WSB Teaching, Learning & Assessment

Navigating Generative AI in Your Teaching

As generative AI continues to reshape the landscape of higher education, this resource hub is designed to move beyond a simple list of tools and instead provide a question-driven, practitioner-focused guide for your instructional journey. This page is organized to meet you at your specific point of need; whether you are establishing foundational “guardrails” for your classroom or seeking to innovate your curriculum. You will find dedicated sections for establishing clear policies and ethical frameworks, as well as practical strategies for course and assignment redesign that prioritize academic integrity and authentic assessment. By exploring these tabs, you can access curated syllabus language, “robot-proof” assessment toolkits, and frameworks for rethinking how students demonstrate their learning in an AI-augmented world.

Beyond policy and design, this site provides the technical and pedagogical support necessary to sharpen your own AI fluency. We offer a comprehensive suite of resources for mastering prompt engineering through our specialized cookbooks, alongside deep dives into feedback and evaluation strategies that can streamline your instructional workflow. You will also find a directory of specialized tools tailored for diverse disciplines, from voice generation and data synthesis to advanced research assistants. Whether you are looking to save time on administrative tasks or looking for creative ways to engage students with critical AI evaluation activities, these resources are designed to help you integrate AI with purpose and professional judgment.

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Ethics, Policy, and Privacy

Is it safe to use AI with student data? How do I write an AI policy for my syllabus? What are the rules and how do I set boundaries?
Familiarize yourself with the essential "guardrails" for AI integration, focusing on protecting student data, understanding institutional privacy standards, and maintaining academic integrity. Explore practical templates and frameworks to help you draft transparent syllabus policies and navigate the ethical complexities of using GenAI tools in your course.
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Assignment and Course Redesign

How can I prevent AI-based cheating? How do redesign assignments for an AI-integrated world?
Transition toward AI-integrated pedagogy with practical resources for course redesign. Learn how to protect academic integrity and refresh your assignments using proven frameworks and real-world examples.
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Prompt Engineering and Skill-Building

What makes a good AI prompt? Where can I find pre-made prompts for instructors? How do I actually use it effectively?
Move past simple queries to professional-grade AI interactions. These resources offer foundational frameworks and a "cookbook" of pre-tested prompts to streamline your lesson planning and course communications.
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Specialized Tools and Use Cases

What AI tools are available for research? Are there tools for creating audio or visual media What specific tools are available for my work?
Beyond ChatGPT, explore a growing toolkit of AI resources tailored to different disciplines whether you’re researching, creating audio or visual media, or finding the right tools to support your specific work.
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Assessment and Feedback

Can AI help me provide better feedback to my students? How can AI help with workload and student evaluation?
Leverage generative AI to scale personalized support by balancing efficient, automated feedback with essential "human-in-the-loop" workflows. These resources provide strategies for reducing the administrative burden of grading while ensuring students receive the timely, pedagogically sound guidance they need to grow.
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Deepen your Skills

Don’t just adapt to the changing landscape of higher education, lead it. These self-paced courses are designed to move you from foundational understanding to classroom innovation, giving you the tools to master AI on your own terms and your own schedule.

Foundations of Artificial Intelligence

Demystify the world of AI by exploring how Large Language Models (LLMs) work and how they are transforming the way we work. This introductory course provides a solid baseline for understanding AI’s strengths, limitations, and ethical uses, making it the perfect starting point for any instructor looking to build a reliable tech foundation.

Foundations of AI

This self-paced course offers a high-level look at the evolution of AI and the mechanics behind modern LLMs. You will learn to identify common AI tools, navigate their ethical implications, and begin writing effective prompts to increase the speed and depth of your daily tasks. By the end of these modules, you’ll be able to define different levels of AI and leverage its strengths to enhance your instructional workflow.
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Teach Smarter, Not Harder II: Responsible Student AI Use and Curriculum Integration

Navigate the complexities of AI in the classroom by learning how to balance innovative technology with academic rigor. This course provides the framework to guide students in responsible AI use, helping you design curriculum and assessments that treat AI as a tool for deeper learning rather than a shortcut.

Teaching Smarter, Not Harder II

Develop a clear, sustainable approach for integrating AI while safeguarding academic integrity and addressing issues like bias and overreliance. You will learn to design transparent classroom policies and create AI-enhanced projects that spark student creativity and critical thinking. By the end of this course, you will be able to redesign evaluations using authentic, process-based strategies that limit misuse and ensure your assessments remain aligned with your core teaching values.
Click Here To Self-Enroll In The Course