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Otizm Spektrum Bozukluğu Olan Bir Öğrenciye Blok Tabanlı Kodlama Öğretim Süreci

Year 2022, Volume: 23 Issue: 3, 565 - 594, 01.09.2022
https://doi.org/10.21565/ozelegitimdergisi.822554

Abstract

Giriş: Bu araştırmanın amacı, otizm spektrum bozukluğu (OSB) olan bir öğrenciye kodlama öğretimi sürecinin ayrıntılı bir şekilde aktarılarak, öğrencinin kodlamada elde ettiği kazanımların, süreçte karşılaşılan problemlerin ve çözüm önerilerinin incelenmesidir.
Yöntem: Araştırma durum araştırması olarak desenlenmiştir ve üç aylık bir öğretim sürecini kapsamıştır. Bu süreçte 10 yaşındaki otizm spektrum bozukluğu olan bir erkek öğrenciye kodlama becerilerinin doğrudan öğretim yöntemiyle hazırlanan öğretim oturumları, bu çalışmanın katılımcıya katkıları elde edilen çeşitli verilerle analiz edilmiştir. Veriler, içerik analizi ile Nvivo 10 programı kullanılarak analiz edilmiştir.
Bulgular: Bulgular, kodlama öğretimi sürecinin sonucunda katılımcıda önemli kazanımlar elde edildiğini göstermiştir. Elde edilen kazanımlarla katılımcının motivasyonunun arttığı görülmüştür. Katılımcı ileride kodlamayı meslek olarak yapmak istediğini belirtmiştir.
Tartışma: Bu çalışmada katılımcının programlama becerileri kazanmanın yanında bilgisayara kaydettiği belgeyi bulma, ekran görüntüsü alma ve bir şeyler yazdırma gibi yeni beceriler öğrendiği belirlenmiştir. Bu konuda yapılan çalışmalar da programlama öğretiminin mühendislik alanında kariyer planlamasına katkı sağlamasının yanında edinilen becerilerin günlük hayatta da kullanılabileceğini veya diğer mesleklerde de ihtiyaç duyulacağını ifade etmektedir. Bu çalışmada da OSB olan bireylerin teknolojiyi sadece tüketici konumda kullanmaları değil, bilgi işlemsel düşüncelerini geliştirerek teknoloji alanında üretken bireyler olmaları gerektiği vurgulanmıştır.

Thanks

Araştırmamızın katılımcısı öğrencimize, öğrencimizin gerçekleştirdiğimiz uygulamalara katılımı konusunda bize yardımcı ve destek olan velisine, çalışmamıza değerli fikirleriyle katkı sunan Dr. Öğr. Üyesi Onur İşbulan’a ve uygulamaların video kaydına alınmasında yardımcı olan sevgili öğrencimiz İrem Avlar’a teşekkürlerimizle.

References

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  • Brantlinger, E., Jimenez, R., Klingner, J., Pugach, M., & Richardson, V. (2005). Qualitative studies in special education. Exceptioanl Children, 71(2), 195.207. https://doi.org/10.1177%2F001440290507100205.
  • Burgstahler, S., Ladner, R., E., & Bellman, S. (2012). Strategies for increasing the participation in computing of students with disabilities. ACM Inroads, 3(4), 42-48. https://doi.org/10.1145/2381083.2381098.
  • Creswell, J. W. (2014). Educational research: planning, conducting, and evaluating quanitative and qualitative Research. Upper saddle river, New Jersey: Pearson Education, Inc.
  • Computer Science Teachers Association and International Society of Technology in Education. (2011). Operational definition of computational thinking for K-12 education. Retrieved from https://id.iste.org/docs/ct-documents/computational-thinking-operational-definition-flyer.pdf?sfvrs. CompThinkingFlyer.pdf
  • Ehsan, H., Rispoli, M., Lory, C., & Gregori, E. (2018). A systematic review of stem instruction with students with autism spectrum disorders. Review Journal of Autism and Developmental Disorders, 5, 327-348. https://doi.org/10.1007/s40489-018-0142-8.
  • Gay, L. R., Mills, G. E., & Airasan, P. (2006). Educational research. competencises for analysis and applications. New Jersey: Pearson Ecucation Ltd.
  • Geist, E. (2016). Robots, programming and coding, oh my! Childhood Education, 92, 298–304. https://doi.org/10.1080/00094056.2016.1208008.
  • Havlaskova, T., Homanova, Z., & Tran, D. (2019, November 21-22). Developing computational thinking in pre- school children [Poster presentation]. 17th ınternational conference on emerging elearning technologies and applications (ICETA), Starý Smokovec, Slovakia.
  • Hwang, J., & Taylor, J., C. (2016). Stemming on stem: a stem education framework for students with disabilities. Journal of Science Education for Students with Disabilities, 19(1), 39-49. https://doi.org/10.14448/jsesd.06.00017.
  • Israel, M., Wherfel, Q., M., Pearson, J., Shehab, S., & Tapta, T. (2015a). Empowering k–12 students with disabilities to learn computational thinking and computer programming. Teaching Exceptional Children, 48(1), 45-53. https://doi.org/10.1177%2F0040059915594790.
  • Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M., & Reese, G. (2015b). Supporting all learners in school-wide computational thinking: A cross-case qualitative analysis. Computers & Education, 82, 263-279. https://doi.org/10.1016/j.compedu.2014.11.022.
  • James, W., Lamons, K., Spilka, R., Bustamante, C., Scanlon, E.M., & Chini, J.J. (2019). Hidden walls: STEM course barriers identified by students with disabilities. arXiv: Physics Education, 1-6. https://arxiv.org/abs/1909.02905.
  • Kafai, Y., & Burke, Q. (2014). Connected Code: Why Children Need to Learn Programming. Cambridge, Massachusetts; London, England: The MIT Press.
  • Kalelioglu, F. (2015). A new way of teaching programming skills to K-12 students: Code.org. Computers in Human Behavior, 52, 200-210. https://doi.org/10.1016/j.chb.2015.05.047.
  • Karp, T., & Maloney, P. (2013). Exciting young students in grades K-8 about STEM through an afterschool robotics challenge. American Journal of Engineering Education, 4, 39–54. https://doi.org/10.19030/ajee.v4i1.7857.
  • Knight, V., Wright, J., Wilson, K., & Hooper, A. (2019a). Teaching digital block-based coding to high school students with ASD and challenging behavior. Journal of Autism and Developmental Disorders, 49(8), 3113-3126. https://doi.org/10.1007/s10803-019-04033-w.
  • Knight, V., Wright, J., & Defreese, A. (2019b). Teaching robotics coding to a student with ASD and severe problem behavior. Journal of Autism and Developmental Disorders, 49(6), 2632-2636. https://doi.org/10.1007/s10803-019-03888-3.
  • Kong, S., Lai, M., & Sun, D. (2020). Teacher development in computational thinking: Design and learning outcomes of programming concepts, practices and pedagogy. Computers & Education, 151. https://doi.org/10.1016/j.compedu.2020.103872.
  • Lindsay, S., & Hounsell, K., G. (2017). Adapting a robotics program to enhance participation and interest in STEM among children with disabilities: a pilot study. Disability and Rehablitation: Assistive Technology, 12(7), 694-704. https://doi.org/10.1080/17483107.2016.1229047.
  • Ludi, S., & Reichlmayr, T. (2011). The use of robotics to promote computing to pre-college students with visual ımpairments. Acm Transactions on Computing Education, 11(3), 1-20. https://doi.org/10.1145/2037276.2037284.
  • Mason, S. L., & Rich, P. J. (2019). Preparing elementary school teachers to teach computing, coding, and computational thinking. Contemporary Issues in Technology and Teacher Education, 19(4), 790-824. https://citejournal.org/volume-19/issue-4-19/general/preparing-elementary-school-teachers-to-teach-computing-coding-and-computational-thinking.
  • Meccawy, M. (2017). Raising a programmer: Teaching Saudi childen how to code. International Journal of Educational Technology, 4(2), 56-65. https://educationaltechnology.net/ijet/index.php/ijet/article/view/25
  • Miles, M. B., Hurberman, A. M., & Saldana, J. (2014). Qualitative data analysis. A methods sourcebook. (3rd. Ed.). USA: Sage Publications, Inc.
  • National Science Foundation. (2009). A week to focus on computer science education (Press Release 09-234). Retrieved from http://www.nsf.gov/news/news_summ.jsp?cntn_id=116059.
  • National Education Association (2012). Preparing 21st century students for a global society: an educator’s guide to the “four cs”. Retrived from: http://www.nea.org/assets/docs/A-Guide-to-Four-Cs.pdf.
  • Newman, L., Wagner, M., Knokey, A.-M., Marder, C., Nagle, K., Shaver, D., Wei, X., with Cameto, R., Contreras, E., Ferguson, K., Greene, S., and Schwarting, M. (2011). The Post-High School Outcomes of Young Adults With Disabilities up to 8 Years After High School. A Report From the National Longitudinal Transition Study-2 (NLTS2) (NCSER 2011-3005). Menlo Park, CA: SRI International. Retrieved from www.nlts2.org/reports/
  • Papadakis, S., Kalogiannakis, M., & Zaranis, N. (2016). Developing fundamental programming concepts and computational thinking with ScratchJr in preschool education: a case study. International Journal of Mobile Learning and Organisation, 10(3), 187-202. https://doi.org/10.1504/IJMLO.2016.077867.
  • Patton, M.Q. (2002). Qualitative research and evaluation methods (3rd Ed.). London: Sage Publications, Inc.
  • Ratcliff, C. C., & Anderson, S. E. (2011). Reviving the turtle: Exploring the use of logo with students with mild disabilities. Computers in the Schools, 28, 241–255. https://doi.org/10.1080/07380569.2011.594987.
  • Sullivan, A., A., Umaschi, B., & Mihm, C. (2017, July 13-15). Imagining, playing, and coding with kıbo: using robotics to foster computational thinking in young children [Paper presentation]. Conference Proceedings of International Conference on Computational Thinking Education, Hong Kong.
  • Taylor, M., S. (2017). Computer programming with early elementary students with and without intellectual disabilities [Doctoral dissertation, University of Central Florida]. https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=6564&context=etd&httpsredir=1&referer=.
  • 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. https://doi.org/10.1177%2F0162643417704439.
  • 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. https://doi.org/10.1177%2F0022466918761120.
  • Thomas, T., A. (2014). Elementary teachers’ receptivity to ıntegrated science, technology, engineering, and mathematics (stem) education in the elementary grades [Doctoral dissertation, University of Nevada]. http://hdl.handle.net/11714/2852.
  • Vahldick, A., Mendes, A.J., & Marcelino, M.J. (2014, October 22-25). A review of games designed to improve introductory computer programming competencies [Paper presentation]. Frontiers in Education Conference, Madrid, Spain.
  • Vilorio, D. (2014). STEM 101: Intro to tomorrow’s jobs. Occupational Outlook Quarterly, 58(1), 2-12. https://www.heartland.org/_template-assets/documents/publications/stem_101_report.pdf
  • Yin, R. K. (2014). Case study research: Design and methods (5th ed.) Thousand Oak, Ca: Sage.

Teaching Block-Based Coding to a Student with Autism Spectrum Disorder

Year 2022, Volume: 23 Issue: 3, 565 - 594, 01.09.2022
https://doi.org/10.21565/ozelegitimdergisi.822554

Abstract

Introduction: The aim of this study is to review the process of teaching coding to a student with autism spectrum disorder (ASD) and to examine that student’s educational gains, problems encountered during process, and suggestions for solutions.
Method: The research was designed as a case study and involved a three-month instruction process, during which the instruction sessions were prepared via the explicit instruction method of coding skills for a 10-year-old boy with autism spectrum disorder. Further, the contributions of this study were analysed through the data obtained via content analysis method with the NVivo 10 program.
Findings: The findings indicated that the participant demonstrated significant gains as a result of the coding teaching process. He successfully completed the first and second levels in the Code.org platform by reducing the level of help given under the researcher’s supervision. The participant completed the last two lessons of his second level without any help and became independent in coding skills. The gains increased the participant’s motivation; he further stated that he wanted to make coding his future profession.
Discussion: The participant not only gained skills in programming, he also learned new skills, e.g., finding the document he saved on a computer, taking a screenshot, and printing something out. According to the literature, programming teaching not only contributes to career planning in the field of engineering, these skills can also be used in daily life or will be needed in other professions. It has been emphasized that individuals with ASD should not only use technology as consumers, but also should be productive individuals in the field of technology by developing their computational thinking skills.

References

  • AccessSTEM (2007). Accessstem 2007 CBI proceedings. Retrieved from https://www.washington.edu/doit/sites/default/files/atoms/files/AccessSTEM%202007%20CBI%20Proceedings.pdf.
  • Basham, J., D., & Marino, M., T. (2013). Understanding stem education and supporting students through universal design for learning. Teaching Exceptional Children, 4, 8-15. https://doi.org/10.1177%2F004005991304500401.
  • Bogdan, R. C., & Biklen, S. K. (2007). Qualitative research for education: an introduction to theories and methods. Boston: Pearson Ecucation Ltd.
  • Brantlinger, E., Jimenez, R., Klingner, J., Pugach, M., & Richardson, V. (2005). Qualitative studies in special education. Exceptioanl Children, 71(2), 195.207. https://doi.org/10.1177%2F001440290507100205.
  • Burgstahler, S., Ladner, R., E., & Bellman, S. (2012). Strategies for increasing the participation in computing of students with disabilities. ACM Inroads, 3(4), 42-48. https://doi.org/10.1145/2381083.2381098.
  • Creswell, J. W. (2014). Educational research: planning, conducting, and evaluating quanitative and qualitative Research. Upper saddle river, New Jersey: Pearson Education, Inc.
  • Computer Science Teachers Association and International Society of Technology in Education. (2011). Operational definition of computational thinking for K-12 education. Retrieved from https://id.iste.org/docs/ct-documents/computational-thinking-operational-definition-flyer.pdf?sfvrs. CompThinkingFlyer.pdf
  • Ehsan, H., Rispoli, M., Lory, C., & Gregori, E. (2018). A systematic review of stem instruction with students with autism spectrum disorders. Review Journal of Autism and Developmental Disorders, 5, 327-348. https://doi.org/10.1007/s40489-018-0142-8.
  • Gay, L. R., Mills, G. E., & Airasan, P. (2006). Educational research. competencises for analysis and applications. New Jersey: Pearson Ecucation Ltd.
  • Geist, E. (2016). Robots, programming and coding, oh my! Childhood Education, 92, 298–304. https://doi.org/10.1080/00094056.2016.1208008.
  • Havlaskova, T., Homanova, Z., & Tran, D. (2019, November 21-22). Developing computational thinking in pre- school children [Poster presentation]. 17th ınternational conference on emerging elearning technologies and applications (ICETA), Starý Smokovec, Slovakia.
  • Hwang, J., & Taylor, J., C. (2016). Stemming on stem: a stem education framework for students with disabilities. Journal of Science Education for Students with Disabilities, 19(1), 39-49. https://doi.org/10.14448/jsesd.06.00017.
  • Israel, M., Wherfel, Q., M., Pearson, J., Shehab, S., & Tapta, T. (2015a). Empowering k–12 students with disabilities to learn computational thinking and computer programming. Teaching Exceptional Children, 48(1), 45-53. https://doi.org/10.1177%2F0040059915594790.
  • Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M., & Reese, G. (2015b). Supporting all learners in school-wide computational thinking: A cross-case qualitative analysis. Computers & Education, 82, 263-279. https://doi.org/10.1016/j.compedu.2014.11.022.
  • James, W., Lamons, K., Spilka, R., Bustamante, C., Scanlon, E.M., & Chini, J.J. (2019). Hidden walls: STEM course barriers identified by students with disabilities. arXiv: Physics Education, 1-6. https://arxiv.org/abs/1909.02905.
  • Kafai, Y., & Burke, Q. (2014). Connected Code: Why Children Need to Learn Programming. Cambridge, Massachusetts; London, England: The MIT Press.
  • Kalelioglu, F. (2015). A new way of teaching programming skills to K-12 students: Code.org. Computers in Human Behavior, 52, 200-210. https://doi.org/10.1016/j.chb.2015.05.047.
  • Karp, T., & Maloney, P. (2013). Exciting young students in grades K-8 about STEM through an afterschool robotics challenge. American Journal of Engineering Education, 4, 39–54. https://doi.org/10.19030/ajee.v4i1.7857.
  • Knight, V., Wright, J., Wilson, K., & Hooper, A. (2019a). Teaching digital block-based coding to high school students with ASD and challenging behavior. Journal of Autism and Developmental Disorders, 49(8), 3113-3126. https://doi.org/10.1007/s10803-019-04033-w.
  • Knight, V., Wright, J., & Defreese, A. (2019b). Teaching robotics coding to a student with ASD and severe problem behavior. Journal of Autism and Developmental Disorders, 49(6), 2632-2636. https://doi.org/10.1007/s10803-019-03888-3.
  • Kong, S., Lai, M., & Sun, D. (2020). Teacher development in computational thinking: Design and learning outcomes of programming concepts, practices and pedagogy. Computers & Education, 151. https://doi.org/10.1016/j.compedu.2020.103872.
  • Lindsay, S., & Hounsell, K., G. (2017). Adapting a robotics program to enhance participation and interest in STEM among children with disabilities: a pilot study. Disability and Rehablitation: Assistive Technology, 12(7), 694-704. https://doi.org/10.1080/17483107.2016.1229047.
  • Ludi, S., & Reichlmayr, T. (2011). The use of robotics to promote computing to pre-college students with visual ımpairments. Acm Transactions on Computing Education, 11(3), 1-20. https://doi.org/10.1145/2037276.2037284.
  • Mason, S. L., & Rich, P. J. (2019). Preparing elementary school teachers to teach computing, coding, and computational thinking. Contemporary Issues in Technology and Teacher Education, 19(4), 790-824. https://citejournal.org/volume-19/issue-4-19/general/preparing-elementary-school-teachers-to-teach-computing-coding-and-computational-thinking.
  • Meccawy, M. (2017). Raising a programmer: Teaching Saudi childen how to code. International Journal of Educational Technology, 4(2), 56-65. https://educationaltechnology.net/ijet/index.php/ijet/article/view/25
  • Miles, M. B., Hurberman, A. M., & Saldana, J. (2014). Qualitative data analysis. A methods sourcebook. (3rd. Ed.). USA: Sage Publications, Inc.
  • National Science Foundation. (2009). A week to focus on computer science education (Press Release 09-234). Retrieved from http://www.nsf.gov/news/news_summ.jsp?cntn_id=116059.
  • National Education Association (2012). Preparing 21st century students for a global society: an educator’s guide to the “four cs”. Retrived from: http://www.nea.org/assets/docs/A-Guide-to-Four-Cs.pdf.
  • Newman, L., Wagner, M., Knokey, A.-M., Marder, C., Nagle, K., Shaver, D., Wei, X., with Cameto, R., Contreras, E., Ferguson, K., Greene, S., and Schwarting, M. (2011). The Post-High School Outcomes of Young Adults With Disabilities up to 8 Years After High School. A Report From the National Longitudinal Transition Study-2 (NLTS2) (NCSER 2011-3005). Menlo Park, CA: SRI International. Retrieved from www.nlts2.org/reports/
  • Papadakis, S., Kalogiannakis, M., & Zaranis, N. (2016). Developing fundamental programming concepts and computational thinking with ScratchJr in preschool education: a case study. International Journal of Mobile Learning and Organisation, 10(3), 187-202. https://doi.org/10.1504/IJMLO.2016.077867.
  • Patton, M.Q. (2002). Qualitative research and evaluation methods (3rd Ed.). London: Sage Publications, Inc.
  • Ratcliff, C. C., & Anderson, S. E. (2011). Reviving the turtle: Exploring the use of logo with students with mild disabilities. Computers in the Schools, 28, 241–255. https://doi.org/10.1080/07380569.2011.594987.
  • Sullivan, A., A., Umaschi, B., & Mihm, C. (2017, July 13-15). Imagining, playing, and coding with kıbo: using robotics to foster computational thinking in young children [Paper presentation]. Conference Proceedings of International Conference on Computational Thinking Education, Hong Kong.
  • Taylor, M., S. (2017). Computer programming with early elementary students with and without intellectual disabilities [Doctoral dissertation, University of Central Florida]. https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=6564&context=etd&httpsredir=1&referer=.
  • 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. https://doi.org/10.1177%2F0162643417704439.
  • 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. https://doi.org/10.1177%2F0022466918761120.
  • Thomas, T., A. (2014). Elementary teachers’ receptivity to ıntegrated science, technology, engineering, and mathematics (stem) education in the elementary grades [Doctoral dissertation, University of Nevada]. http://hdl.handle.net/11714/2852.
  • Vahldick, A., Mendes, A.J., & Marcelino, M.J. (2014, October 22-25). A review of games designed to improve introductory computer programming competencies [Paper presentation]. Frontiers in Education Conference, Madrid, Spain.
  • Vilorio, D. (2014). STEM 101: Intro to tomorrow’s jobs. Occupational Outlook Quarterly, 58(1), 2-12. https://www.heartland.org/_template-assets/documents/publications/stem_101_report.pdf
  • Yin, R. K. (2014). Case study research: Design and methods (5th ed.) Thousand Oak, Ca: Sage.
There are 40 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Canan Sola Özgüç 0000-0002-4716-9028

Damla Altın 0000-0001-8091-7625

Publication Date September 1, 2022
Published in Issue Year 2022 Volume: 23 Issue: 3

Cite

APA Sola Özgüç, C., & Altın, D. (2022). Teaching Block-Based Coding to a Student with Autism Spectrum Disorder. Ankara Üniversitesi Eğitim Bilimleri Fakültesi Özel Eğitim Dergisi, 23(3), 565-594. https://doi.org/10.21565/ozelegitimdergisi.822554

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