Collections

This collection of resources offers insights on fostering responsible AI integration into your course, while emphasizing the importance of communication and upholding academic integrity in the evolving landscape of AI in education.

Here you'll find a collection of the resources we've been sharing at UVA Darden School of Business to learn more about generative AI (GenAI) and its impact on our MBA curriculum and instruction.

What should you, your colleagues, and your students be mindful of as you engage with generative AI like ChatGPT? This collection provides an overview of a variety of ethical considerations for AI.

Generative artificial intelligence (AI) has sparked renewed concern about academic integrity.  Here, we recommend resources to help you consider ways to promote academic integrity in your courses, whether you choose to encourage or discourage the use of AI.

While generative AI is not new, the introduction of ChatGPT has instructors feeling a wide range of emotions. What are some practical steps you can take now to prepare for teaching in this changing landscape? Check out these resources for some concrete strategies that you can put into action now.

Instructors and students alike must learn how to navigate the use of generative artificial intelligence (AI) in teaching and learning. Setting clear expectations is essential. Here we recommend resources to help you communicate about AI with your students.

Writing is at the core of every discipline and profession. Generative AI stands to redefine how we write and what counts as writing, while also challenging how we teach, assign, and assess writing. The following resources provide suggestions for any instructor who assigns writing in their courses.

This collection offers advice to deepen your understanding of AI and program it to your advantage. It features a variety of resources to help you develop and apply more advanced AI skills, from ChatGPT Plus, Medium, and DeepLearning.AI to OpenAI Playground, OpenAI API Reference, and Hugging Face.

Generative AI can both help and hinder instructors and students of statistics. This collection presents a framework for considering how we might use AI in classroom activities, a call for healthy skepticism, and examples of using AI to start and iterate on a programming task.

This collection highlights how AI and ChatGPT can be used to develop classroom assessments. The resources provide suggestions for using AI to develop (1) low-stakes formative assessments for gauging learning, and (2) summative assessments used for evaluating students' mastery of course content.

Generative AI can provide nursing educators with customized simulations and scenario-based learning activities that mimic the unpredictability of actual clinical environments, enhancing students' practical skills. Here, we recommend resources to help nursing educators use generative AI.

To leverage the power of generative artificial intelligence (AI) for teaching and learning—and minimize negative impacts—it is important to understand how generative AI tools work. Here, we recommend some of the more accessible resources to help get you up to speed.

Discussions are a staple of interactive teaching, but they require careful planning and intentionality to support learning. Explore how to set discussion goals, develop questions that inspire energetic conversation, and show students how to contribute productively to class discussions.

The Reflective Teaching Statement (RTS) is a short reflective essay that describes an instructor's teaching philosophy, learning objectives, instructional methods, and learning and engagement strategies. This collection contains various resources, from helping you get started writing one to examples from different disciplines.

This collection introduces you to the principles of a trauma-informed teaching approach.

What should I say and do with my students in the days after a tragedy? This collection provides practical guidance for instructors teaching in the immediate aftermath of a traumatic event, disaster, or crisis.

Though student evaluations of teaching are confounded by biases, research suggests well-designed and tested evaluation surveys can give you useful data that can help you improve your teaching, particularly when combined with other means of assessment.

Looking for new or creative ways to actively engage students in and out of class? Regardless of your discipline, preferred instructional strategy, or instructional modality, you’ll find these to be some of the most valuable resources in your teaching toolkit.

Soliciting feedback from students before the end of semester is a great way to find out what’s working (and what’s not) while there is still time to make adjustments to your teaching. These resources cover the reasons for and different approaches to collecting midterm feedback.

Dive into the different aspects of giving feedback, from the stylistic and procedural components to what and how much to comment on in student writing.