We found 52 results that contain "tools"
Posted on: #iteachmsu
Posted by
over 4 years ago
What tools and resources have you found particularly helpful the past year (during the COVID19 pandemic and transition to remote teaching and learnings)? Let us know in the comments below! (links encouraged)
Navigating Context
Posted on: #iteachmsu
Posted by
over 4 years ago
What tools or strategies do you use to help your students feel a sense of community and belonging?
Pedagogical Design
Posted on: #iteachmsu
Posted by
over 4 years ago
Q/A - please respond to the question in the comments below!
What technology tools have you used in your work that you think others should know about? (Please share links to more information if you have it!)
What technology tools have you used in your work that you think others should know about? (Please share links to more information if you have it!)
Posted on: #iteachmsu
Posted by
over 4 years ago
Q/A - please respond to the question in the comments below!
What technology tools have you used in your work that you think others should know about? (Please share links to more information if you have it!)
What technology tools have you used in your work that you think others should know about? (Please share links to more information if you have it!)
Posted on: Power Automate/Apps Users
Posted by
over 1 year ago
Posted on: GenAI & Education
Posted by
8 months ago
Interim Guidance on Data Uses and Risks of Generative AI
(source site https://tech.msu.edu/about/guidelines-policies/generative-ai/)
Generative artificial intelligence (AI) language models, including products like ChatGPT and Bard, are powerful tools that can assist with various tasks from teaching and learning, to writing support, to data analysis. No generative AI product currently has a formal agreement with Michigan State University, but users looking for a generative AI tool can find a list of IT approved software for individual use here. Note that any use of generative AI tools must adhere to this interim guidance. Users who choose to use these publicly available generative AI tools should understand the potential risks and limitations associated with publicly available versions of them. This interim guidance outlines recommendations regarding the types of data that may and may not be entered into consumer or commercial generative AI products, with specific considerations for higher education, MSU policies, and institutional needs. It also offers an overview of limitations to be aware of when using generative AI and offers some current best practices for working with these tools.
Further guidance regarding more specific needs like handling generative AI in teaching and learning activities, selecting and adopting AI tools, creating sample syllabus language, and more will follow in the coming months as MSU continues to explore how most effectively to leverage these new tools in a way that meets the university’s needs while keeping our data and users safe.
Check out more on Generative AI from Technology at MSU here https://tech.msu.edu/about/guidelines-policies/generative-ai/ link
(source site https://tech.msu.edu/about/guidelines-policies/generative-ai/)
Generative artificial intelligence (AI) language models, including products like ChatGPT and Bard, are powerful tools that can assist with various tasks from teaching and learning, to writing support, to data analysis. No generative AI product currently has a formal agreement with Michigan State University, but users looking for a generative AI tool can find a list of IT approved software for individual use here. Note that any use of generative AI tools must adhere to this interim guidance. Users who choose to use these publicly available generative AI tools should understand the potential risks and limitations associated with publicly available versions of them. This interim guidance outlines recommendations regarding the types of data that may and may not be entered into consumer or commercial generative AI products, with specific considerations for higher education, MSU policies, and institutional needs. It also offers an overview of limitations to be aware of when using generative AI and offers some current best practices for working with these tools.
Further guidance regarding more specific needs like handling generative AI in teaching and learning activities, selecting and adopting AI tools, creating sample syllabus language, and more will follow in the coming months as MSU continues to explore how most effectively to leverage these new tools in a way that meets the university’s needs while keeping our data and users safe.
Check out more on Generative AI from Technology at MSU here https://tech.msu.edu/about/guidelines-policies/generative-ai/ link