Video-based instruction for career development for a learner with Autism Spectrum Disorder: a case study

Abstract

Purpose

The purpose of this case study is to discuss the development of a Video-Based Instruction (VBI) intervention in supporting a learner with Autism Spectrum Disorder (ASD) to independently complete a coffee preparation task in a community work setting.

Design/methodology/approach

The participant was a student with ASD enrolled in a public high school transition program with work experiences. The VBI was fully developed using an iPad’s built in camera and photos app to develop a sequence of video prompts (VP) demonstrating each step of the coffee preparation task. Baseline and intervention performance data were collected with the use of a 19-step task analysis.

Findings

The VBI intervention improved the student’s independent task completion, eliminating the need for external prompts. The student used the iPad to navigate the VP clips and completed all 19 task steps without errors, demonstrating increased independence and task proficiency.

Research limitations/implications

The findings suggest that VBI with the iPad photos app can be an effective instructional strategy for career development individuals with ASD. Future research should explore using VBI with readily accessible technology applications for tasks essential to paid employment for learners with ASD. Additionally, it should examine the involvement of relevant stakeholders in the development and implementation of VBI.

Originality/value

This study uniquely utilized the existing iPad camera and photos app to develop and deliver VBI, highlighting its potential as an accessible tool for developing individualized VBI. The use of widely available technology simplifies the implementation process and may be easily adopted in various career development contexts for learners with ASD.

Citation

Thull, C.S. (2024), "Video-based instruction for career development for a learner with Autism Spectrum Disorder: a case study", Journal of Enabling Technologies, Vol. 18 No. 2/3, pp. 169-178. https://doi.org/10.1108/JET-03-2024-0025