Neurodiversity in Computing Education Research: A Systematic Literature Review
Open accessAbstract
Ensuring equitable access to computing education for all students---including those with autism, dyslexia, or ADHD---is essential to developing a diverse and inclusive workforce. To understand the state of disability research in computing education, we conducted a systematic literature review of research on neurodiversity in computing education. Our search resulted in 1,943 total papers, which we filtered to 14 papers based on our inclusion criteria. Our mixed-methods approach analyzed research methods, participants, contribution types, and findings. The three main contribution types included empirical contributions based on user studies (57.1%), opinion contributions and position papers (50%), and survey contributions (21.4%). Interviews were the most common methodology (75% of empirical contributions). There were often inconsistencies in how research methods were described (e.g., number of participants and interview and survey materials). Our work shows that research on neurodivergence in computing education is still very preliminary. Most papers provided curricular recommendations that lacked empirical evidence to support those recommendations. Three areas of future work include investigating the impacts of active learning, increasing awareness and knowledge about neurodiverse students' experiences, and engaging neurodivergent students in the design of pedagogical materials and computing education research.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The perspectives and needs of neurodivergent people receive less sustained attention in discourse and practice than physical disabilities and technical standards.
“Discourse and practice often focus on physical disabilities and compliance with technical standards, while the perspectives and needs of neurodivergent people receive less sustained attention [1, 28, 40].”
From Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education (2025) · cites this paper as [40]
The Discussion (§4) says computing education researchers still lack a thorough understanding of neurodivergent students’ experiences, and Moving Forward (§4.3) says students’ voices are rarely included in designing interventions. The paper does not establish the claimed comparison with attention to physical disabilities or compliance with technical standards. (LLM, conf=0.86)
Experimental — accuracy not yet measuredMany digital systems and learning environments remain tuned to neurotypical norms due to limited adaptation in technical and educational systems.
“Many digital systems and learning environments remain tuned to neurotypical norms, not because of neurodivergence per se but due to limited adaptation in technical and educational systems [4, 36, 40].”
From Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education (2025) · cites this paper as [40]
Section 4.1 (page not provided) describes barriers in computing course materials and active-learning environments, while section 4.3 says educational interventions are often designed without sufficient input from neurodivergent students. These passages support the point about limited adaptation in education, but the review does not establish that many digital systems generally are tuned to neurotypical norms or that limited adaptation, rather than neurodivergence itself, is the cause across technical and educational systems. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTrue participatory co-creation is still rarely realized in practice; many institutional initiatives remain reactive or evaluative rather than proactively co-creative.
“However, as Baillargeon et al. [1] and Borsotti et al. [4] note, true participatory co-creation—consistent with the disability-rights principle 'Nothing about us without us' [5], is still rarely realized in practice; many institutional initiatives remain reactive or evaluative rather than proactively co-creative [3, 27, 40].”
From Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education (2025) · cites this paper as [40]
Section 4.3 says only one of the 14 studies reviewed used participatory design and that educational interventions are often designed without sufficient input from neurodivergent students. This supports the claim that co-creation is rare in the computing-education research reviewed, but it does not characterize institutional initiatives generally as reactive or evaluative. (LLM, conf=0.86)
Experimental — accuracy not yet measuredTechnology disciplines are still rarely tailored to the learning needs of neurodivergent students, reflected in higher dropout rates, reduced self-efficacy, and frequent invisible access labor.
“Empirical studies confirm that technology disciplines are still rarely tailored to the learning needs of neurodivergent students, which is reflected in higher dropout rates, reduced self-efficacy, and frequent invisible access labor to secure participation [6, 17, 36, 40].”
From Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education (2025) · cites this paper as [40]
Sections 3.2.2 and 4.1 describe barriers for neurodivergent computing students and recommend more inclusive curricula; section 4.2 identifies inadequate institutional support and warns against placing additional burdens on students. The review does not establish that technology disciplines are rarely tailored to these students, or report higher dropout rates, reduced self-efficacy, or the frequency of invisible access labor (pages unavailable in our copy). (LLM, conf=0.86)
Experimental — accuracy not yet measuredIn much existing provision, neurodivergent students are positioned primarily as recipients of accommodations instead of equal partners in shaping technology and pedagogy.
“In much existing provision, neurodivergent students are positioned primarily as recipients of accommodations instead of equal partners in shaping technology and pedagogy [1, 16, 40].”
From Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education (2025) · cites this paper as [40]
Section 4.3 says only one reviewed study used participatory design and that educational solutions are often designed without sufficient input from neurodivergent students. Section 3.2.2 describes recommendations for resources, assignments, and assessments to support them. This supports the contrast between receiving support and shaping pedagogy, but the paper does not establish the same pattern specifically for technology design or for existing provision generally. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Proactive, predictable structures benefit all learners.
“The choice of modality was a context-specific design decision, not a general claim about autistic communication preferences; the broader point is to provide proactive, predictable structures that benefit all learners [17, 40].”
From Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education (2025) · cites this paper as [40]
Section 4.1 (page not provided) says autistic students often benefit from predictable, well-structured environments, and §3.2.2 recommends explicit instructions and routines. Section 3.2.2 says Universal Design for Learning may benefit all students, but it does not specifically establish that predictable structures benefit all learners. (LLM, conf=0.85)
Experimental — accuracy not yet measuredSystematic studies that explicitly integrate the voices and perspectives of neurodivergent people and multi-perspective evaluations are still rare.
“Despite these positive findings, important research gaps remain: systematic studies that explicitly integrate the voices and perspectives of neurodivergent people and multi-perspective evaluations are still rare [1, 6, 26, 40].”
From Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education (2025) · cites this paper as [40]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Van Hees, V., Moyson, T., & Roeyers, H. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2324-2 · Cited by 387 · see citing works
Neurodiversity in higher education: a narrative synthesis
Clouder, L., Karakus, M., Cinotti, A., Ferreyra, M. V., Fierros, G. A., & Rojo, P. (2020) · Higher Education · doi:10.1007/s10734-020-00513-6 · Cited by 385 · cited 2× · see citing works
“Researchers and practitioners in CE can leverage this prior work to develop better awareness of students’ access needs and support systems which do not place additional burden the students they are attempting to serve [12, 20].”
A Systematic Analysis of Accessibility in Computing Education Research
Baker, C. M., El-Glaly, Y. N., & Shinohara, K. (2020) · Proceedings of the 51st ACM Technical Symposium on Computer Science Education · doi:10.1145/3328778.3366843 · Cited by 93 · see citing works
Access Differential and Inequitable Access: Inaccessibility for Doctoral Students in Computing
Shinohara, K., McQuaid, M., & Jacobo, N. (2020) · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3373625.3416989 · Cited by 37 · see citing works
From Awareness to Action: Teaching Software Accessibility for Neurodiverse Users
Kletenik, D., Minkowitz, R., Peric, A., Sahin, M., & Adler, R. F. (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 · doi:10.1145/3626252.3630859 · Cited by 9 · see citing works
Haynes-Magyar, C. (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 · doi:10.1145/3626252.3630898 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 47
- Mikko Apiola, Sonsoles López-Pernas, and Mohammed Saqr. 2023. Past, Present and Future of Computing Education Research: A Global Perspective. Springer Nature.
- Alfredo J Artiles. 2013. Untangling the racialization of disabilities: An intersec- tionality critique across disability models. Du Bois Review: Social Science Research on Race (2013).
- Karina Assiter. 2018. Experiences teaching a social and ethical aspects of computer science course to students with learning differences. Journal of Computing Sciences in Colleges 34, 2 (2018).
- Andrew Begel, James Dominic, Conner Phillis, Thomas Beeson, and Paige Rodeghero. 2021. How a Remote Video Game Coding Camp Improved Autistic College Students' Self-Efficacy in Communication. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education.
- Brianna Blaser, Richard E. Ladner, Bryan Twarek, Andreas Stefik, and Hannah Stabler. 2024. Accessibility and Disability in PreK-12 CS: Results from a Landscape Survey of Teachers. In Proceedings of the 2024 on RESPECT Annual Conference.
- Valeria Borsotti, Andrew Begel, and Pernille Bjørn. 2024. Neurodiversity and the Accessible University: Exploring Organizational Barriers, Access Labor and Opportunities for Change. Proc. ACM Hum.-Comput. Interact. 8, CSCW1 (2024).
- James I Charlton. 1998. Nothing about us without us: Disability oppression and empowerment. Univ of California Press.
- Darnell Cole and Araceli Espinoza. 2008. Examining the academic success of Latino students in science technology engineering and mathematics (STEM) majors. Journal of College Student Development 49, 4 (2008).
- Mark Dixon. 2007. Comparative study of disabled vs. non-disabled evaluators in user-testing: dyslexia and first year students learning computer programming. In Universal Acess in Human Computer Interaction. Coping with Diversity: 4th International Conference on Universal Access in Human-Computer Interaction.
- Pieter Duysburgh and Karin Slegers. 2015. Reciprocity in rapid ethnography: Giving back by making the small things count. In Human-Computer Interaction- INTERACT 2015: 15th IFIP TC 13 International Conference. Springer.
- Mary Anne L Egan. 2005. Students with Asperger's syndrome in the CS class- room. In Proceedings of the 36th SIGCSE technical symposium on computer science education.
- Yasmine N Elglaly, Catherine M Baker, Anne Spencer Ross, and Kristen Shinohara. 2024. Beyond HCI: The Need for Accessibility Across the CS Curriculum. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education.
- Barbara J Ericson, Paul Denny, James Prather, et al. 2022. Parsons problems and beyond: Systematic literature review and empirical study designs. Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education (2022).
- Dena Evans, Matthew Granson, David Langford, and Sophie Hirsch. 2023. Autism spectrum disorder: reconceptualising support for neurodiverse students in higher education. Journal of Higher Education Policy and Management 45, 2 (2023), 243-257.
- Jose L Fuertes, Luis F Gonzalez, and Loic Martinez. 2018. Visual programming languages for programmers with dyslexia: An experiment. In 2018 IEEE 14th International Conference on e-Science (e-Science). IEEE.
- Maya Israel, Quentin M Wherfel, Jamie Pearson, Saadeddine Shehab, and Tanya Tapia. 2015. Empowering K-12 students with disabilities to learn computational thinking and computer programming. TEACHING Exceptional Children (2015).
- Mara Kirdani-Ryan and Amy J Ko. 2024. Neurodivergent Legitimacy in Comput- ing Spaces. ACM Transactions on Computing Education 24, 4 (2024).
- Varsha Koushik and Shaun K Kane. 2019. " It Broadens My Mind" Empowering People with Cognitive Disabilities through Computing Education. In Proceedings of the 2019 CHI conference on human factors in computing systems.
- Jeremi S London, Walter C Lee, Canek Phillips, Amy S Van Epps, and Bevlee A Watford. 2020. A systematic mapping of scholarship on broadening participation of African Americans in engineering and computer science. Journal of Women and Minorities in Science and Engineering 26, 3 (2020).
- Madeleine Lorås, Guttorm Sindre, Hallvard Trætteberg, and Trond Aalberg. 2021. Study behavior in computing education-a systematic literature review. ACM Transactions on Computing Education (TOCE) 22, 1 (2021).
- Christopher Luchs. 2021. Considering Neurodiversity in Learning Design and Technology. TechTrends 65, 6 (2021).
- Barbara J Lutz and Barbara J Bowers. 2005. Disability in everyday life. Qualitative Health Research 15, 8 (2005).
- Kelly Mack, Emma McDonnell, Dhruv Jain, Lucy Lu Wang, Jon E. Froehlich, and Leah Findlater. 2021. What do we mean by "accessibility research"? A literature survey of accessibility papers in CHI and ASSETS from 1994 to 2019. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.
- Alexia Charis Martin, Kimberly Michelle Ying, Fernando J Rodríguez, et al. 2022. Intelligent Support for All? A Literature Review of the (In) equitable Design & Evaluation of Adaptive Pedagogical Systems for CS Education. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1.
- Xóchitl Martínez Nava. 2011. Mhy bib i fail logic? Dyslexia in the teaching of logic. In International Congress on Tools for Teaching Logic. Springer.
- Robert McCartney, Jonas Boustedt, Anna Eckerdal, Kate Sanders, and Carol Zan- der. 2017. Folk Pedagogy and the Geek Gene: Geekiness Quotient. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education.
- Amanda Menier, Rebecca Zarch, and Stacey Sexton. 2021. Broadening Gender in Computing for Transgender and Nonbinary Learners. In 2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT).
- Dee Michell, Anna Szorenyi, Katrina Falkner, and Claudia Szabo. 2017. Broaden- ing participation not border protection: How universities can support women in computer science. Journal of Higher Education Policy and Management (2017).
- Aboubakar Mountapmbeme, Obianuju Okafor, and Stephanie Ludi. 2022. Address- ing accessibility barriers in programming for people with visual impairments: A literature review. ACM Transactions on Accessible Computing (2022).
- Mary Pilotte and Diana Bairaktarova. 2016. Autism spectrum disorder and engi- neering education-needs and considerations. In 2016 IEEE Frontiers in Education Conference (FIE). IEEE.
- Darrel A Regier, Emily A Kuhl, and David J Kupfer. 2013. The DSM-5: Classifica- tion and criteria changes. World psychiatry 12, 2 (2013).
- David H Rose, Jenna W Gravel, and David T Gordon. 2013. Universal design for learning. The SAGE Handbook of Special Education: Two Volume Set (2013).
- Sheila R Ross. 2019. Supporting your neurodiverse student population with the Universal Design for Learning (UDL) framework. In 2019 IEEE Frontiers in Education Conference (FIE). IEEE.
- Shamima Nasrin Runa, Anna Markella Antoniadi, Brett A. Becker, and Catherine Mooney. 2023. Student Sense of Belonging: The Role of Gender Identity and Minoritisation in Computing and Other Sciences. In Proceedings of the 25th Australasian Computing Education Conference (ACE '23). ACM.
- Sophia Salvatore, Claudia White, and Stephen Podowitz-Thomas. 2024. "Not a cookie cutter situation": how neurodivergent students experience group work in their STEM courses. International Journal of STEM Education 11, 1 (2024), 47.
- Siva priya Santhanam and Kaitlyn Wilson. 2024. A Comparison of Autistic and Non-Autistic College Students' Perceived Challenges and Engagement in Self-Advocacy. American Journal of Speech-Language Pathology 33, 3 (2024).
- Allison Scott, Alexis Martin, Frieda McAlear, and Sonia Koshy. 2017. Broadening Participation in Computing: Examining Experiences of Girls of Color. In Pro- ceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '17). ACM.
- Ather Sharif, Aedan Liam McCall, and Kianna Roces Bolante. 2022. Should I Say "Disabled People" or "People with Disabilities"? Language Preferences of Disabled People Between Identity-and Person-First Language. In Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility.
- Moushumi Sharmin, Jordan Archer, Adrian Heffelman, Eli Graves, Yasmine N Elglaly, and Shameem Ahmed. 2024. Towards Understanding the Challenges, Needs, and Opportunities Pertaining to Assessment Techniques for Autistic College Students in Computing. In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE.
- Umar Shehzad, Mimi Recker, and Jody Clarke-Midura. 2023. A literature re- view examining broadening participation in upper elementary CS education. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education.
- Kristen Shinohara, Saba Kawas, Amy J Ko, and Richard E Ladner. 2018. Who teaches accessibility? A survey of US computing faculty. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education.
- Laurianne Sitbon. 2018. Engaging IT students in co-design with people with intellectual disability. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems.
- Sylvia Stuurman, Harrie JM Passier, Frédérique Geven, and Erik Barendsen. 2019. Autism: Implications for inclusive education with respect to software engineering. In Proceedings of the 8th Computer Science Education Research Conference.
- Lori A Wischnewsky. 2023. Empowering Autistic College Students: Recommen- dations Based on a Review of the Literature and Existing Support Programs. Journal of College Academic Support Programs (2023).
- Jacob O Wobbrock and Julie A Kientz. 2016. Research contributions in human- computer interaction. interactions 23, 3 (2016).
- Qiwen Zhao, Vaishnavi Mande, Paula Conn, et al. 2020. Comparison of methods for teaching accessibility in university computing courses. In Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility.
- Annuska Zolyomi, Anne Spencer Ross, Arpita Bhattacharya, Lauren Milne, and Sean A. Munson. 2018. Values, Identity, and Social Translucence: Neurodiverse Student Teams in Higher Education. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
Cited by
Sorted by citations
Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education
Mak, J., Nakatumba-Nabende, J., Clear, T., Clear, A., Abluwi, I., Andrei, O., Angeli, L., MacNeil, S., Oyelere, S. S., Hale Rattigan, M., et al. (2025) · Proceedings of the 2025 Working Group Reports on Innovation and Technology in Computer Science Education · doi:10.1145/3760545.3783975 · Cited by 12 · see citing works
Self-citationFigueira, I., Cisneros, J. M., Weber, J. L., Sanka, W., Phan, K., Wong-Ma, J., & Branham, S. M. (2026) · Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1 · doi:10.1145/3770762.3772561 · Cited by 3 · see citing works
Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education
Hermann, J., Jansen, N., Richter, U., Fleer, A., & Doganün, A. (2025) · Proceedings of the 25th Koli Calling International Conference on Computing Education Research · doi:10.1145/3769994.3770007 · Cited by 1 · see citing works
- Authors
- Zastudil, C., Smith, D. H., Tohamy, Y., Nasimova, R., Montross, G., & MacNeil, S.
- Affiliations
- Temple University (US)
- University of Illinois Urbana-Champaign (US)
- Venue
- Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1
- Publisher
- ACM
- Published
- 2025-06-13
- Pages
- 114-120
- OpenAlex
- W4411374557
- Cited by
- 15
- References
- 6
- Citations by year
- 2026: 11 · 2025: 4
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- cc-by-sa
- Locations
- ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Safety Research › Disability Education and Employment
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- neurodiversity, computing education, disability, autism spectrum disorder, dyslexia, attention deficit hyperactivity disorder, inclusive education, neurodivergent students, active learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review