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Neurodiversity and Digital Inclusion: Creating the Conditions for Inclusive Education through UDL

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Research Paper
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Session description

This research presentation will share findings from an Australian study exploring how digital technologies can create the conditions for inclusive education through the UDL framework. Drawing on classroom case studies and literature, participants will learn how digital tools supported learning, and design principles that promote equitable participation for neurodivergent learners.

Framework

This research is grounded in the intersecting perspectives of the neurodiversity paradigm, the broader critical disability studies paradigm and the Universal Design for Learning (UDL) framework. It positions neurodivergence as a natural and valuable form of human diversity rather than a deficit, drawing on the social model of disability to challenge exclusionary practices. The study applies UDL’s principles of engagement, representation, and action and expression as both analytical and practical tools for understanding how digital technologies can foster inclusion.

The framework is informed by strengths-based and participatory approaches, embedding the lived experiences of neurodivergent researchers, teachers, and students as central to knowledge creation. The team’s neurodiverse composition reflects this epistemological stance, combining critical disability studies, inclusive education theory, and design thinking methodologies to explore how learning environments can be co-created with, rather than for, neurodivergent learners. This perspective enables a shift from intervention-focused models to research that emphasises agency, collaboration, and belonging through technology-enabled inclusive education.

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Methods

This research used a two-phase, mixed-methods design combining a rapid literature review with qualitative case studies across six Australian schools. The first phase involved a rapid review of studies published in the last decade, synthesising global evidence on how neurodivergent students use technology in inclusive classrooms. The rapid literature review employed a mixed-methods approach incorporating both qualitative and quantitative analyses. The researchers conducted a thematic analysis guided by Braun and Clarke’s framework to identify recurring patterns and trends in how digital technologies support neurodivergent learners. Complementing this, chi-squared statistical tests were performed to examine proportional representation of neurotypes across identified subthemes, ensuring a balanced understanding of how different technologies aligned with inclusive educational practices.

The second phase involved classroom-based case studies to capture lived experiences from teachers, students, and school leaders. Participants were recruited from Foundation to Year 10 classes representing diverse school settings. Data were collected through classroom observations, small group interviews with students (both neurodivergent and neurotypical), and interviews with teachers and school leaders. Observations documented how technology was used to support academic and social participation, while interviews explored participants’ perceptions of inclusion and the barriers or enablers presented by digital tools.

Data were qualitatively coded and analysed through the UDL framework, specifically the principles of engagement, representation, and action and expression, to identify design patterns and pedagogical strategies that support inclusive technology use.

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Results

The research identified clear patterns in how digital technologies can enable or inhibit inclusion for neurodivergent learners. Results showed that technology is most effective when used to promote engagement, flexibility, and collaboration, rather than compliance or behaviour management. When teachers aligned technology use with the Universal Design for Learning (UDL) principles of engagement, representation, and action and expression, students demonstrated increased confidence, participation, and agency in learning activities.

Case study data highlighted that neurodivergent students benefit from tools that scaffold executive functioning, support communication, and provide multiple ways to demonstrate understanding. Teachers reported that structured digital routines and visual supports reduced anxiety and improved self-regulation for many students. Conversely, inconsistent implementation and inaccessible design features often reinforced exclusion.

The research culminated in 36 high-impact recommendations to guide educators in leveraging technology for inclusive practice. These include designing technology-enhanced learning experiences that integrate physical and digital tools, prioritise student voice, and create psychologically safe classrooms. Future phases of this research will evaluate these recommendations at scale, with the expectation that they will inform systemic policy and professional learning models for equitable digital education.

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Importance

The study holds substantial educational and scientific importance because it addresses a critical and underexplored area in inclusive education: how digital technologies can be positioned to create neurodiversity-affirming learning environments guided by the Universal Design for Learning (UDL) framework. The research provides empirical evidence on the real-world practices of teachers, students, and school leaders in utilising technology to foster equitable participation and engagement for neurodivergent learners. By integrating the principles of UDL with insights from critical disability studies, the project reframes technology not as a tool for remediation or compliance but as a means to enhance learner agency, autonomy, and representation in inclusive classrooms.

The study is valuable to conference audiences because it bridges theoretical, practical, and policy perspectives, offering educators, researchers, and technology designers actionable strategies for fostering inclusive learning environments. The findings expand current understandings of how inclusive digital practices can be designed and implemented in ways that affirm neurodiversity and centre student voice. Furthermore, the research contributes to a growing body of evidence advocating for systemic transformation in how schools, education systems, and edtech companies conceptualise inclusion. By demonstrating how co-designed digital solutions can promote access, participation, and belonging for all learners, this study provides a replicable model for advancing equity through evidence-based, research-informed innovation in education.

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References

Abdelnour, E., Jansen, M. O., & Gold, J. A. (2022). ADHD diagnostic trends: Increased recognition or overdiagnosis. Missouri Medicine, 119(5), 467–473.

Almutlaq, H., & Martella, R. C. (2018). Teaching elementary-aged students with autism spectrum disorder to give compliments using a social story delivered through an iPad application. International Journal of Special Education, 33(2), 482–492. https://eric.ed.gov/?id=EJ1185588

Antoninis, M., April, D., Barakat, B., Bella, N., D’Addio, A. C., Eck, M., ... & Zekrya, L. (2020). All means all: An introduction to the 2020 Global Education Monitoring Report on inclusion. Prospects, 49, 103-109.

American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders, 5(5). https://doi.org/10.1176/appi.books.9780890425596

Asperger, H. (1991). “Autistic psychopathy” in childhood. Autism and Asperger Syndrome, 37–92. https://doi.org/10.1017/cbo9780511526770.002

Baggetta, P., & Alexander, P. A. (2016). Conceptualization and operationalization of executive function. Mind, Brain, and Education, 10(1), 10–33. https://doi.org/10.1111/mbe.12100

Balt, M., Fritz, A., & Ehlert, A. (2020). Insights into first grade students’ development of conceptual numerical understanding as drawn from progression-based assessments. Frontiers in Education, 5(80). https://doi.org/10.3389/feduc.2020.00080

Berninger, V. W., & O’Malley May, M. (2011). Evidence-based diagnosis and treatment for specific learning disabilities involving impairments in written and/or oral language. Journal of Learning Disabilities, 44(2), 167–183. https://doi.org/10.1177/0022219410391189

Berton, R., Kolasinska, A., Gaggi, O., Palazzi, C., & Quadrio, G. (2020). A Chrome extension to help people with dyslexia. Proceedings of the International Conference on Advanced Visual Interfaces. http://dx.doi.org/10.1145/3399715.3399843

Bettelheim, B. (1967). The empty fortress: Infantile autism and the birth of the self. Free Press.

Cardon, T., Wangsgard, N., & Dobson, N. (2019). Video modeling using classroom peers as models to increase social communication skills in children with ASD in an integrated preschool. Education and Treatment of Children, 42(4), 515–536. https://doi.org/10.1353/etc.2019.0024

CAST. (2024a, November 29). About Universal Design for Learning. https://www.cast.org/impact/universal-design-for-learning-udl

CAST. (2024b, November 29). The UDL Guidelines. https://udlguidelines.cast.org/

CAST. (2024c, November 29). The UDL Guidelines: Representation. https://udlguidelines.cast.org/representation/

CAST. (2024d, November 30). The goal of UDL: Learner agency. https://udlguidelines.cast.org/more/udl-goal/

Chapman, R., & Bovell, V. (2022). Neurodiversity, advocacy, anti-therapy. In Handbook of autism and pervasive developmental disorder: Assessment, diagnosis, and treatment (pp. 1519-1536). Cham: Springer International Publishing.

Chapman, L., Rose, K., Hull, L., & Mandy, W. (2022). “I want to fit in… but I don’t want to change myself fundamentally”: A qualitative exploration of the relationship between masking and mental health for autistic teenagers. Research in Autism Spectrum Disorders, 99(99), 102069. https://doi.org/10.1016/j.rasd.2022.102069

Cheang, R., Skjevling, M., Blakemore, A., Kumari, V., & Puzzo, I. (2024). Do you feel me? Autism, empathic accuracy and the double empathy problem. Autism. https://doi.org/10.1177/13623613241252320

Chow, C., & Cooper, K. (2024). What are the lived experiences of strengths in autistic individuals? A systematic review and thematic synthesis. Autism in Adulthood. https://doi.org/10.1089/aut.2023.0172

Courtney Leigh Miller, Jelinkova, K., Charabin, E. C., & Climie, E. A. (2024). Parent and child-reported strengths of children with ADHD. Canadian Journal of School Psychology, 39(1). https://doi.org/10.1177/08295735231225261

Chung, P. J., Patel, D. R., & Nizami, I. (2020). Disorder of written expression and dysgraphia: definition, diagnosis, and management. Translational Pediatrics, 9(S1), S46–S54. https://doi.org/10.21037/tp.2019.11.01

Cibrian, F., Lakes, K. Tavakoulnia, A., Guzman, K., Schuck S., & Hayes, G. (2020). Supporting self-regulation of children with ADHD using wearables. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. http://dx.doi.org/10.1145/3313831.3376837

Cook, A., & Ogden, J. (2021). Challenges, strategies and self-efficacy of teachers supporting autistic pupils in contrasting school settings: a qualitative study. European Journal of Special Needs Education, 37(3), 371–385. https://doi.org/10.1080/08856257.2021.1878659

Crompton, C. J., Hallett, S., Ropar, D., Flynn, E., & Fletcher-Watson, S. (2020). “I never realised everybody felt as happy as I do when I am around autistic people”: A thematic analysis of autistic adults’ relationships with autistic and neurotypical friends and family. Autism, 24(6), 136236132090897. https://doi.org/10.1177/1362361320908976

Dickinson, K., & Place, M. (2016). The impact of a computer-based activity program on the social functioning of children with Autistic Spectrum Disorder. Games for Health Journal, 5(3), 209–215. https://doi.org/10.1089/g4h.2015.0063

Doan, M., Cibrian, F., Jang, A., Khare, N., Chang, S., Li, A., Schuck, S., Lakes, K., and Hayes, G. (2020). CoolCraig: A smart watch/phone application supporting co-regulation of children with ADHD. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. http://dx.doi.org/10.1145/3334480.3382991

Doikou-Avlidou, M. (2015). The educational, social and emotional experiences of students with dyslexia: The perspective of postsecondary education students. International Journal of Special Education, 30(1), 132–145. https://eric.ed.gov/?id=EJ1094794

Doyle, N. (2020). Neurodiversity at work: a biopsychosocial model and the impact on working adults. British Medical Bulletin, 135(1), 108–125. https://doi.org/10.1093/bmb/ldaa021

Dueñas, A. D., Plavnick, J. B., & Bak, M. Y. S. (2018). Effects of joint video modeling on unscripted play behavior of children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 49(1), 236–247. https://doi.org/10.1007/s10803-018-3719-2

Dvorsky, M. R., Langberg, J. M., Evans, S. W., & Becker, S. P. (2016). The protective effects of social factors on the academic functioning of adolescents with ADHD. Journal of Clinical Child & Adolescent Psychology, 47(5), 713–726. https://doi.org/10.1080/15374416.2016.1138406

Erfurt, G., Hornecker, E., Ehlers, J. & Plasckies, S. (2019). Hands-On Math. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. http://dx.doi.org/10.1145/3290607.3313012.

Espina, E., Marbán, J. M., & Sáez, A. M. (2022). A retrospective look at the research on dyscalculia from a bibliometric approach. Revista de Educación, 396, 201-229. https://doi.org/10.4438/1988-592X-RE-2022-396-535

Fachantidis, N., Syriopoulou-Delli, C. K., Vezyrtzis, I., & Zygopoulou, M. (2019). Beneficial effects of robot-mediated class activities on a child with ASD and his typical classmates. International Journal of Developmental Disabilities, 66(3), 245–253. https://doi.org/10.1080/20473869.2019.1565725

Farghaly, W. M., El Tallawy, S. H., Ramadan, A. S., Abdelrasol, R. B., Omar, M. S., Eltallawy, H. N., & Mohamed, K. O. (2022). Training second-grade dyslexic students using a computerized program in Asyut, Egypt. The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 58(1). https://doi.org/10.1186/s41983-022-00480-y

Feder, K., Majnemer, A., & Synnes, A. (2000). Handwriting: Current trends in occupational therapy practice. Canadian Journal of Occupational Therapy, 67(3), 197–204. https://doi.org/10.1177/000841740006700313

Graber, A., & Graber, J. (2023). Applied behavior analysis and the abolitionist neurodiversity critique: An ethical analysis. Behavior Analysis in Practice, 16(4), 921-937.
Griffin, P. (2017). Assessment for teaching (2nd ed.). Cambridge University.

Griffin, P. & Woods, K. (Eds.) (2020). Understanding Students with Additional Needs as Learners. Springer. https://doi.org/10.1007/978-3-030-56596-1

González-Castro, P., Cueli, M., Areces, D., Rodríguez, C., & Sideridis, G. (2016). Improvement of word problem solving and basic mathematics competencies in students with attention deficit/hyperactivity disorder and mathematical learning difficulties. Learning Disabilities Research & Practice, 31(3), 142–155. https://doi.org/10.1111/ldrp.12106

Harris, E. (2023). Autism prevalence has been on the rise in the US for decades—and that’s progress. JAMA Medical News, 329(20), 1724–1724. https://doi.org/10.1001/jama.2023.6078

Haberstroh, S., & Schulte-Körne, G. (2019). The diagnosis and treatment of dyscalculia. Deutsches Aerzteblatt Online, 116(7), 107–114. https://doi.org/10.3238/arztebl.2019.0107

Habib, M. (2000). The neurological basis of developmental dyslexia: An overview and working hypothesis. Brain, 123(12), 2373–2399. https://doi.org/10.1093/brain/123.12.2373

Hamilton, L. G. (2024). Emotionally based school avoidance in the aftermath of the COVID-19 pandemic: Neurodiversity, agency and belonging in school. Education Sciences, 14(2), 156. https://doi.org/10.3390/educsci14020156

Hanghøj, T., Lieberoth, A., & Misfeldt, M. (2018). Can cooperative video games encourage social and motivational inclusion of at-risk students? British Journal of Educational Technology, 49(4), 775–799. https://doi.org/10.1111/bjet.12642

Heidegger, M. (1977). The question concerning technology, and other essays. Harper & Row.

Hu, X., & Han, Z. R. (2019). Effects of gesture-based match-to-sample instruction via virtual reality technology for Chinese students with autism spectrum disorders. International Journal of Developmental Disabilities, 65(5), 327–336. https://doi.org/10.1080/20473869.2019.1602350

Hughes-Roberts, T., Brown, D. J., Burton, A., Shopland, N., Tinney, J., & Boulton, H. (2023). Digital game making and game templates promotes learner engagement in non-computing based classroom teaching. Technology, Knowledge, and Learning. https://doi.org/10.1007/s10758-023-09654-w

Huntington, R. N., Badgett, N. M., Rosenberg, N. E., Greeny, K., Bravo, A., Bristol, R. M., Byun, Y. H., & Park, M. S. (2022). Social validity in behavioral research: A selective review. Perspectives on Behavior Science, 46(1). https://doi.org/10.1007/s40614-022-00364-9

Isaac, V., Vladimir López, & María Josefina Escobar. (2024). Arousal dysregulation and executive dysfunction in attention deficit hyperactivity disorder (ADHD). Frontiers in Psychiatry, 14. https://doi.org/10.3389/fpsyt.2023.1336040

Kim, G. Y., Zimmerman, K. N., Cheatham, G. A., & Smith, K. (2023). Visual cues using mobile technology to support in-class transition for all children. Young Exceptional Children, 27(1), 42-54. https://doi.org/10.1177/10962506231195900

Kirby, P. (2020). Dyslexia debated, then and now: a historical perspective on the dyslexia debate. Oxford Review of Education, 46(4), 472–486. https://doi.org/10.1080/03054985.2020.1747418

Kirkham, P. (2017). ‘The line between intervention and abuse’–autism and applied behaviour analysis. History of the human sciences, 30(2), 107-126.

Knight, V. F., Kuntz, E. M., & Brown, M. (2018). Paraprofessional-delivered video prompting to teach academics to students with severe disabilities in inclusive settings. Journal of Autism and Developmental Disorders, 48(6), 2203–2216. https://doi.org/10.1007/s10803-018-3476-2

Kosc, L. (1974). Developmental Dyscalculia. Journal of Learning Disabilities, 7(3), 164- 177. https://doi.org/10.1177/002221947400700309

Kucian, K., & von Aster, M. (2014). Developmental dyscalculia. European Journal of Pediatrics, 174(1), 1–13. https://doi.org/10.1007/s00431-014-2455-7

Kussmaul, A. (1877). Chapter XXVII. In von Ziemssen H. (Ed.), Cyclopaedia of the practice of medicine: Vol. XIV: Diseases of the nervous system and disturbances of speech (pp. 770–778). William Wood.

Ledbetter-Cho, K., O’Reilly, M., Watkins, L., Lang, R., Lim, N., Davenport, K., & Murphy, C. (2020). The effects of a teacher-implemented video-enhanced activity schedule intervention on the mathematical skills and collateral behaviors of students with autism. Journal of Autism and Developmental Disorders, 53, 553-568. https://doi.org/10.1007/s10803-020-04495-3

Lei, J., Leigh, E., Charman, T., Russell, A., & Hollocks, M. J. (2023). Understanding the relationship between social camouflaging in autism and safety behaviours in social anxiety in autistic and non‐autistic adolescents. Journal of Child Psychology and Psychiatry, 65(3). https://doi.org/10.1111/jcpp.13884

Lewis, K. E., & Fisher, M. B. (2016). Taking Stock of 40 Years of Research on Mathematical Learning Disability: Methodological Issues and Future Directions. Journal for Research in Mathematics Education, 47(4), 338–371. https://doi.org/10.5951/jresematheduc.47.4.0338

Lewis, R., Graves, A., Ashton, T., & Kieley, C. (1998). Word processing tools for students with learning disabilities. Learning Disabilities Research & Practice, 13, 95–108.

Liddle, R. (2014, March 15). Dyslexia is meaningless. But don’t worry – So is ADHD. Spectator. https://www.spectator.co.uk/article/dyslexia-is-meaningless-but-don-t-worry-so-is-adhd/

Lubniewski, K. L., & McArthur, C. L. (2018). Evaluating instructional apps using the App Checklist for Educators (ACE). International Electronic Journal of Elementary Education, 10(3), 323–329. https://doi.org/10.26822/iejee.2018336190

London, A. S., & Landes, S. D. (2019). Cohort Change in the Prevalence of ADHD Among U.S. Adults: Evidence of a Gender-Specific Historical Period Effect. Journal of Attention Disorders, 25(6), 771–782. https://doi.org/10.1177/1087054719855689

Mandak, K., Light, J., & McNaughton, D. (2018). Digital books with dynamic text and speech output: Effects on sight word reading for preschoolers with autism spectrum disorder. Journal of Autism and Developmental Disorders, 49(3), 1193–1204. https://doi.org/10.1007/s10803-018-3817-1

Meilleur, A.-A. S., Jelenic, P., & Mottron, L. (2014). Prevalence of clinically and empirically defined talents and strengths in autism. Journal of Autism and Developmental Disorders, 45(5), 1354–1367. https://doi.org/10.1007/s10803-014-2296-2

Milton, D. E. M., Heasman, B., & Sheppard, E. (2020). Double Empathy. Encyclopedia of Autism Spectrum Disorders, 1–9. https://doi.org/10.1007/978-1-4614-6435-8_102273-2

Mirfin-Veitch, B., Jalota, N., & Schmidt, L. (2020). Responding to neurodiversity in the education context: An integrative literature review [Report]. Donald Beasley Institute, 56.

Munzer, T., Hussain, K., & Soares, N. (2020). Dyslexia: neurobiology, clinical features, evaluation and management. Translational Pediatrics, 9(S1), S36–S45. https://doi.org/10.21037/tp.2019.09.07

Nally, A., Holloway, J., Lydon, H., & Healy, O. (2020). The Edmark® Reading Program: A comparison of computerized and table top presentation in reading outcomes in students with autism spectrum disorder. Journal of Developmental and Physical Disabilities, 33(2), 259–278. https://doi.org/10.1007/s10882-020-09747-9

Ntalindwa, T., Nduwingoma, M., Uworwabayeho, A., Nyirahabimana, P., Karangwa, E. K., Rashid Soron, T., Westin, T., Kharunanthe, T., & Kharunanthe, T. (2021). Adopting the use of digital content to improve the learning of numeracy among children with autism spectrum disorders in Rwanda: A thematic content analysis study (Preprint). JMIR Serious Games. https://doi.org/10.2196/28276

Orton, S. T. (1955). Introduction excerpts from reading, writing and speech problems in children. Bulletin of the Orton Society, 5(1), 10–11. https://doi.org/10.1007/bf02657575

Ozdowska, A., Wyeth, P., Carrington, S., & Ashburner, J. (2021). Using assistive technology with SRSD to support students on the autism spectrum with persuasive writing. British Journal of Educational Technology, 52(2), 934–959. https://doi.org/10.1111/bjet.13063

Pérez-López, D., Cascales-Martínez, A., Martínez-Segura, M.-J., & Contero, M. (2016). Using an augmented reality enhanced tabletop system to promote learning of mathematics: A case study with students with special educational needs. EURASIA Journal of Mathematics, Science and Technology Education, 13(2), 355-380. https://doi.org/10.12973/eurasia.2017.00621a
Reading Well. (2014, May 5). In defence of dyslexia. https://www.dyslexia-reading-well.com/the-dyslexia-debate.html

Reeve, R. A. (2019). Mathematical learning and its difficulties in Australia. In A. Fritz, V. G. Haase, & P. Räsänen (Eds.), International Handbook of Mathematical Learning Difficulties. (pp. 253-264). Springer. https://doi.org/10.1007/978-3-319-97148-3_16

Reeve, R. A., & Waldecker, C. (2017). Evidence-based assessment and intervention for dyscalculia and maths disabilities in school psychology. In M. Thielking & M. D. Terjesen (Eds.), Handbook of Australian School Psychology (pp. 197–213). Springer International. https://doi.org/10.1007/978-3-319-45166-4_10

Rosen, N. E., Lord, C., & Volkmar, F. R. (2021). The diagnosis of autism: From Kanner to DSM-III to DSM-5 and beyond. Journal of Autism and Developmental Disorders, 51(12), 4253–4270. https://doi.org/10.1007/s10803-021-04904-1

Sartini, E. C., Knight, V., Spriggs, A. D., & Allday, R. A. (2020). Effects of systematic instruction and self-directed video prompting on text comprehension of elementary students with autism spectrum disorder. Research in Autism Spectrum Disorders, 72, 101529. https://doi.org/10.1016/j.rasd.2020.101529

Schippers, L. M., Greven, C. U., & Hoogman, M. (2024). Associations between ADHD traits and self-reported strengths in the general population. Comprehensive Psychiatry, 130(1), 152461. https://doi.org/10.1016/j.comppsych.2024.152461

Sedgwick, J. A., Merwood, A., & Asherson, P. (2018). The positive aspects of attention deficit hyperactivity disorder: A qualitative investigation of successful adults with ADHD. ADHD Attention Deficit and Hyperactivity Disorders, 11, 241–253. https://doi.org/10.1007/s12402-018-0277-6

Sewell, A. (2022). Understanding and supporting learners with specific learning difficulties from a neurodiversity perspective: A narrative synthesis. British Journal of Special Education, 49(4). https://doi.org/10.1111/1467-8578.12422

Sikirica, V., Flood, E., Dietrich, C. N., Quintero, J., Harpin, V., Hodgkins, P., Skrodzki, K., Beusterien, K., & Erder, M. H. (2014). Unmet needs associated with attention-deficit/hyperactivity disorder in eight European countries as reported by caregivers and adolescents: Results from qualitative research. The Patient - Patient-Centered Outcomes Research, 8(3), 269–281. https://doi.org/10.1007/s40271-014-0083-y

Slee, R., & Tait, G. (2022). What Is Inclusive Education and Why All the Fuss?. In Ethics and Inclusive Education: Disability, Schooling and Justice (pp. 1-20). Cham: Springer International Publishing.

Sprenger-Charolles, L., Siegel, L. S., Jiménez, J. E., & Ziegler, J. C. (2011). Prevalence and reliability of phonological, surface, and mixed profiles in dyslexia: A review of studies conducted in languages varying in orthographic depth. Scientific Studies of Reading, 15(6), 498–521. https://doi.org/10.1080/10888438.2010.524463

Sproston, K., Sedgewick, F., & Crane, L. (2017). Autistic girls and school exclusion: Perspectives of students and their parents. Autism & Developmental Language Impairments, 2(2), 239694151770617. https://doi.org/10.1177/2396941517706172

Strickland, J., Woods, K., & Pavlovic, M. (2020). Assessing and understanding early numeracy for students with additional needs. In P. Griffin & K. Woods (Eds.) Understanding Students with Additional Needs as Learners. Springer. https://doi.org/10.1007/978-3-030-56596-1_9

Suero Montero, C., Kämäräinen, A., Kilpiä, A., Dindar, K., Pihlainen, K., & Kärnä, E. (2023). Research design in inclusive learning environments for and with children on the autism spectrum – Towards multimodal data collection. Turkish Online Journal of Educational Technology, 22, 42-59.

Sun, X., Allison, C., Matthews, F. E., Sharp, S. J., Auyeung, B., Baron-Cohen, S., & Brayne, C. (2013). Prevalence of autism in mainland China, Hong Kong and Taiwan: a systematic review and meta-analysis. Molecular Autism, 4(1), 7. https://doi.org/10.1186/2040-2392-4-7

Taylor, H., & Vestergaard, M. D. (2022). Developmental dyslexia: Disorder or specialization in exploration? Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.889245

Taylor, W. (2016, November 4). Hidden talents masked by a learning disability. Learning Essentials. https://learningessentialsedu.com/hidden-talents-masked-by-a-learning-disability/

Tan, P., & Alant, E. (2016). Using peer-mediated instruction to support communication involving a student with autism during mathematics activities: A case study. Assistive Technology, 30(1), 9–15. https://doi.org/10.1080/10400435.2016.1223209

Therrien, M. C. S., & Light, J. C. (2018). Promoting peer interaction for preschool children with complex communication needs and autism spectrum disorder. American Journal of Speech-Language Pathology, 27(1), 207–221. https://doi.org/10.1044/2017_ajslp-17-0104

Thiemann-Bourque, K., Feldmiller, S., Hoffman, L., & Johner, S. (2018). Incorporating a peer-mediated approach into speech-generating device intervention: Effects on communication of preschoolers with autism spectrum disorder. Journal of Speech, Language, and Hearing Research, 61(8), 2045–2061. https://doi.org/10.1044/2018_jslhr-l-17-0424

United Nations Convention on the Rights of Persons with Disabilities, December 13, 2006. https://www.ohchr.org/en/instruments-mechanisms/instruments/convention-rights-persons-disabilities

University of Oxford. (n.d.). Dyscalculia. Equality and Diversity Unit. https://edu.admin.ox.ac.uk/dyscalculia

Vogelgesang, K. L., Bruhn, A. L., Coghill-Behrends, W. L., Kern, A. M., & Troughton, L. C. W. (2016). A single-subject study of a technology-based self-monitoring intervention. Journal of Behavioral Education, 25(4), 478–497. https://doi.org/10.1007/s10864-016-9253-4

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes (M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds.). Harvard University.

Wilson, W. J., Harper-Hill, K., Armstrong, R., Downing, C., Perrykkad, K., Rafter, M., & Ashburner, J. (2021). A preliminary investigation of sound-field amplification as an inclusive classroom adjustment for children with and without autism spectrum disorder. Journal of Communication Disorders, 93, 106142. https://doi.org/10.1016/j.jcomdis.2021.106142

White, E. H. (2019). Strategies for teaching digital literacy to students with multiple disabilities including vision impairment (MDVI): Combining evidence with expertise. Journal of the South Pacific Educators in Vision Impairment, 12(1). 14-48. https://www.spevi.net/wp-content/uploads/2015/07/JSPEVI-Vol-12-2019.pdf

White, E. H. & Harrison, M. (2024). Technology for inclusion. In A. Ashman & S. Poed (Eds.) Education for Inclusion and Diversity (7th ed., pp. 157-190). Pearson.

White, E. H., Pavlovic, M., & Poed, S. (2020). Understanding and mapping digital literacy for students with disability. In P. Griffin & K. Woods (Eds.) Understanding Students with Additional Needs as Learners. Springer. https://doi.org/10.1007/978-3-030-56596-1_10

White, E. H. (August 16-20, 2021). Applying empirical learning progressions for a holistic approach to evidence-based education: SWANS/ABLES. Research Conference 2021: Excellent progress for every student: Proceedings and program. Australian Council for Educational Research. https://doi.org/10.37517/978-1-74286-638-3_6

Wissell, S., Karimi, L., Serry, T., Furlong, L., & Hudson, J. (2022). “You don’t look dyslexic”: Using the job demands—resource model of burnout to explore employment experiences of Australian adults with dyslexia. International Journal of Environmental Research and Public Health, 19(17), 10719. https://doi.org/10.3390/ijerph191710719

Wood, R., Crane, L., Happé, F., Morrison, A., & Moyse, R. (Eds.). (2022). Learning from autistic teachers: How to be a neurodiversity-inclusive school. Jessica Kingsley Publishers.

Young, A., Clendon, S., & Doell, E. (2021). Exploring augmentative and alternative communication use through collaborative planning and peer modelling: a descriptive case-study. International Journal of Inclusive Education, 1–16. https://doi.org/10.1080/13603116.2020.1867383

Zhou, Q. (2022). How does dyslexia influence academic achievement? Proceedings of the 2022 2nd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2022), 861–868. https://doi.org/10.2991/978-2-494069-45-9_104

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Presenters

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Associate Professor (Learning Intervention)
The University of Melbourne
Co-author: Jess Rowlings

Session specifications

Topic:

Universal Design For Learning

Grade level:

PK-12

Audience:

District-Level Leadership, Teacher Development, Teacher

Attendee devices:

Devices useful

Attendee device specification:

Smartphone: Android, iOS, Windows
Tablet: Android, iOS, Windows

Subject area:

Special Education

ISTE Standards:

For Educators: Leader, Designer

Transformational Learning Principles:

Ensure Opportunity, Ignite Agency

Influencer Disclosure:

This session includes a presenter that indicated a “material connection” to a brand that includes a personal, family or employment relationship, or a financial relationship. See individual speaker menu for disclosure information.