load, and training performance of a gamified cognitive training application for children with learning disabilities. Frontiers in Computer Science, 3. https://doi.org/10.3389/fcomp.2021.617056
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Svensson, I., Nordström, T., Lindeblad, E., Gustafson, S., Björn, M., Sand, C., … & Nilsson, S. (2019). Effects of assistive technology for students with reading and writing disabilities. Disability and Rehabilitation Assistive Technology, 16(2), 196-208. https://doi.org/10.1080/17483107.2019.1646821
Syaidina, M. O., Fahrudin, R. & Mutiara, A. I. (2024). Implementation of Ethics of Using Artificial Intelligence in the Education System in Indonesia. Blockchain Frontier Technology (B-Front), 4(1), 63-71. http//10.34306/bfront.v4i1.571
Thomas, D. (2024). The neglected 15%: Positive effects of hybrid human-ai tutoring among students with disabilities. https://doi.org/10.35542/osf.io/y52ew
Villanueva, J. D. (2021). The Importance of Teacher Training for AI in Special Education in the Philippines. Journal of Teacher Education and Training, 37(1), 85-99.
Wahjusaputri, S., Bunyamin, B., Nastiti, T., & Sopandi, E. (2023). Strategy for implementing artificial based learning models in improving learning quality. Dinamika Pendidikan, 18(1), 1-9. https://doi.org/10.15294/dp.v18i1.40119
Wood, E., Ange, B., & Miller, D. (2021). Are we ready to integrate artificial intelligence literacy into medical school curriculum: students and faculty survey. Journal of Medical Education and Curricular Development, 8. https://doi.org/10.1177/23821205211024078
Yu, Z. (2023). Learning outcomes, motivation, and satisfaction in gamified english vocabulary learning. Sage Open, 13(2). https://doi.org/10.1177/21582440231158332
Zdravkova, K. (2022). The Potential of Artificial Intelligence for Assistive Technology in Education. In: Ivanović, M., Klašnja-Milićević, A., Jain, L.C. (eds) Handbook on Intelligent Techniques in the Educational Process. Learning and Analytics in Intelligent Systems, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-031-04662-9_4
Zdravkova, K., Krasniqi, V., Dalipi, F., & Ferati, M. (2022). Cutting-edge communication and learning assistive technologies for disabled children: an artificial intelligence perspective. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.970430
Žilak, M., Car, Ž., & Jezic, G. (2018). Educational virtual environment based on oculus rift and leap motion devices. Computer Science Research Notes, 2802, 143-151. https://doi.org/10.24132/csrn.2018.2802.18
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