This session is part of two comprehensive series:
Therapies in the School 25th Annual Conference PROGRAM B – ON-DEMAND 11
and
Therapies in the School 25th Annual Conference 2024 – ON-DEMAND 11
OR, PURCHASE THIS ON-DEMAND COURSE SEPARATELY
Download the Brochure for complete course details
COURSE DESCRIPTION
Discover the potential for Artificial Intelligence (AI) to enhance your practice. Learn about the development and types of AI while considering possible applications, benefits, and challenges in implementing AI in school-based therapy services. Examine ethical and legal considerations involved in implementing these technologies, such as data privacy, bias, and the overall impact on student well-being. Expand your knowledge to utilize AI effectively in your school-based practice!
LEARNING OBJECTIVES
- Determine the differences between supervised and unsupervised AI.
- Select the most suitable AI applications for enhancing therapeutic practices in school-based settings.
- Recognize an impact of AI tools on student outcomes and therapy efficiency when using AI to enhance school-based services.
- Apply knowledge of ethical principles to modify the implementation of AI tools in school-based settings, ensuring alignment with best practices for data privacy, bias mitigation, and student well-being.
AUDIENCE
School-Based Therapists
COURSE SCHEDULE
I. What is Artificial Intelligence?
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- Relevance and potential benefits for education settings.
II. Some of the Nuts and Bolts
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- Narrow vs. General AI
- Machine Learning
- Supervised and Unsupervised Learning
- How it works: From Data Collection Through Algorithm Selection and the Feedback Loop
III. How is AI already impacting therapy in education and healthcare settings?
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- Personalized learning, automation of administrative tasks, data-driven insights, diagnostics, treatment personalization, and client management?
IV. Exploring the Benefits and Challenges for AI for School-Based Practice
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- AI Assisted
– diagnosis and treatment planning
– assistive technologies
- AI-driven data analytics for student progress, documentation and research
- AI-enabled virtual therapists
- Benefits
– Personalization
– Efficiency
– Accuracy
– Consistency
- Challenges
– Digital Competence
– Funding and Equipment
– Errors
V. Ethical Considerations
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- Privacy and data security concerns
- Bias and fairness in AI algorithms
- Transparency and accountability of AI systems
- Consent and Autonomy
- Impact on job roles and responsibilities
VI. Legal Considerations
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- Compliance with Educational Laws
- Liability Issues
VII. Future Directions and Resources for Implementation
VIII. Post-Test
Addie Segal, OTD, OTR/L, has practiced in clinical settings ranging from a rehabilitation center for veterans with traumatic brain injuries to home-health OT. Dr. Segal’s current research addresses technology trends among occupational therapists. She is an adjunct faculty member in Kean University’s Occupational Therapy Community Cares Clinic and previously served as a mentor for students from underrepresented groups in Duke University’s entry-level OTD program. Prior to her OT career, she served in the military as a tank instructor, managing courses for combat soldiers and training courses for instructors. She graduated from both the Hebrew University of Jerusalem and Boston University for her OT training.
Addie Segal receives an honorarium from Education Resources.
Addie Segal has no relevant nonfinancial relationships to disclose.
Once you purchase an online course you will have access to the course materials. If you have purchased this course, please ensure you have logged in to your account in order to take the exam.
Once you purchase an online course, you will have the opportunity to take an exam to test your retention of the material. If you have purchased this course, please ensure you have logged in to your account in order to take the exam. The exam must be completed with a pass rate of 80% or more in order to receive your certificate of attendance.
