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Intellectual Disabilities and Programming: Improving Computational Thinking-Based Problem Solving

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Title: Intellectual Disabilities and Programming: Improving Computational Thinking-Based Problem Solving
Language: English
Authors: MiJeong Kim (ORCID 0000-0002-2139-9976), JaMee Kim (ORCID 0000-0002-5949-9753), WonGyu Lee (ORCID 0000-0001-5335-2913)
Source: Education and Information Technologies. 2025 30(9):12101-12141.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 41
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Intellectual Disability, Programming, Computation, Thinking Skills, Problem Solving, Skill Development, Computer Science Education, Students with Disabilities, Mild Intellectual Disability, Algorithms, Troubleshooting, Individualized Instruction, Educational Needs, Student Needs
DOI: 10.1007/s10639-024-13253-2
ISSN: 1360-2357
1573-7608
Abstract: In the digital age, computational thinking (CT)-based problem-solving skills have emerged as essential competencies. Particularly, students with intellectual disabilities need equal educational opportunities and high-quality informatics education to cultivate CT-based problem-solving skills. However, research on the enhancement of CT-based problem-solving skills, specifically among students with intellectual disabilities, is scant. Therefore, this study analyzed the improvement of CT-based problem-solving skills through programming education tailored to students with mild intellectual disabilities in an inclusive educational environment, using evaluation tools that reflect the multidimensional aspects of CT. The study involved 4 students with intellectual disabilities and 9 students without intellectual disabilities. A customized programming education course, comprising 6 sessions, was designed based on a Universal Design for Learning. Additionally, a pre-posttest consisting of 14 items was developed to evaluate multidimensional CT-based problem-solving skills. The results of the study indicated that the improvement in CT-based problem-solving skills during the stages of problem understanding and algorithm representation was limited. However, significant improvements were observed during the programming and debugging stages among most participants. The findings underscore the necessity of customized programming education for students with intellectual disabilities, and highlight the need for individualized education to address specific challenges faced in programming education. This study is significant in providing foundational data to understand the educational needs and characteristics of these students, aiming to enhance practical applicability in educational settings.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1475319
Database: ERIC
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  Data: Intellectual Disabilities and Programming: Improving Computational Thinking-Based Problem Solving
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  Data: <searchLink fieldCode="AR" term="%22MiJeong+Kim%22">MiJeong Kim</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-2139-9976">0000-0002-2139-9976</externalLink>)<br /><searchLink fieldCode="AR" term="%22JaMee+Kim%22">JaMee Kim</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-5949-9753">0000-0002-5949-9753</externalLink>)<br /><searchLink fieldCode="AR" term="%22WonGyu+Lee%22">WonGyu Lee</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-5335-2913">0000-0001-5335-2913</externalLink>)
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  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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  Data: 10.1007/s10639-024-13253-2
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  Data: 1360-2357<br />1573-7608
– Name: Abstract
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  Data: In the digital age, computational thinking (CT)-based problem-solving skills have emerged as essential competencies. Particularly, students with intellectual disabilities need equal educational opportunities and high-quality informatics education to cultivate CT-based problem-solving skills. However, research on the enhancement of CT-based problem-solving skills, specifically among students with intellectual disabilities, is scant. Therefore, this study analyzed the improvement of CT-based problem-solving skills through programming education tailored to students with mild intellectual disabilities in an inclusive educational environment, using evaluation tools that reflect the multidimensional aspects of CT. The study involved 4 students with intellectual disabilities and 9 students without intellectual disabilities. A customized programming education course, comprising 6 sessions, was designed based on a Universal Design for Learning. Additionally, a pre-posttest consisting of 14 items was developed to evaluate multidimensional CT-based problem-solving skills. The results of the study indicated that the improvement in CT-based problem-solving skills during the stages of problem understanding and algorithm representation was limited. However, significant improvements were observed during the programming and debugging stages among most participants. The findings underscore the necessity of customized programming education for students with intellectual disabilities, and highlight the need for individualized education to address specific challenges faced in programming education. This study is significant in providing foundational data to understand the educational needs and characteristics of these students, aiming to enhance practical applicability in educational settings.
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        Value: 10.1007/s10639-024-13253-2
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      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 41
        StartPage: 12101
    Subjects:
      – SubjectFull: Intellectual Disability
        Type: general
      – SubjectFull: Programming
        Type: general
      – SubjectFull: Computation
        Type: general
      – SubjectFull: Thinking Skills
        Type: general
      – SubjectFull: Problem Solving
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      – SubjectFull: Skill Development
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      – SubjectFull: Computer Science Education
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      – SubjectFull: Students with Disabilities
        Type: general
      – SubjectFull: Mild Intellectual Disability
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      – SubjectFull: Algorithms
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      – SubjectFull: Troubleshooting
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      – SubjectFull: Individualized Instruction
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      – SubjectFull: Educational Needs
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    Titles:
      – TitleFull: Intellectual Disabilities and Programming: Improving Computational Thinking-Based Problem Solving
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