Collections

Shortly after OpenAI released ChatGPT to the public, Stephen Marche rang the death knell for the college essay. Is the essay as a genre actually dead, and if so, what will we, as instructors, create in its aftermath? This collection explores possible ways to revive and reimagine the essay for the 21st-century classroom. 

Generative artificial intelligence has made longstanding questions about academic integrity more urgent and complex. How does genAI change our understanding of plagiarism? What can or should instructors do to motivate students to complete graded assignments without unauthorized assistance?

Discover how compassionate online course design can help you put flexibility, peer support, and motivation at the heart of the online learning experience.

Do you find that your course learning objectives don't fully capture the goals you and your students have for their learning and development? This collection points to a variety of frameworks for developing more holistic learning, where the humanity of our students is at the center.

What role might generative AI play in helping students meet the learning goals we have for them? This collection features concrete examples of assignments that thoughtfully integrate AI to support student learning.

This collection explores a digital media project in a general chemistry course. Included are the assignment description, a sample student project, and resources to support students' work and instructor assessment efforts. Be sure to read the annotations on the linked files.

This collection presents guidelines, frameworks, and concrete examples of Open Pedagogy assignments to get you started.

Generative AI (GenAI) is already changing the landscape of writing courses in multiple ways. The following resources collectively advocate for a thoughtful integration of GenAI, ensuring your students are well-equipped to harness its benefits ethically and effectively.

High structure course design improves student outcomes via scaffolding students through the learning process with pre-class content acquisition and formative assessment, in-class active learning and problem solving, after-class review and formative assessment, and frequent summative assessment.

This collection of resources will give you ideas and strategies to use within your instructional practice as you welcome students to their online classes. Many of the resources can be applied to in-person courses that use a learning management system.

There is much value in the traditional essay, but it’s not always the only, or even the best way to accomplish our teaching goals. Recently, instructors have been experimenting with a wide range of alternatives to the take-home essay, a process that the advent of generative AI has only accelerated.

This collection compiles course materials developed by UVA School of Engineering and Applied Sciences faculty to teach students how to use generative AI for engineering design and analysis. Any examples of student work are shared with students' permission.

Assessment possibilities abound within the current generative artificial intelligence (GenAI) landscape. Here, we share resources highlighting how you might lean into GenAI and leverage it in your assignments.

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.

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.

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.

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.

The introductory video to this collection highlights the purposes behind developing transparent assignments, including increases to educational equity. The remaining resources help you get started and offer you concrete ways to continue to improve the transparency of your assignments.