Generative AI in Teaching and Learning: Tools

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Please feel free to contact the CTL with feedback, questions, and suggested resources around generative AI for teaching and learning.

 

Technology Tools and Platforms


Note on GenAI Tools: UT's Information Security Office specifies the acceptable use of generative AI tools on campus. If you have questions about the acceptable use of generative AI in your classroom, please reach out to the Office of Academic Technology. In addition, any GenAI tool that may require Canvas integration must be vetted and approved by the Information Security Office at UT. Please review the UT Canvas Apps page for more information and guidance. 

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Below is a selection of the commonly used and available generative AI tools. Please use these tools in your classrooms after careful exploration of their availability.

NOTE: As of Spring 2024, Microsoft Copilot has been explicitly adopted for use at the university. Using these tools is up to the discretion of the faculty or instructor.


Note on GenAI Tools: UT's Information Security Office specifies the acceptable use of generative AI tools on campus. If you have questions about the acceptable use of generative AI in your classroom, please reach out to the Office of Academic Technology. In addition, any GenAI tool that may require Canvas integration must be vetted and approved by the Information Security Office at UT. Please review the UT Canvas Apps page for more information and guidance.

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The most intuitive and exciting developments in higher education center on the use of generative AI tools in creative disciplines. As with the General AI tools, please use these tools in your classrooms after careful exploration of their availability.

According to an October 2022 Harvard Business Review article, "generative models are potentially valuable across a number of business functions, but marketing applications are perhaps the most common. Jasper, for example, a marketing-focused version of GPT-3, can produce blogs, social media posts, web copy, sales emails, ads, and other types of customer-facing content." This piece details the professional developments for marketing and creative work and the kinds of pressure that evolutions in technology geared towards production will exert on those seeking to enter into these industries. 

Moreso than skill development leading towards exhibiting or performance, the creative use of generative AI tools leans into the built-in features of these tools: social learning. Inspiration, invention, timely feedback and rating, working with real-world audiences with shared passions are not bugs but features of a technology-enhanced zone of proximal development.

According to the "Statement on Artificial Intelligence (AI) Tools in Art & Design Courses" at UT-Austin, while the majority of concerns in higher education focus on the generation of text through generative AI tools, generated content can take many different forms such as text, code, photography, video, animation, music, vocals/voiceover, illustration, painting (in nearly any digital or traditional style), 3D objects and environments, concept art, graphic design, logos, web and app interfaces, design sketches, architectural renderings, diagrams, etc.

Because generative AI extends beyond text content, instructors and students need ways to think and talk about tools beyond ChatGPT and GPT-4. One helpful way to contextualize generative AI tools is to think about content input and output. Below are examples of content in and content out categories with associated tools available at the time of writing.


Input/Output Format

Tool

Text In, Image OutDALL-E (version updating), Midjourney, Stable Diffusion
Image In, Text OutGPT-4, BLIP
Text In, Video Out RunwayML, Deforum, OpenAI Sora
Multimedia In, Image OutMidjourney, Stable Diffusion, Deforum
Parameters In, Audio (Music) OutBoomy, AIVA

Thus, in the language of the Art & Design statement, "creative studies often involve iterative processes that include research, drafts or prototypes, feedback, revision, and critique. Instructors can encourage the use of generative AI in selected segments of the creative process, while also requiring human feedback and critique. To clearly incorporate generative AI into the creative process, we recommend instructors require students to create process documents that record and assess the use of AI tools throughout the production of their creative works. These process documents should chronicle the steps of finding, selecting, using, making, and transforming. They can also include citations for traditional and AI-generated sources."


References

Davenport, T. H. (2023, August 15). How generative AI is changing creative work. Harvard Business Review. https://hbr.org/2022/11/how-generative-ai-is-changing-creative-work 
 
Morgan, D., Skaggs, P. (2016). Collaboration in the zone of proximal development. In International Conferences on Engineering and Product Design [Conference-proceeding]. https://www.designsociety.org/download-publication/39141/COLLABORATION+IN+THE+ZONE+OF+PROXIMAL+DEVELOPMENT 

Note on GenAI Tools: UT's Information Security Office specifies the acceptable use of generative AI tools on campus. If you have questions about the acceptable use of generative AI in your classroom, please reach out to the Office of Academic Technology. In addition, any GenAI tool that may require Canvas integration must be vetted and approved by the Information Security Office at UT. Please review the UT Canvas Apps page for more information and guidance.

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The following list (updated July 2024) contains links to several free or paid generative AI tools for specific purposes. 

New tools with these capabilities are emerging constantly, so please use these or similar tools in your classrooms after careful exploration of their availability and their ethics of use and content generation.

 Mathematics
  • Julius
  • Mathway
  • Desmos: A graphing calculator tool with interactive features for teaching math concepts.
  • Wolfram Alpha: A computational knowledge engine that can help solve math problems and provide step-by-step solutions.
  • Photomath: An app that uses AI to scan and solve handwritten or printed math problems.
Language and Composition
  • Grammarly: An AI-powered writing assistant for grammar and style suggestions.
  • Hemingway Editor: Analyzes and simplifies text to improve readability.
  • Readable: Analyzes text for readability, grading content by reading level.
STEM fields
  • Mindjoy: A curated set of AI-informed STEM tutorials and simulations
  • Labster: Virtual labs 
  • Zooniverse: Citizen science platform where students can participate in real research projects.
  • Google, AutoML Vision
  • ClimateGPT: A custom, open model that allows instructors and students to explore environmental issues from a curated set of research articles and data
Computer Science / Coding
  • Tabnine: AI coding assistant that uses OpenAI Codex 
  • Codecademy: An interactive platform for learning coding and programming.
  • GitHub Copilot: An AI-powered code completion and suggestion tool for developers and students.
  • What the Diff: AI tool for reviewing code and creating documentation
Art, Graphic Design, Creative Industies

References 

Marr, B. (2024, July 2). The top generative AI tools for art and design. Forbes. https://www.forbes.com/sites/bernardmarr/2024/05/09/the-top-generative-ai-tools-for-art-and-design/ 

Guinness, H. (n.d.). 11 generative AI programming tools for developers. LeadDev. https://leaddev.com/tech/11-generative-ai-programming-tools-developers 

Research Guides: Artificial Intelligence (AI) : Additional AI Tools by Discipline. (n.d.). https://libguides.pima.edu/c.php?g=1360001&p=10043370 

Speed, R. (n.d.). The 6 biggest generative AI risks for developers. LeadDev. https://leaddev.com/tech/6-biggest-generative-ai-risks-developers 

Top 10 math AI tools. (n.d.). https://julius.ai/articles/top-10-math-ai-tools 

GenAI CTL Workshops

Image of a brain made from code
Event Status
Scheduled
Thursday February 20, 2025, 11:00 am - 12:00 pm
Online
In this workshop, participants will be introduced to approaches to designing prompts for interactions with various generative AI tools in teaching, learning, and research contexts.
Person working at a computer at sunrise
Event Status
Scheduled
Tuesday March 4, 2025, 9:30 am - 11:00 am
Online
In this two-part workshop, we will discuss strategies for mindfully implementing AI as a teaching tool and managing students' use of AI as they complete course assessments and assignments.
Person working at a computer at sunrise
Event Status
Scheduled
Tuesday March 11, 2025, 9:30 am - 11:00 am
Online
In this two-part workshop, we will discuss strategies for mindfully implementing AI as a teaching tool and managing students' use of AI as they complete course assessments and assignments.
View all Events