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1 BACB General CEUs $20 1 hr 1 min On-Demand

General CEU: The Technological Evolution of Applied Behavior Analysis: From Mechanical Counters to Artificial Intelligence

The Technological Evolution of Applied Behavior Analysis: From Mechanical Counters to Artificial Intelligence belongs in serious BCBA study because it shapes whether behavior-analytic decisions stay useful once they leave a clean training example and enter documentation workflows, supervision meetings, treatment planning, and quality review. In The Technological Evolution of Applied Behavior Analysis: From Mechanical Counters to Artificial Intelligence, for this course, the practical stakes show up in faster workflow without clinical drift, privacy loss, or weak oversight, not in abstract discussion alone.

Provider: BehaviorLive — via Hoosier Association for Behavior Analysis

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Course Description

The current presentation will explore the technological evolution of Applied Behavior Analysis (ABA), from its early reliance on mechanical counters and paper records to today's digital tools and tomorrow's AI-driven innovations. We'll trace the historical progression of ABA technology, examine current state-of-the-art solutions, and speculate on future developments, particularly the potential impact of artificial intelligence and machine learning. The discussion will cover how these advancements have improved and may continue to enhance the accuracy, efficiency, and scalability of ABA interventions. However, we'll also address the challenges and ethical considerations that arise with the integration of advanced technologies in behavioral science. By analyzing the technological trajectory, the presentation aims to provoke thought on how emerging tools might reshape ABA practice, practitioner roles, and the fundamental approach to understanding and changing behavior, ultimately questioning whether these innovations will serve as a boon or potential pitfall for the science of behavior.

What You'll Learn

  1. List at least three key technological advancements in the history of Applied Behavior Analysis, from mechanical counters to current digital tools, when asked to describe the evolution of ABA technology.
  2. Given a scenario involving the implementation of AI or machine learning in ABA practice, participants will identify at least two potential benefits and two potential ethical concerns, demonstrating an understanding of the complex implications of advanced.
  3. Generate at least one specific example of how emerging technologies might reshape their own ABA practice or role, illustrating their ability to apply the concepts discussed to real-world situations.

CEU Credits Earned

Certification BodyCreditsType
BACB® 1 General
COA 1

About the Instructor

RK
Rick Kubina
PhD, BCBA-D

Dr. Rick Kubina is a Professor of special education at The Pennsylvania State University. Dr. Kubina teaches classes on reading, single-case experimental design, and educational assessment. His research explores the intersection between learning, science, and technology. Dr. Kubina has studied explicit instruction, Precision Teaching, video modeling, and robotics. He was also the co-founder of a tech company called Chartlytics. Chartlytics merged with CentralReach, where Dr. Kubina now serves as the director of research. He was the past Editor of the Journal of Precision Teaching & Celeration. Dr. Kubina works with school districts and health care and technology professionals using Precision Teaching, effective practice methods, digitization of behavioral health processes, artificial intelligence, and measurably superior learning programs.

applied behavior analysisArtificial IntelligenceAl
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Clinical Disclaimer

All behavior-analytic intervention is individualized. The information on this page is for educational purposes and does not constitute clinical advice. Treatment decisions should be informed by the best available published research, individualized assessment, and obtained with the informed consent of the client or their legal guardian. Behavior analysts are responsible for practicing within the boundaries of their competence and adhering to the BACB Ethics Code for Behavior Analysts.

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