Assessment of Learners with Mild to Moderate Intellectual Disabilities

Authors

DOI:

https://doi.org/10.38140/obp2-2024-06

Keywords:

Mild to moderate intellectual disability, conventional assessment, high-stakes examination, accommodations, mainstream schools

Abstract

It is common practice to provide accommo­dations for learners who demonstrate mild to moderate intellectual disability (MID) in conventional assess­ments, including high-stakes examinations. Examples of these accommodations include extra time, readers and scribes, test formats and responses, and assistive devices. One concern is that even with these adjust­ments, academic success remains limited, as they do not address the cognitive load of the task. This study inves­tigated the difficulties faced by learners with MID and how these challenges affect assessment practices. It fol­lowed a qualitative approach, using an online survey to collect qualitative data from 30 schools. Additionally, principals from six schools participated in semi-struc­tured interviews. The data was analysed thematically. The findings indicate that learners with MID have lim­ited cognitive abilities and, therefore, experience diffi­culties in processing and remembering large amounts of information at once. They also have limited execu­tive functions, poor academic attitudes, and short at­tention spans. Regarding current assessment practices, the findings reveal that all formal tests consist primarily of various short-answer question formats; all summative assessments are brief and are sometimes administered once per semester, while practical assessments are given a higher weight than theoretical assessments. This study has uncovered that the use of conven­tional accommodations does not adequately provide learners with MID the opportunity to demonstrate their knowledge and competencies. It recommends that education policies be amended to address the current assessment challenges in order to encourage academic success for learners with MID.

References

Asiamah, N., Mensah, H., & Oteng-Abayie, E. F. (2017). General, target, and accessible population: Demystifying the concepts for effective sampling. The Qualitative Report. https://doi.org/10.46743/2160-3715/2017.2674

Asma, H., & Dallel, S. (2020). Cognitive load theory and its relation to instructional design: Perspectives of some Algerian university teachers of English. Arab World English Journal, 11(4), 110–127. https://doi.org/10.24093/awej/vol11no4.8

Bhati, L., & Sharma, H. (2023). Working memory and activities of daily living among children with intellectual disability. Journal of Namibian Studies: History Politics Culture, 35, 1342-1350.

Bouck, E. C., & Long, H. (2021). Traditional and Innovative Assessment Techniques for Students with Intellectual Disabilities. In Advances in special education (pp. 59–74). https://doi.org/10.1108/s0270-401320210000036004

Camedda, D., Banks, J., & Ringwood, B. (2024). Empowering Diversity: A Case Study on Inclusive Assessment and Universal Design for Learning in a Post-secondary Programme for Students with Intellectual Disabilities. All Ireland Journal of Higher Education, 16(2), 1-12.

Cockcroft, K. (2015). The role of working memory in childhood education: Five questions and answers. South African Journal of Childhood Education, 5(1), 18. https://doi.org/10.4102/sajce.v5i1.347

Creswell J. W. (2007). Qualitative Inquiry and Research Design: Choosing among Five Approaches. 2nd ed. Thousand Oaks, CA: Sage Publications.

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approach. Sage publications.

Dawadi, S. (2020). Thematic Analysis Approach: A step-by-step guide for ELT research practitioners. Journal of NELTA, 25(1–2), 62–71. https://doi.org/10.3126/nelta.v25i1-2.49731

Department of Basic Education (DBE). (2015). Policy on screening, identification, assessment, and support. Pretoria: Government printers.

Department of Education (DoE). (2001). Education White Paper 6. Special needs education: Building an inclusive education and training system. Pretoria: Government Printers.

Department of Education (DoE). (2012). National Protocol for assessments. Pretoria: Government Printers.

Fuchs, L. S., Seethaler, P. M., Sterba, S. K., Craddock, C., Fuchs, D., Compton, D. L., Geary, D. C., & Changas, P. (2020). Closing the word-problem achievement gap in first grade: Schema-based word-problem intervention with embedded language comprehension instruction. Journal of Educational Psychology, 113(1), 86–103. https://doi.org/10.1037/edu0000467

Geary, D. C., Hoard, M. K., Nugent, L., Ünal, Z. E., & Scofield, J. E. (2020). Comorbid Learning Difficulties in Reading and Mathematics: The role of intelligence and In-Class Attentive Behavior. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.572099

Guez, A., Ketan, & Piacentini, M. (2024). Mapping study for the integration of accommodations for students with Special Education Needs (SEN) in PISA. In OECD Education Working Papers. https://doi.org/10.1787/ed03c717-en

ADCET. (n.d.). Inclusive teaching: Intellectual disability. https://www.adcet.edu.au/inclusive-teaching/specific-disabilities/intellectual-disability

Johnson, R. B., & Christensen, L. (2019). Educational research: Quantitative, qualitative, and mixed approaches. Sage publications.

Kalyanpur, M. (2020). Disrupting the narrative of universality of inclusive education: The new marginalization of Low-Income, English Language Learners in India. The Educational Forum, 84(4), 296–308. https://doi.org/10.1080/00131725.2020.1796071

Kamran, M., Siddiqui, S., & Adil, M. S. (2023). Breaking Barriers: The Influence of Teachers’ Attitudes on Inclusive Education for Students with Mild Learning Disabilities (MLDs). Education Sciences, 13(6), 606. https://doi.org/10.3390/educsci13060606

Kamran, M., Siddiqui, S., & Adil, M. S. (2023b). Breaking Barriers: The Influence of Teachers’ Attitudes on Inclusive Education for Students with Mild Learning Disabilities (MLDs). Education Sciences, 13(6), 606. https://doi.org/10.3390/educsci13060606

Keskinova, A., & Ajdinski, G. (2018). Learning problems in children with mild intellectual disability. International Journal of Cognitive Research in Science Engineering and Education, 6(1), 31–37. https://doi.org/10.5937/ijcrsee1801031k

Lin, P. Y. (2021). Teachers Differentiated Assessment Practices for Secondary Students with Exceptionalities: The More, the Better? Journal of Disability Studies, 7(2), 64-74.

Miranti, S. A. (2024). Analysis of written language difficulties in asynchronous gifted children in the lower grades.

Mpu, Y., & Adu, E. O. (2021). The challenges of inclusive education and its 0implementation in schools: The South African perspective. Perspectives in Education, 39(2), 225-238.

Mujere, N. (2016). Sampling in research. In Mixed methods research for improved scientific study (pp. 107-121). IGI Global.

Mulisa, F. (2022). When Does a Researcher Choose a Quantitative, Qualitative, or Mixed Research Approach?. Interchange, 53(1), 113-131.

Mustafa, W. (2023). A proposed conception of the requirements for improving the effectiveness of innovative assessment techniques for students with mental disabilities and autism spectrum disorders in the light of the skills of the twenty-first century" a field study in Sohag Governorate. Journal of Research in Education and Psychology, 38(4), 185-288.

Noman, M., & Kaur, A. (2020). Differentiated Assessment A New Paradigm in Assessment Practices for Diverse Learners. International Journal of Education and Cognitive Sciences, 1(3), 1-7.

Paas, F., & Van Merriënboer, J. J. G. (2020). Cognitive-Load Theory: Methods to manage working memory load in the learning of complex tasks. Current Directions in Psychological Science, 29(4), 394–398. https://doi.org/10.1177/0963721420922183

Paradis, E., O’Brien, B., Nimmon, L., Bandiera, G., & Martimianakis, M. A. (2016). Design: Selection of data collection methods. Journal of Graduate Medical Education, 8(2), 263–264. https://doi.org/10.4300/jgme-d-16-00098.1

Patel, D., & Alismail, A. (2024). Relationship between Cognitive Load Theory, Intrinsic Motivation, and Emotions in Healthcare Professions Education: A Perspective on the missing link. Advances in Medical Education and Practice, Volume 15, 57–62. https://doi.org/10.2147/amep.s441405

Peng, P., & Kievit, R. A. (2020). The Development of Academic Achievement and Cognitive Abilities: a Bidirectional perspective. Child Development Perspectives, 14(1), 15–20. https://doi.org/10.1111/cdep.12352

Richmond-Rakerd, L. S., D’Souza, S., Andersen, S. H., Hogan, S., Houts, R. M., Poulton, R., Ramrakha, S., Caspi, A., Milne, B. J., & Moffitt, T. E. (2020). Clustering of health, crime, and social-welfare inequality in 4 million citizens from two nations. Nature Human Behaviour, 4(3), 255–264. https://doi.org/10.1038/s41562-019-0810-4

Schnotz, W., & Kürschner, C. (2007). A reconsideration of cognitive load theory. Educational Psychology Review, 19(4), 469–508. https://doi.org/10.1007/s10648-007-9053-4

Stratton, S. J. (2021). Population Research: Convenience sampling strategies. Prehospital and Disaster Medicine, 36(4), 373–374. https://doi.org/10.1017/s1049023x21000649

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

Taherdoost, H. (2022). What are Different Research Approaches? Comprehensive Review of Qualitative, Quantitative, and Mixed Method Research, Their Applications, Types, and Limitations. Journal of Management Science & Engineering Research, 5(1), 53–63. https://doi.org/10.30564/jmser.v5i1.4538

Theron, P. M. (2015). Coding and data analysis during qualitative empirical research in Practical Theology. In Die Skriflig/in Luce Verbi, 49(3). https://doi.org/10.4102/ids.v49i3.1880

Tümen-Aky?ld?z, S., & Ahmed, K.H. (2021). An overview of qualitative research and focus group discussion. Journal of Academic Research in Education, 7(1), 1-15. DOI: 10.17985/ijare.866762

Ugwu, C. I., Ekere, J. N., & Onoh, C. (2021). Research paradigms and methodological choices in the research process. Journal of Applied Information Science and Technology, 14(2), 116-124.

El Wafa, H. E. a. E., Ghobashy, S. a. E. L., & Hamza, A. M. (2020). A comparative study of executive functions among children with attention deficit and hyperactivity disorder and those with learning disabilities. Middle East Current Psychiatry, 27(1). https://doi.org/10.1186/s43045-020-00071-8

Xu, K. M., Koorn, P., De Koning, B., Skuballa, I. T., Lin, L., Henderikx, M., Marsh, H. W., Sweller, J., & Paas, F. (2020). A growth mindset lowers perceived cognitive load and improves learning: Integrating motivation to cognitive load. Journal of Educational Psychology, 113(6), 1177–1191. https://doi.org/10.1037/edu0000631

Zaqueu, L., Teixeira, M. C. T. V., Lowenthal, R., Mari, J. J., Miguel, E. C., Rohde, L. A., & Paula, C. S. (2021). Disability in children and adolescents: the extent of the impact on psychiatric disorders and educational deficits. Trends in psychiatry and psychotherapy, 43(3), 235-239.

Kuhnert, A. (2003). Exploring the assessment process in an inclusive classroom: A case study [MEd Thesis, Stellenbosch University]. https://scholar.sun.ac.za/items/f61d17ce-a4e1-4ddc-9e6e-da7034235403

Themane, M., & Thobejane, H. R. (2018). Teachers as change agents in making teaching inclusive in some selected rural schools of Limpopo Province, South Africa: implications for teacher education. International Journal of Inclusive Education, 23(4), 369–383. https://doi.org/10.1080/13603116.2018.1434690

Chauke, M., & Tabane, R. (2024). Educators’ adaptive assessment procedures in teaching English First Additional Language in Grade 6 inclusive classrooms in South Africa. South African Journal of Education, 44(3), 1–10. https://doi.org/10.15700/saje.v44n3a2461

Published

2024-12-20