Association for Behavior Analysis International

The Association for Behavior Analysis InternationalĀ® (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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40th Annual Convention; Chicago, IL; 2014

Event Details


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Panel #521
CE Offered: BACB
The Use of Applications (Apps) for Instructional Delivery and Data Collection by Classroom Teachers of Persons With Autism and Intellectual Disabilities
Tuesday, May 27, 2014
12:00 PM–12:50 PM
W184d (McCormick Place Convention Center)
Area: PRA/AUT; Domain: Service Delivery
CE Instructor: Maureen Schepis, Ph.D.
Chair: Maureen Schepis (George Mason University)
MAUREEN SCHEPIS (George Mason University)
DAVID A. LOJKOVIC (George Mason University)
DOROTHY XUAN ZHANG (George Mason University)
Abstract:

Applications (apps) that are developed for hand-held technology have become increasingly popular as an efficient and effective way to teach new behaviors. Relative to traditional teaching methods, apps provide a consistent way to deliver instructional content and often embed data collection features to capture real-time information on user performance measures. Data collected within an app or with apps developed exclusively for data collection may also reduce the need for human observers for data collection and/or entry. Additionally, apps may format data in a way that can expedite the export of data to software programs that are capable of a more detailed data analysis. This session will include a demonstration of one app that has been developed exclusively for data collection and an app that collects user data within the app. Data will be presented from studies that are utilizing these apps by classroom teachers and by persons with autism and intellectual disabilities. The panel will discuss the pros and cons of the use of apps for data collection and will welcome feedback from the audience related to the most beneficial features to be included in further app development.

Keyword(s): Apps, Data Collection, Teachers, Technology
 

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