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A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

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Developing an interdisciplinary master's program in applied behavior analysis.

B Lowenkron¹, L Mitchell

¹Department of Psychology, California State University, Los Angeles, Los Angeles, California, USA. zlowenkC@calstatela.edu

The Behavior Analyst

|April 6, 2012

Summary

This summary is machine-generated.

Developing interdisciplinary programs in applied behavior analysis (ABA) can overcome faculty fragmentation. A bottom-up strategy fostered two new MS programs, yielding significant benefits for behavior analysis education.

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Area of Science:

Behavioral Science
Interdisciplinary Studies

Background:

Faculty in behavior analysis are often dispersed across university departments.
This disciplinary separation hinders the development of specialized academic programs and professional networking.

Purpose of the Study:

To describe a strategy for creating interdisciplinary Master of Science (MS) programs in applied behavior analysis.
To highlight the benefits of such interdisciplinary initiatives.

Main Methods:

A bottom-up approach was employed to establish two complementary MS programs.
Focus on integrating faculty from various disciplines.

Main Results:

Successful development of two interdisciplinary MS programs in applied behavior analysis.
Identification of both expected and unexpected advantages stemming from the program's collaborative structure.

Conclusions:

Interdisciplinary collaboration can transform disciplinary fragmentation into a strength for behavior analysis programs.
The described strategy offers a model for developing similar programs at other institutions.