Dept. of Health Science - AI Faculty Training

AI faculty training plan

• Format: 3 independent blocks, 4 weeks each, 60 minutes per week

• Total Time Commitment: 4 hours of instruction per block + practice between sessions

• Delivery: Synchronous online via Zoom with a shared content area. Interactive, hands-on sessions with minimal lecture time.

• Prerequisites: Block 1 required for Blocks 2 or 3; technology experience not required

Block 1: Foundations & Core Skills

• Focus: Building Confidence with AI Tools and Core Skills

• Block Description

  • Block 1 provides the essential foundation all faculty need to use AI safely and effectively. Whether you're AI-curious or AI-skeptical, this block demystifies the technology, teaches core communication skills (prompting), and establishes critical practices for privacy and academic integrity. By the end, you'll confidently use AI for routine academic tasks while understanding its limitations.

• Main Learning Objectives

  • By completing Block 1, participants will be able to:

    • Define generative AI and distinguish its capabilities from limitations

    • Apply the 4D framework to make informed decisions about AI use

    • Write effective prompts using specificity, context, persona, and format control

    • Recognize and verify AI hallucinations and bias

    • Protect student privacy and maintain FERPA compliance

    • Apply advanced prompting techniques (few-shot learning, chain-of-thought)

    • Troubleshoot failing prompts systematically

    • Build a personal AI toolkit with reusable templates

• Weekly Session Titles & Dates

  • AI Essentials & Your First Prompts - Understanding generative AI and writing effective prompts. Dates: 1/5/2026 (dept meeting) & 1/16/2026

  • Prompting Techniques for Academic Work - Context, persona, and spotting hallucinations. Date: 1/23/2026

  • Academic Integrity & Course Policies - Understanding limitations and developing policies. Date: 1/30/2026

  • Building Your AI Toolkit - Advanced techniques and sustainable workflows. Date: 2/6/2026

• Who Should Take This Block

  • All faculty regardless of AI experience level

  • Faculty concerned about academic integrity

  • Faculty wanting to understand what students are doing with AI

  • Anyone seeking to use AI efficiently while maintaining quality

• Time Commitment

  • 4 weekly sessions × 60 minutes = 4 hours instruction

  • 30-60+ min homework per week for practice and skill building (driven by individual, not a requirement - more practice is better)

Block 2: Teaching Applications

• Transforming Your Teaching Practice

  • Primary Focus: Delegation (smart teaching task decisions) + Discernment (quality control)

  • Prerequisites: Block 1 completion + 2-4 weeks of AI practice

• Block Description

  • Block 2 shows you how to revolutionize your teaching efficiency without sacrificing quality. Learn to create comprehensive course materials, design AI-resistant assessments, provide personalized feedback at scale, and teach students to use AI responsibly. This block addresses the practical challenges of AI in education while maintaining academic integrity and your authentic teaching voice.

• Main Learning Objectives

  • By completing Block 2, participants will be able to:

    • Develop comprehensive AI policies that teach students the 4D framework

    • Generate learning objectives, syllabi, and lesson plans efficiently with AI

    • Create diverse instructional materials (case studies, examples, assessments)

    • Design AI-resistant assessments that emphasize process and higher-order thinking

    • Provide personalized feedback at scale while maintaining teaching voice

    • Build interactive learning activities powered by AI

    • Create personalized learning pathways for diverse student needs

    • Integrate AI literacy throughout semester-long courses

    • Implement sustainable AI-enhanced teaching practices

• Weekly Session Titles

  • Academic Integrity & Course Policies Deep Dive - Teaching students the 4Ds and handling violations. Date: 2/13/2026

  • Curriculum Design & Assignment Creation - Generating course materials and content at scale. Date: 2/20/2026

  • Assessment & Feedback at Scale - Creating assessments and providing personalized feedback. Date: 2/27/2026

  • Student Engagement & Course Integration - Interactive activities and semester planning. Date: 3/6/2026

• Who Should Take This Block

  • Faculty who completed Block 1

  • Instructors seeking to save time without compromising quality

  • Educators concerned about maintaining academic integrity

  • Faculty wanting to create more engaging, personalized learning experiences

• Time Commitment

  • 4 weekly sessions × 60 minutes = 4 hours instruction

  • 30-60+ min homework per week for practice and skill building (driven by individual - more is better)

  • Ongoing: Apply learning in current teaching

Block 3: Research Applications

• Accelerating Your Scholarly Work

  • Primary Focus: Discernment (critical evaluation) + Diligence (scholarly integrity)

  • Prerequisites: Block 1 completion + ongoing AI use in professional work

• Block Description

  • Block 3 transforms your research workflow from literature review through publication. Learn to conduct comprehensive literature searches, design rigorous studies, analyze data efficiently, and write scholarly prose—all while maintaining the highest standards of academic integrity. This block emphasizes verification protocols and ethical research practices that protect your reputation and advance your field.

• Main Learning Objectives

  • By completing Block 3, participants will be able to:

    • Conduct efficient, comprehensive literature reviews using AI tools

    • Synthesize research across large bodies of literature while verifying accuracy

    • Generate and refine research questions through AI brainstorming

    • Design methodologically sound studies with AI consultation

    • Generate and debug analysis code for statistical procedures

    • Interpret results with AI assistance while maintaining expert judgment

    • Draft academic prose efficiently while preserving scholarly voice

    • Verify all citations and avoid plagiarism

    • Develop compelling grant proposals with AI support

    • Build sustainable, ethical AI research practices

• Weekly Session Titles

  • Literature Review & Research Discovery - Search strategies, synthesis, and specialized research tools. Date: 3/20/2026

  • Research Design & Methodology Support - Developing questions, designing studies, and planning research. Date: 3/27/2026

  • Data Analysis & Academic Writing - Coding assistance, writing workflows, and maintaining voice. Date: 4/3/2026

  • Grant Writing & Future Planning - Proposal development and sustainable research practice. Date: 4/10/2026

• Who Should Take This Block

  • Faculty who completed Block 1

  • Researchers at all career stages

  • Faculty preparing grant proposals

  • Scholars with active research programs

  • Graduate students and postdocs (with permission)

• Time Commitment

  • 4 weekly sessions × 60 minutes = 4 hours instruction

  • 30-60+ min homework per week for practice and skill building (driven by individual - more is better)

  • Ongoing: Integrate into active or potential research projects