Association for Behavior Analysis International

The Association for Behavior Analysis International® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.

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45th Annual Convention; Chicago, IL; 2019

Event Details

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Paper Session #441
Issues in Data Collection and Analysis
Monday, May 27, 2019
10:00 AM–10:50 AM
Hyatt Regency West, Ballroom Level, Regency Ballroom C
Area: AUT
Instruction Level: Basic
Chair: Tara Olivia Loughrey (The Victory Center for Autism and Related Disabilities)
 

Behavior Analysis Service Delivery and Technology: Advancements in Data Collection Platforms and Online Training Programs for Staff

Domain: Service Delivery
TARA OLIVIA LOUGHREY (The Victory Center for Autism and Related Disabilities), Jessica Naomi Cadette Dunn (The Victory Center), Diana Lozano (The Victory Center), Tiffany Morhaim (The Victory Center for Autism and Related Disabilities), Maria Soto (The Victory School)
 
Abstract:

Given increasing demands and the lack of funding towards indirect hours, BCBAs are in need of efficient methods to deliver services effectively. Technological advancements in online data collection platforms (e.g., Catalyst) and online training programs (e.g., Relias) will be discussed in terms of improving efficiencies, effectiveness and consumer satisfaction. First, we will discuss the implications of using an online data collection platform and the process of transitioning an organization from paper and pencil datasheets to an online platform. Using a multiple probe across participants (teachers) design, we evaluated the effects of Catalyst on data entry duration for five ABA teachers at a small school for students with autism and developmental disabilities. Results indicate that Catalyst was effective in significantly decreasing data entry duration for all five participants. In addition, social validity measures as well as permanent product data on the number of datasheets prior and following the use of the online platform were collected. Recommendations for future research and implications for the use of online data entry platforms in practice are discussed. Second, we will discuss the implications of using an online training program for individualizing training of practitioners. Specifically, we will discuss the process to set up an online training program and the advantages for an ABA organization. We will present social validity measures on consumer satisfaction of teachers. In addition, we will present data measuring the amount of time teachers will spend accessing training online outside of direct hours. Recommendations for future research and implications of the use of online training programs in practice are discussed.

 

Leveraging Machine Learning to Auto Collect Data From Video Samples

Domain: Service Delivery
MANU KOHLI (Cogniable; Learning Skills Academy, India), Ap Prathosh (IIT Delhi, India), Swati Kohli (Learning Skills Academy, India), Prashant Pandey (IIT Delhi, India), Joshua K. Pritchard (Factari Holdings)
 
Abstract:

Imagine software that collects all of your data during sessions. We did! As we all know, the success of ABA in the treatment of children diagnosed with autism spectrum disorder depends upon the collection and analysis of high quality observational data. However data collection can be labor intensive and prone to human error. To overcome those challenges we developed software using artificial intelligence and machine learning that can automatically collect data from video inputs of traditional DTT scenarios across multiple response domains. Videos of imitation and listener responding sessions during three months of treatment with 18 children was processed via our machine learning model. The outputs were contrasted with the true measure and those of humans.

 
 

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