Research Article
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Identification of Performance, Motivation, and Support Needs in Coding Education Provided for the Students with Mild Intellectual Disabilities

Year 2024, Issue: 55, 82 - 92, 09.12.2024
https://doi.org/10.33418/education.1487199

Abstract

Coding education, which enhances the computational thinking skills of K-12 students, is increasingly integrated into the curricula of various countries. However, such education is often excluded from the curricula designed for students with special needs. A review of the literature indicates a significant scarcity of studies dedicated to the coding instruction process for this population. To effectively integrate coding and computational thinking into the curricula for students with special needs, it is essential for educators to understand the appropriate materials and instructional supports that can enhance student motivation and participation during coding lessons. This study aims to evaluate the performance of a secondary school student with mild intellectual disabilities in coding education, with a focus on the materials used, student motivation, challenges encountered during the instruction, and the specific support needs of the student. Employing a holistic single case design, the research incorporates the perspectives of a secondary school special education student regarding their coding education, alongside observations made by the researcher. The findings indicate that the participant actively engaged in the coding education, with block-based coding activities being the most motivating among the various coding activities offered. Furthermore, the study identifies the essential individual supports required by the participant, which include concretization, verbal clarification of the tasks to be performed during each session, and access to the block-based coding platform.

References

  • Aho, A. V. (2012). Computation and computational thinking. The Computer Journal, 55(7), 832-835.
  • Akçay, A., & Çoklar, A. N. (2016). A proposal for the development of cognitive skills: Programming education. In A. İşman, H. F. Odabaşı, & B. Akkoyunlu (Eds.), Educational technologies readings 2016 (pp. 121-140). TOJET-Sakarya University.
  • Alkan, A. (2019). Attitudes of gifted students towards coding learning supported by computer games. The Journal of National Education, 48(223), 113-128.
  • Assainova, A. Z., Abykenova, D. B., Aubakirova, Z. T., Mukhamediyeva, K. M., & Kozhageldinova, K. A. (2023). Web technologies in the development of computational thinking of students with mental disabilities. International Journal of Emerging Technologies in Learning (iJET), 18(11), 74–92.
  • Bouck, E. C., & Yadav, A. (2022). Providing access and opportunity for computational thinking and computer science to support mathematics for students with disabilities. Journal of Special Education Technology, 37(1), 151-160.
  • Causton-Theoharis, J. N. (2009). The golden rule of providing support in inclusive classrooms: Support others as you would wish to be supported. Teaching Exceptional Children, 42(2), 36-43.
  • Demir, Ö., & Seferoğlu, S. S. (2017). New concepts, different usages: An evaluation regarding computational thinking. In H. F. Odabaşı, B. Akkoyunlu, & A. İşman (Eds.), Educational technologies readings 2017 (pp. 468-484). TOJET-Sakarya University.
  • Giangreco, M. F., Yuan, S., McKenzie, B., Cameron, P., & Fialka, J. (2005). "Be careful what you wish for...": Five reasons to be concerned about the assignment of individual paraprofessionals. Teaching Exceptional Children, 37(5), 28-34.
  • Grover, S., & Pea, R. D. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38–43.
  • İliç, U., Tuğtekin, U., & Haseski, H. İ. (2016). Computational thinking in educational digital games: A study on developing a measurement tool. Proceedings of the 10th International Computer and Instructional Technologies Symposium, Rize.
  • Israel, M., Wherfel, Q. M., Pearson, J., Shehab, S., & Tapia, T. (2015). Empowering K–12 students with disabilities to learn computational thinking and computer programming. Teaching Exceptional Children, 48(1), 45-53.
  • International Society for Technology in Education. (2018). ISTE standards for educators: Computational thinking competencies. Author.
  • Kafai, Y. B., & Burke, Q. (2015). Constructionist gaming: Understanding the benefits of making games for learning. Educational Psychologist, 50(4), 313-334.
  • Lamprou, A., & Repenning, A. (2018). Teaching how to teach computational thinking. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 69–74.
  • Ladner, R. E., & Israel, M. (2016). For all "in" computer science for all. Communications of the ACM, 59(9), 26-28. Lee, I., Martin, F., & Apone, K. (2014). Integrating computational thinking across the K–8 curriculum. ACM Inroads, 5(4), 64-71.
  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. SAGE Publications.
  • Ministry of National Education (MEB). (2018). Regulation on special education services. General Directorate of Special Education Guidance and Counseling Services.
  • Ministry of National Education (MEB). (2021). Individuals with intellectual disabilities. General Directorate of Special Education Guidance and Counseling Services. https://orgm.meb.gov.tr/meb_iys_dosyalar/2021_02/04102647_ZYHYNSEL_YETERSYZLYYY_OLAN_BYREYLER_TR.pdf
  • Ministry of National Education (MEB). (2022). National education statistics. Integration summit in education 2022.
  • Nordby, S. K., Bjerke, A. H., & Mifsud, L. (2022). Computational thinking in the primary mathematics classroom: A systematic review. Digital Experiences in Mathematics Education, 8(1), 27-49.
  • Snodgrass, M. R., Israel, M., & Reese, G. C. (2016). Instructional supports for students with disabilities in K-5 computing: Findings from a cross-case analysis. Computers & Education, 100, 1-17.
  • Sola-Özgüç, C., & Altın, D. (2022). Teaching block-based coding to a student with autism spectrum disorder. Ankara University Journal of Educational Sciences, 23(5), 565.
  • Stake, R. (1975). Program evaluation particularly responsive evaluation. Paper presented at the “New Trends in Evaluation” Conference. Göteborg, Sweden. http://journals.sfu.ca/jmde/index.php/jmde_1/article/view/303/298
  • Stefik, A., & Lander, R. E. (2015). Introduction to AccessCS10K and accessible tools for teaching programming. Proceedings of the 46th ACM Technical Symposium on Computer Science Education, ACM (2015, February), pp. 518-519.
  • Stoner, J. B., Angell, M. E., House, J. J., & Goins, K. (2006). Self-determination: Hearing the voices of adults with physical disabilities. Physical Disabilities: Education and Related Services, 25(1), 3-35.
  • Şahiner, A., & Kert, S. B. (2016). An examination of studies related to computational thinking from 2006 to 2015. European Journal of Science and Technology, 5(9), 38-43.
  • Taylor, M. S., Vasquez, E., & Donehower, C. (2017). Computer programming with early elementary students with Down syndrome. Journal of Special Education Technology, 32, 149–159.
  • Taylor, M. S. (2018). Computer programming with pre-K through first-grade students with intellectual disabilities. The Journal of Special Education, 52(2), 78–88.
  • Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.
  • Wing, J. (2011). Research notebook: Computational thinking—What and why. The Link Magazine, 6, 20-23.
  • Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: Pedagogical approaches to embedding 21st-century problem solving in K-12 classrooms. TechTrends, 60(6), 565–568.
  • Yecan, E., Özçınar, H., & Tanyeri, T. (2017). Visual programming teaching experiences of information technology teachers. Primary Education Online, 16(1), 377-393.
  • Yıldırım, A., & Şimşek, H. (2013). Qualitative research methods in the social sciences. Ankara: Seçkin Publishing.
  • Zhang, L., & Nouri, J. (2019). A systematic review of learning computational thinking through Scratch in K-9. Computers & Education, 141, 103607.

Hafif Düzey Zihinsel Yetersizliği Olan Öğrencilere Verilen Kodlama Eğitiminde Performans, Motivasyon ve Destek İhtiyaçlarının Belirlenmesi

Year 2024, Issue: 55, 82 - 92, 09.12.2024
https://doi.org/10.33418/education.1487199

Abstract

Günümüzde K-12 düzeyindeki öğrencilerin bilgi işlemsel düşünme becerisi edinimi için kodlama eğitimi tüm dünyada öğretim programlarında yerini almıştır (Lamprou & Repennig, 2018). Ancak özel eğitim sınıflarında eğitim gören özel gereksinimli öğrenciler normal sınıflarda eğitim gören öğrenciler gibi kodlama öğretimi almamaktadırlar. Kodlama öğretimine ait alanyazın incelendiğinde özel gereksinimli öğrencilere yönelik verilen kodlama öğretim sürecine yönelik az sayıda çalışma olduğu görülmüştür (Alkan, 2019; Sola-Özgüç & Altın, 2020; Taylor vd., 2017).
Özel gereksinimli öğrencilerin öğretim müfredatına kodlama ve bilgi işlemsel düşünmenin entegre edilmesi sürecinde, eğitimi uygulayacak öğretmenlerin, özel gereksinimli öğrencilere kodlama eğitimi sırasında öğrencilerin motivasyonunu artırma ve katılımını sağlamada hangi materyallerin kullanılacağını ve öğretimsel desteklerin nasıl sağlanacağını bilmeleri sürecin daha etkili olabilmesi için gerekli görülmektedir. Çalışmada hafif düzey zihinsel yetersizliği olan bir ortaokul öğrencisine verilen kodlama eğitiminde öğrencinin performansı kullanılan materyaller, öğrenci motivasyonu, öğrencinin süreçte yaşadığı zorluklar ve destek gereksinimi açısından incelenmesi amaçlanmıştır. Okullarda uygulanan kodlama öğretiminin etkililiğini ve başarısını saptamada öğretim sürecine katılan paydaşların değerlendirmelerinin önemli olduğu düşünülmektedir. Uygulamanın etkililiğini görmek ve gerekli düzeltmelerde bulunmak hem süreçteki paydaşlara hem de özel gereksinimli öğrencilere yapılacak kodlama öğretimi çalışmalarına fayda sağlayacaktır. Bu nedenle; yapılan çalışmada özel gereksinimli öğrencilere verilen kodlama eğitimine yönelik öğrenci görüşleri ile birlikte araştırmacının gözlemlerine yer verilmiştir.
Katılımcının kodlama eğitimine aktif katılım sağladığı, kodlama etkinliklerinden en çok blok tabanlı kodlama etkinliklerinin katılımcıda motivasyon sağladığı sonucuna ulaşılmıştır. Ayrıca çalışmada bireysel desteklerin; somutlaştırma, o oturumda yapacağı etkinliğin öncesinde sözlü olarak ifade edilmesi ve blok tabanlı kodlama platformuna erişim olduğu belirlenmiştir.

References

  • Aho, A. V. (2012). Computation and computational thinking. The Computer Journal, 55(7), 832-835.
  • Akçay, A., & Çoklar, A. N. (2016). A proposal for the development of cognitive skills: Programming education. In A. İşman, H. F. Odabaşı, & B. Akkoyunlu (Eds.), Educational technologies readings 2016 (pp. 121-140). TOJET-Sakarya University.
  • Alkan, A. (2019). Attitudes of gifted students towards coding learning supported by computer games. The Journal of National Education, 48(223), 113-128.
  • Assainova, A. Z., Abykenova, D. B., Aubakirova, Z. T., Mukhamediyeva, K. M., & Kozhageldinova, K. A. (2023). Web technologies in the development of computational thinking of students with mental disabilities. International Journal of Emerging Technologies in Learning (iJET), 18(11), 74–92.
  • Bouck, E. C., & Yadav, A. (2022). Providing access and opportunity for computational thinking and computer science to support mathematics for students with disabilities. Journal of Special Education Technology, 37(1), 151-160.
  • Causton-Theoharis, J. N. (2009). The golden rule of providing support in inclusive classrooms: Support others as you would wish to be supported. Teaching Exceptional Children, 42(2), 36-43.
  • Demir, Ö., & Seferoğlu, S. S. (2017). New concepts, different usages: An evaluation regarding computational thinking. In H. F. Odabaşı, B. Akkoyunlu, & A. İşman (Eds.), Educational technologies readings 2017 (pp. 468-484). TOJET-Sakarya University.
  • Giangreco, M. F., Yuan, S., McKenzie, B., Cameron, P., & Fialka, J. (2005). "Be careful what you wish for...": Five reasons to be concerned about the assignment of individual paraprofessionals. Teaching Exceptional Children, 37(5), 28-34.
  • Grover, S., & Pea, R. D. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38–43.
  • İliç, U., Tuğtekin, U., & Haseski, H. İ. (2016). Computational thinking in educational digital games: A study on developing a measurement tool. Proceedings of the 10th International Computer and Instructional Technologies Symposium, Rize.
  • Israel, M., Wherfel, Q. M., Pearson, J., Shehab, S., & Tapia, T. (2015). Empowering K–12 students with disabilities to learn computational thinking and computer programming. Teaching Exceptional Children, 48(1), 45-53.
  • International Society for Technology in Education. (2018). ISTE standards for educators: Computational thinking competencies. Author.
  • Kafai, Y. B., & Burke, Q. (2015). Constructionist gaming: Understanding the benefits of making games for learning. Educational Psychologist, 50(4), 313-334.
  • Lamprou, A., & Repenning, A. (2018). Teaching how to teach computational thinking. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 69–74.
  • Ladner, R. E., & Israel, M. (2016). For all "in" computer science for all. Communications of the ACM, 59(9), 26-28. Lee, I., Martin, F., & Apone, K. (2014). Integrating computational thinking across the K–8 curriculum. ACM Inroads, 5(4), 64-71.
  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. SAGE Publications.
  • Ministry of National Education (MEB). (2018). Regulation on special education services. General Directorate of Special Education Guidance and Counseling Services.
  • Ministry of National Education (MEB). (2021). Individuals with intellectual disabilities. General Directorate of Special Education Guidance and Counseling Services. https://orgm.meb.gov.tr/meb_iys_dosyalar/2021_02/04102647_ZYHYNSEL_YETERSYZLYYY_OLAN_BYREYLER_TR.pdf
  • Ministry of National Education (MEB). (2022). National education statistics. Integration summit in education 2022.
  • Nordby, S. K., Bjerke, A. H., & Mifsud, L. (2022). Computational thinking in the primary mathematics classroom: A systematic review. Digital Experiences in Mathematics Education, 8(1), 27-49.
  • Snodgrass, M. R., Israel, M., & Reese, G. C. (2016). Instructional supports for students with disabilities in K-5 computing: Findings from a cross-case analysis. Computers & Education, 100, 1-17.
  • Sola-Özgüç, C., & Altın, D. (2022). Teaching block-based coding to a student with autism spectrum disorder. Ankara University Journal of Educational Sciences, 23(5), 565.
  • Stake, R. (1975). Program evaluation particularly responsive evaluation. Paper presented at the “New Trends in Evaluation” Conference. Göteborg, Sweden. http://journals.sfu.ca/jmde/index.php/jmde_1/article/view/303/298
  • Stefik, A., & Lander, R. E. (2015). Introduction to AccessCS10K and accessible tools for teaching programming. Proceedings of the 46th ACM Technical Symposium on Computer Science Education, ACM (2015, February), pp. 518-519.
  • Stoner, J. B., Angell, M. E., House, J. J., & Goins, K. (2006). Self-determination: Hearing the voices of adults with physical disabilities. Physical Disabilities: Education and Related Services, 25(1), 3-35.
  • Şahiner, A., & Kert, S. B. (2016). An examination of studies related to computational thinking from 2006 to 2015. European Journal of Science and Technology, 5(9), 38-43.
  • Taylor, M. S., Vasquez, E., & Donehower, C. (2017). Computer programming with early elementary students with Down syndrome. Journal of Special Education Technology, 32, 149–159.
  • Taylor, M. S. (2018). Computer programming with pre-K through first-grade students with intellectual disabilities. The Journal of Special Education, 52(2), 78–88.
  • Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.
  • Wing, J. (2011). Research notebook: Computational thinking—What and why. The Link Magazine, 6, 20-23.
  • Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: Pedagogical approaches to embedding 21st-century problem solving in K-12 classrooms. TechTrends, 60(6), 565–568.
  • Yecan, E., Özçınar, H., & Tanyeri, T. (2017). Visual programming teaching experiences of information technology teachers. Primary Education Online, 16(1), 377-393.
  • Yıldırım, A., & Şimşek, H. (2013). Qualitative research methods in the social sciences. Ankara: Seçkin Publishing.
  • Zhang, L., & Nouri, J. (2019). A systematic review of learning computational thinking through Scratch in K-9. Computers & Education, 141, 103607.
There are 34 citations in total.

Details

Primary Language English
Subjects Instructional Technologies, Mental Disability Education
Journal Section Research Articles
Authors

Güler Karaman 0000-0002-9028-964X

Süleyman Sadi Seferoğlu 0000-0002-5010-484X

Early Pub Date December 9, 2024
Publication Date December 9, 2024
Submission Date May 20, 2024
Acceptance Date October 1, 2024
Published in Issue Year 2024 Issue: 55

Cite

APA Karaman, G., & Seferoğlu, S. S. (2024). Identification of Performance, Motivation, and Support Needs in Coding Education Provided for the Students with Mild Intellectual Disabilities. Educational Academic Research(55), 82-92. https://doi.org/10.33418/education.1487199

Content of this journal is licensed under a Creative Commons Attribution NonCommercial 4.0 International License
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