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Gemini for Students is covered by the Google Terms of Service and should not be used for confidential or restricted data types as outlined in the PSU Information Security Policy.
Gemini for Employees is covered by the Google Workspace for Education Terms of Service and can be used for confidential or restricted data types that would otherwise be appropriate to store in Google Drive.
NotebookLM (for both students and employees) is covered by the Google Terms of Service and should not be used for confidential or restricted data types as outlined in the PSU Information Security Policy.
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Feature | Gemini for Students | Gemini for Employees 1 | Gemini Education Add-On (Employees) | Gemini Education Premium Add-On (Employees) |
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Access to Gemini | ✔️ | ✔️ | ✔️ | ✔️ |
Suitable for use with PSU confidential data |
❌ | ✔️ | ✔️ | ✔️ | |
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❌ | ✔️ | ✔️ | ✔️ | |
Integration with Google Workspace, including Gmail, Drive, and |
❌ | ❌ | ✔️ | ✔️ | |
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Access to Gems, custom AI agents for any topic |
❌ | ❌ | ✔️ | ✔️ | |
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Ability to upload non-image files and Google Drive documents |
❌ | ❌ | ✔️ | ✔️ | |
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Access to Gemini Advanced, Google’s most capable AI models widely available today |
❌ | ❌ | ✔️ | ✔️ | |
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Additional Google Meet features, such as automated note-taking | ❌ | ❌ | ❌ | ✔️ |
Additional Cost |
None | None | $192 / user / year | $288 / user / year |
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Generative AI can be a powerful tool for students when used responsibly, providing opportunities to enhance learning while maintaining academic integrity. Students should consult with their instructor and/or syllabus before utilizing Generative AI tools for academic work, to determine the level, if any, of allowed generative AI usage (for example, using generative AI to write an assignment vs. using it to generate a preliminary set of references for review). In all cases, content generated by your prompting of AI must be attributed as indicated in the Academic Misconduct Policy. . For more information on citing Generative AI, visit the PSU Library’s Citing Generative AI page.
The following sections outline recommended tools and best practices for students at Portland State University.
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Choose an AI Tool: Select a tool based on your needs. If you’re using a tool not supported by PSU, ensure that the tool provides adequate data security and privacy.
Start with Simple Prompts: Begin with simple questions or requests to understand how the tool works. For example, "Generate a summary of the main ideas from [topic]."
Test accuracy by asking AI to summarize or transform something you know well. This will give you experience evaluating Gen AI critically.
Troubleshooting & and Refinement: If a chatbot generates irrelevant or unclear content, try rephrasing your prompt or providing more context.
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These AI-driven features collectively make meetings more efficient and inclusive, reducing administrative overhead and fostering seamless collaboration across teams. See Refer to the OAI+ Zoom Companion page for more information on how to enable and use these features.
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The Gemini Education Premium Add-on offers AI-assisted features that streamline various tasks within Google Workspace, including AI-Powered Note-Taking and Summaries in Meet, which automatically generates concise summaries of meeting discussions, enabling par Anchor
These features help save time and ensure that all team members, including those who may have missed a meeting, can stay informed without the burden of manual note-taking.
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Enhancing presentations, videos, and other multimedia content
Email and inbox management management
Spreadsheets and data management
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Faculty can leverage AI to enhance their work. More resources for faculty can be found on the Artificial Intelligence at Portland State University page.
Research and Graduate Studies provides resources and guidance for research faculty on the InnovAIte Research site.
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and Learning Opportunities
Free Instructional Programs
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Artificial Intelligence (AI) is a computer system taught to mimic human intelligence using machine learning techniques.
Machine learning (ML) consists of techniques enabling computers to classify data based on human-classified training data or to autonomously identify patterns in data.
Large language models (LLMs) are machine learning models that can analyze, predict, and generate human language.
Generative AI (Gen AI) is a type of AI that focuses on creating new content – like text, images, music, audio, code, and videos – by typing in a simple prompt.