AI resources for the IU community
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New ways of working with AI are being applied at IU every day. Share your feedback about resources and tools.
AI tools for teaching, learning, and work
Artificial intelligence is already being used across IU to support teaching, learning, research and operations. The initiatives and resources featured here provide a current view of AI-related work across teaching, learning, research, and operations, helping members of the IU community discover resources, tools, and examples relevant to their roles and interests.
This section will continue to grow as new efforts emerge and existing work evolves.
Currently available AI tools
- Advanced Image Generation Adobe Firefly
- Text, Images, & GPTs ChatGPT Edu
- Chat bots for IU teams Chat AIU
- Text, Images, & Gems Google Gemini
- Studying & Research Google NotebookLM
- Chat Microsoft 365 Copilot
- Research LLM Tools REALLMS
Dive in! Learn how to write a very good prompt and keep iterating until you have exactly what you need.
Resources for the whole IU community
The AI Academy Hub is a public IU site that consolidates AI learning, training, and event resources.
Explore additional resources below to learn about how IU is teaching AI effectively and responsibly across the university to specific audiences.
Faculty can use AI to develop course content, generate assignment ideas, draft student feedback and design interactive learning experiences such as simulations or case studies, enabling innovation while saving time.
Teaching.IU’s section on GenAI: Gives brief overview of GenAI, examples of its use in teaching, guidance about relevant university policies and how faculty can develop a strong course policy about GenAI use.
Generative AI: an ethics of practice: A collection of practical strategies for how faculty may want to talk about GenAI in their classes, including examples of AI syllabus statements.
IU-created Generative AI in the classroom Canvas course: Basic AI literacy for instructors, responsible use guidelines, and tips for building assignments and assessments with GenAI in mind.
IU-created GenAI essentials: practical AI skills across disciplines Canvas modules: Integrate generative AI into courses with these easy-to-use Canvas modules, covering topics like Prompt Engineering, Ethics and Limitations of GenAI, Studying and Learning with GenAI, and more. Faculty can also assign students to take these modules directly through IU Expand, where they can earn digital badges.
LinkedIn Learning's teaching, learning, and research collection: Learn how to enhance teaching and learning with Microsoft Copilot and to use GenAI tools to improve research productivity.
Staff can leverage AI to compose emails, create meeting summaries and reports, generate ideas and enhance research productivity and collaboration.
LinkedIn Learning's enhancing productivity collection: Learn how to use Microsoft Copilot as a productivity tool, how AI can improve your presentation and communication skills, and more.
LinkedIn Learning's GenAI for leaders collection: Learn how to use GenAI not only to improve productivity but also to aid in strategic thinking, data analysis, decision-making, and other tasks relevant to administrators and leaders.
Students can use AI to summarize complex information, generate practice questions and explore real-world scenarios to deepen understanding, while always following course policies and consulting instructors about appropriate use.
IU-created GenAI essential skills online course: Learn practical skills like Prompt Engineering, Ethics and Limitations of GenAI, Studying and Learning with GenAI, and more. Earn a digital badge for completion of each module.
Learning.IU - Learn with AI: Explore ideas for using GenAI in your studies, learn about principles that can guide academic use of AI, and see examples of how faculty members may talk about AI use in their classes.
LinkedIn Learning's GenAI for students collection: Learn how to use GenAI responsibly with this collection of resources, covering everything from improving your writing and summarizing complex information to exploring multiple perspectives and conducting thought experiments.