An Innovative AI CoPilot for Enhancing RBT Retention and Support in ABA Practice is the kind of topic that looks straightforward until it collides with the speed, ambiguity, and competing demands of documentation workflows, supervision meetings, treatment planning, and quality review. In An Innovative AI CoPilot for Enhancing RBT Retention and Support in ABA Practice, 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 Behavior Analysis Association of Michigan
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Join Free →This session will present findings from a descriptive study of Care CoPilot, an AI powered chatbot designed to support behavior technicians and BCBA supervisors in Applied Behavior Analysis. Our preliminary investigation, conducted across multiple locations, provides initial insights into this innovative system and its potential impact on staff efficiency, productivity, and retention. We will detail the implementation of Care CoPilot in our pilot study, including the chatbot's functionality and initial integration into direct care staff workflows, preliminary usage patterns observed across different cohorts of Behavior Technicians, initial social validity measures and user feedback, and exploratory comparison of retention rates between Care CoPilot users and a control group. Our presentation will showcase baseline data on staff retention and support challenges, followed by preliminary intervention data demonstrating the initial effects of Care CoPilot implementation. We will discuss how an AI co-pilot might address common issues in ABA practice, such as immediate access to information, consistent support, and enhanced training reinforcement. The session will conclude with an analysis of the system's potential to transform BT support and training structures, limitations of the pilot study, and future research directions. We aim to provide attendees with a technical understanding of how AI chat companions might be responsibly integrated into ABA practice to address persistent challenges in the field, while emphasizing the need for further, more comprehensive studies.
| Certification Body | Credits | Type |
|---|---|---|
| BACB® | 1 | General |
| COA | 1 | — |
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.
Dig into the research behind this topic — plain-English summaries written for BCBAs.
279 research articles with practitioner takeaways
252 research articles with practitioner takeaways
239 research articles with practitioner takeaways
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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.