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Presenter(s): Charlette M Green, CAGS, MA, CCC-SLP, BCS-CL; Christina D Bradburn, MS, CCC-SLP
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: Working as a school-based SLP is exciting and rewarding-when you understand your role! This on demand webinar provides SLPs who are new to the school setting with effective practices, resources, and an introduction to the Individuals with Disabilities Education Act (IDEA). The speakers share practical strategies to support a workload approach to services, helping you balance the work you are given with the time you have. The webinar includes tips for scheduling your days and tracking your work for maximum impact, creative service delivery models, specific intervention ideas to take back and use immediately with students, and tips for advocating for a realistic and manageable workload.
Presenter(s): Terry J Ragan, MA, CCC-SLP
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: SLPs charged with delivering collaborative services in elementary, middle, and high schools face a variety of considerations. You may have questions like, how do I find consensus and shared goals? How can I find time for shared planning and execution? How do I overcome barriers to collaborative practice? This introductory-level on-demand webinar reviews practical resources, strategies, and evidence-based practices for collaborative service delivery.
Presenter(s): Kellyn Dailey Hall, PhD, CCC-SLP; Sarah Marie Bishop, MA, CCC-SLP; Maribeth Plankers, MS CCC-SLP; Leslie W Johnson, PhD, CCC-SLP
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: This course offers a comprehensive introduction to artificial intelligence (AI) for school-based SLPs. You will explore foundational concepts, practical applications for school settings, and ethical decision-making frameworks aligned with ASHA's Code of Ethics. You'll walk through case studies and demonstrations that highlight strategies to incorporate AI tools for lesson planning, data collection, and workload management. At the same time, you'll learn to critically evaluate the limitations and considerations for using AI, including ensuring privacy, recognizing bias, and maintaining the central role of clinical judgment. By the end of the course, you will be prepared to integrate AI into your practice responsibly and effectively to enhance student outcomes and workload management.