Teaching English Language to Students with Down Syndrome by Using AI Tools in Libya: Case Study Al-Ishraqa School- Hoon
Keywords:
Down’s syndrome, English language, AI tools, teaching, capacityAbstract
Artificial Intelligence (AI) plays a vital role in enhancing English language teaching through innovative methods that promote accessibility and inclusivity. AI-based tools offer a wide range of strategies, techniques, and adaptive resources that can support both teachers and learners by personalizing instruction and facilitating effective communication. In this context, this study emphasizes on the right of students with Down syndrome to learn the English language, given its global significance as a primary means of communication. This study focuses on the role of AI tools in teaching English to students with Down syndrome, particularly during the basic stages of education. It aims to highlight and validate the language learning abilities of these students and to demonstrate that learning English can have a positive and beneficial impact on their educational development rather than a negative one. The study used a descriptive qualitative research method to explore the effect of AI tools in teaching the English language to students with Down syndrome. The questionnaire has used as a tool for gathering data. The results indicate the ability of the students with Down syndrome to learn the English language through visual materials in the classroom. AI tools can play an effective role in this issue. DS students have a strong capacity to manage some jobs in society with successful proficiency. The study recommends the importance of providing a modern educational environment that includes suitable curricula, visual materials, teacher training, and strong encouragement.
References
Abbeduto, et al (2007). Language development in Down syndrome: From the prelinguistic period to the acquisition of literacy. Mental Retardation and Developmental Disabilities Research Reviews,
Al-Azawei, A., Serenelli, F., & Lundqvist, K. (2016). Universal Design for Learning (UDL): A content analysis of peer-reviewed journal papers from 2012 to 2015. Journal of the Scholarship of Teaching and Learning.
Alqahtani, A., & Bhaskar, C. V. (2020), Artificial intelligence applications in special education: A review, Education and Information Technologies, 25(6), 4901–4920.
Bucckley, (1993), Languge development in children with Down syndrome _ reasons for optimism, Publishing house, United Kingdom.
Buckley, (1993) Language to communication for down. Publishing house, English (United Kingdom).
Buckley, (1993). The importance of language, Publishing house, English (United Kingdom).
Buckley, (1993). The links between language and cognition for Down syndrome .Publishing house, English (United Stated).
Buckley, (2002). Can children with down syndrome learn more than one language? Publishing house, United Stated.
Bucklely (2002), Language for learning, Publishing house, United Stated.
Costanzo, et al. (2023). Talkitt: Toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with Down syndrome. Frontiers in Psychology
Drigas, A. S., & Ioannidou, R.-E. (2013). A review on artificial intelligence in special education. Communications in Computer and Information Science, Springer-Verlag Berlin Heidelberg
Elena. A, (2025), Improving language disorders in children with Down syndrome by applying a multimodal intervention program structured in accordance with the Theory of Multiple Intelligences "Ion Creangă" State Pedagogical University, Chișinău.
Garg, S., & Sharma, S. (2020). Impact of artificial intelligence in special need education to promote inclusive pedagogy. International Journal of Information and Education Technology.
Good, J. (2021), “Serving students with special needs better: How digital technology can help”, in OECD Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots, OECD Publishing, Paris.
Guralnick 2017, Early intervention for children with intellectual disabilities, Willy, JARID Journal of Applied Research
Hartwell et al (2025), The Power of Partnership: Adapting Early Language Intervention for Children With Down Syndrome Through ¬Family-Researcher Collaboration
Holmes, et al (2022). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning (Updated ed.). Center for Curriculum Redesign.
Jin Ha Woo, Heeyoul Choi, (2021), Systematic Review for AI-based Language Learning Tools, Arizona State University.
Kumin, L. (2001). Classroom language skills for children with Down syndrome: A guide for parents and teachers. Bethesda, MD: Woodbine House.
Kumin, L, (2001) In the classroom,. Publishing house/ (July 2010) DSAWM Eductor manual.
Kumin, L,( 2003). Communication, Publishing house, London.
Krasniqi, et al (2022). Impact of assistive technologies to inclusive education and independent life of Down syndrome persons: A systematic literature review and research agenda. Sustainability.
Linsenmayer, E. (2025). Leveraging artificial intelligence to support students with special education needs (OECD Artificial Intelligence Papers, No. 46). OECD Publishing.
Neil, N., & Jones, E. A. (2018). Communication intervention for individuals with Down syndrome: A systematic review and meta-analysis. Developmental Neurorehabilitation.
Ok, et al, (2018). Universal Design for Learning in Pre-K to Grade 12 classrooms: A systematic review of research. Exceptionality.
UNESCO. (2023). Global Education Monitoring Report 2023: Technology in education: A tool on whose terms?
White, K., et al, (2023). A feasibility study demonstrating that independence, quality of life, and adaptive behavioral skills can improve in children with Down syndrome after using assistive technology. PLOS ONE
Wiley-Blackwell, (2016). Bilingualism and biliteracy in down syndrome, Publishing house Stated (United).
Rima Subhi Husain Taher. (2025). The Effectiveness of AI-Driven Translation Technologies in Mediating Cultural Understanding: A Case Study of English Language Teaching Practices in Libyan Higher Education. Libyan Journal of Educational Research and E-Learning (LJERE), 1(2), 01-16. https://doi.org/10.65417/ljere.v1i2.8
Abdullah Ahmed Abdullah Al-Masrati, & Zaynab Mahmoud Mohammed Adyaab. (2026). Integrating Artificial Intelligence into University Education: Toward a Strategy for Developing the Digital Learning System in Libyan Educational Institutions An Exploratory Study of a Sample of Education and Psychology Professors at the University of Ben. Libyan Journal of Educational Research and E-Learning (LJERE), 2(2), 48-63. https://doi.org/10.65417/ljere.v2i2.110
Hana Abdel Majid Abdel Sayed. (2026). Perspectives on the Impact of Artificial Intelligence on the Quality of Scientific Research: A Comparative Study between Students and Faculty Members in Library and Information Science Departments. Libyan Journal of Educational Research and E-Learning (LJERE), 2(1), 01-18. https://doi.org/10.65417/ljere.v2i1.58



