Teaching Digital, Block-Based Coding of Robots to High School Students with Autism Spectrum Disorder and Challenging Behavior.

The use of robots to teach students with autism spectrum disorder communication skills has basis in the literature; however, research investigating the effects of teaching coding or programming of robotics to promote learning in STEM to this population has not yet been conducted. The purpose of the...

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Published in:Journal of Autism & Developmental Disorders Vol. 49; no. 8; pp. 3113 - 3127
Main Authors: Knight, Victoria F., Wright, John, Wilson, Kalli, Hooper, Ashton
Format: research tables/charts Journal Article
Published: Springer Nature Aug2019
Online Access:View this record in EBSCOhost
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      dt: Aug2019
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      pub: Springer Nature
      place: New York, New York
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        atl: Teaching Digital, Block-Based Coding of Robots to High School Students with Autism Spectrum Disorder and Challenging Behavior.
      aug:
        au:
          Knight, Victoria F.
          Wright, John
          Wilson, Kalli
          Hooper, Ashton
        affil: Faculty of Education, University of British Columbia, Vancouver Campus, 2125 Main Mall, V6T 1Z4, Vancouver, BC, Canada
      sug:
        subj:
          Autism Spectrum Disorder Diagnosis
          Intellectual Disability Diagnosis
          Child Behavior Disorders Diagnosis
          Students, High School
          Teaching Methods
          Robotics
          Coding
          Computers and Computerization
          Human
          Male
          Female
          Adolescence
          Education, Special
          Experimental Studies
          Adolescent: 13-18 years
          Male
          Female
      ab: The use of robots to teach students with autism spectrum disorder communication skills has basis in the literature; however, research investigating the effects of teaching coding or programming of robotics to promote learning in STEM to this population has not yet been conducted. The purpose of the current study was to evaluate the effects of teaching one code explicitly, using model-lead-test on the following dependent variables: (a) acquisition of the explicitly-taught code (i.e., robotic movement); (b) generalization of the explicitly-taught code to other novel codes (i.e., robotic sounds, light effects, complex movements), and (c) self-generated novel sets of codes. Results of the multiple probe across participants design demonstrate that all three students with ASD and challenging behaviors were able to acquire the initial code, generalize the initial code to novel codes, and self-generate (i.e., create, test, and evaluate) their own coding. Implications for practitioners, study limitations, and recommendations for future research are discussed.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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