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Implementation Guidelines For Faculty

As generative AI becomes an integral part of education, faculty must navigate its use effectively to enhance teaching while maintaining academic integrity and clinical rigor. Below are practical guidelines and resources for incorporating AI into Communication Sciences and Disorders (CSD) education.

 

Sample Syllabus Statements on Appropriate AI Use

Clearly defining AI policies in course syllabi helps set expectations for students and ensures transparency in its use for academic and clinical work.

✔ Example 1: Permissive AI Use with Attribution
"Students may use AI tools such as ChatGPT for brainstorming, drafting, or summarizing course material. However, all AI-generated content must be critically reviewed, edited, and properly attributed. Misuse of AI (e.g., submitting unedited AI-generated work as one’s own) will be considered a violation of academic integrity policies."

✔ Example 2: Limited AI Use for Specific Assignments
"AI tools may be used for literature review assistance and generating study outlines but are not permitted for clinical documentation, SOAP notes, or diagnostic reports. If AI is used for approved tasks, students must document how it was utilized in an appendix or footnote."

✔ Example 3: Prohibited AI Use
"All coursework and assignments must be the original work of the student. The use of AI-generated content in written assignments, discussions, or exams is strictly prohibited unless explicitly allowed by the instructor."

Institutions should tailor these statements based on their policies and the learning objectives of each course.

 

Prompt Engineering Techniques for Educational Purposes

AI's effectiveness depends on how prompts are structured. Faculty can guide students in developing precise and structured prompts to get high-quality, relevant responses.

✔ Designing Effective Prompts

  • Use specific, detailed instructions (e.g., "Generate a SOAP note for a 5-year-old with phonological disorder, following ASHA guidelines.").
  • Ask for step-by-step explanations to promote deeper learning (e.g., "Explain how AI can assist in generating phonemic awareness exercises and provide examples.").
  • Request different perspectives to encourage critical thinking (e.g., "Compare the use of AI in clinical documentation from an SLP and an ethics perspective.").

✔ AI in Teaching Activities

  • Case Study Generation: "Create a pediatric case study with speech delay symptoms, including a family history component."
  • Role-Playing Scenarios: "Simulate a patient interaction where an SLP explains an aphasia diagnosis to a caregiver."
  • Assessment Practice: "Generate multiple-choice questions about speech sound disorders at varying difficulty levels."

Faculty can incorporate prompt refinement exercises into courses to help students learn how to critically engage with AI-generated outputs.


Assessment Design Considerations in the AI Era

To maintain academic integrity and encourage deeper learning, faculty should design assessments that require students to think critically and engage with AI as a tool rather than a shortcut.

✔ AI-Resistant Assessment Strategies

  • Oral Presentations & Live Demonstrations: Require students to present findings or perform clinical analyses in real-time.
  • Process-Oriented Assignments: Have students submit drafts and reflections on their thought processes before the final submission.
  • AI Comparison Tasks: Ask students to compare AI-generated and human-generated responses to highlight limitations and strengths.
  • Experiential Learning: Emphasize hands-on clinical training and problem-solving activities that require direct application of knowledge.

✔ AI-Inclusive Assessment Strategies

  • Critical Evaluation of AI Outputs: Require students to analyze, edit, and justify modifications to AI-generated materials.
  • AI-Assisted Research: Allow students to use AI for brainstorming research questions but require them to refine and validate findings.
  • Reflective Assignments: Ask students to document how they used AI and assess its usefulness, limitations, and ethical implications.

These approaches reduce the risk of AI misuse while leveraging its benefits to enhance student learning.

 

Professional Development Resources and Workshops

Faculty must stay informed about AI advancements, best practices, and ethical considerations. Institutions should provide ongoing training and resources to help educators effectively integrate AI into teaching and research.

✔ Recommended Professional Development Opportunities

  • Workshops on AI in CSD Education: Covering responsible AI use, prompt engineering, and curriculum integration.
  • Webinars on AI & Clinical Training: Exploring how AI can assist in clinical supervision and assessment.
  • Hands-On AI Labs: Sessions where faculty practice using AI tools for lesson planning and case study development.
  • Interdisciplinary Collaboration Forums: Connecting CSD faculty with AI experts to explore best practices.

✔ Key Resources for Faculty

By engaging in professional development, faculty can effectively integrate AI into their teaching while maintaining academic rigor and ethical responsibility.

 

Updated November 2025

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