Florida State University opened Google Days on October 7 with hands-on Gemini AI workshops focused on process-based assessment, research, instructional design, and AI literacy.
Editorial Note
Google Days is a university professional-development and technology event rather than a new Florida education law, statewide AI mandate, or requirement that faculty use Gemini.
Florida State announced the event before October 7, but the development covered here is the actual opening of the two-day event on October 7, including faculty workshops beginning at 9 a.m.
New To Education has previously covered broader AI-readiness and university-AI topics. This article intentionally targets a narrower search intent: Florida State faculty AI training, Gemini, process-based assessment, and research workflow design.
Florida State University opened Google Days on October 7 with workshops and demonstrations showing students, faculty, and staff how Google’s Gemini tools can be used in teaching, research, and academic work.
The first-day faculty sessions were unusually specific. Rather than focusing only on basic prompt writing, workshops addressed process-based assessment and the use of Gemini’s Deep Research functionality for literature searches, inquiry planning, and research workflows.
Bottom Line
Google Days runs October 7–8 at FSU, with demonstrations on the Student Union Green and faculty workshops connected with the Innovation Hub.
The October 7 schedule includes workshops on designing process-based assessments and using Gemini’s Deep Research capabilities for inquiry planning.
Participants can also pursue digital badges through Google’s AI Educator Series. The event shows FSU moving beyond simply providing access to generative AI and toward training people to incorporate the technology into academic workflows.
What Happened
Google specialists arrived on campus for the two-day event beginning October 7. The campus tent provides demonstrations involving Gemini for Google Workspace and Gemini Notebook, while structured workshops offer more formal professional development.
At 10 a.m., the Teaching & Learning session focuses on creating process-based assessments with Gemini. FSU describes the approach as using AI as a creative partner while protecting authentic student voice and critical thinking.
At 11 a.m., an Accelerate Research session focuses on planning inquiry using Deep Research, including literature searches and synthesis of cited research. Both workshops repeat during the afternoon.
What This Means
Universities are moving from the first stage of generative-AI adoption—deciding whether these tools should be used at all—into a more difficult second stage.
Institutions now need to determine which uses strengthen learning, which uses weaken it, and how faculty can design assessments that still provide meaningful evidence of student thinking.
Process-based assessment is one response to that problem. Instead of grading only a polished final product, an instructor can examine planning, drafts, source evaluation, revisions, reflection, oral explanation, and other evidence showing how the student reached the result.
Who This Affects
Faculty members are the most direct audience because assignment design has become increasingly important as generative AI makes it easier to produce polished text, summaries, code, research-style material, and presentations.
Students are equally affected because unclear AI expectations can create confusion. A course in which one professor encourages AI-supported brainstorming while another prohibits the same behavior requires students to understand context rather than assume one rule applies everywhere.
Researchers and graduate students also have an interest because Deep Research-style tools are increasingly entering literature review and information-discovery workflows.
Why Process-Based Assessment Matters
Generative AI creates an evidence problem for education. When a student submits a polished essay, presentation, or analysis, the final product may no longer reveal how much of the reasoning occurred in the student’s own mind.
Process-based assessment attempts to recover some of that evidence by making the pathway visible.
The approach can include checkpoints, drafts, annotated sources, oral defenses, practical demonstrations, revision histories, and reflection so evaluation focuses on learning rather than only the appearance of a finished product.
That model will not fit every assignment. It can, however, reduce the temptation to treat every AI problem as a detection problem.
Research Uses Require a Different Kind of Caution
Automated literature-search and synthesis tools may help researchers discover material or organize large information spaces more quickly. They can also produce omissions, mistaken interpretations, inaccurate citations, or excessive confidence if users stop checking the underlying sources.
That makes research training particularly important. A tool capable of accelerating inquiry should not become a reason to outsource source verification, methodological judgment, or scholarly interpretation.
Researchers need to distinguish between finding information faster and validating that information correctly.
What This Does Not Mean
The event does not require every professor to redesign a course around Gemini. Nor does participation in a workshop establish that a particular AI use is appropriate in every class, discipline, research project, or student assignment.
A digital badge should also not be confused with comprehensive expertise in artificial intelligence.
Short-form professional learning can introduce useful practices, but responsible implementation requires continued attention to privacy, accuracy, bias, accessibility, intellectual property, academic integrity, and disciplinary standards.
The Bigger Picture
Higher education is entering a period in which access to AI tools may become less important than the quality of rules and instruction surrounding their use.
Simply providing software does not teach students how to verify information, preserve original thinking, document AI assistance, or recognize when automation is inappropriate.
Faculty development is therefore becoming a central part of AI implementation. Universities that invest only in licenses may find that the technology changes faster than their teaching practices.
What Happens Next
Google Days continues through October 8, with demonstrations remaining available to the university community.
The more consequential work will occur after the event when faculty decide whether any of the approaches belong in their own courses and research processes.
FSU will also have an opportunity to evaluate whether training changes actual practice. Useful measures could include faculty confidence, student clarity about AI rules, assessment redesign, academic-integrity patterns, and whether AI-supported research workflows remain accurate and transparent.
Why This Matters
The educational AI debate is no longer simply about whether students will use these tools. AI is increasingly embedded inside search, productivity software, research tools, and everyday academic workflows.
The more useful question is whether institutions can teach people to use AI without allowing it to replace the thinking education is supposed to develop.
FSU’s October 7 workshops place that question directly inside teaching and research practice.
Key Takeaways
- FSU’s Google Days opened October 7 and continues October 8.
- Google specialists are providing demonstrations of Gemini and related tools.
- October 7 faculty workshops focus on process-based assessment and Deep Research.
- Participants can pursue Google AI Educator digital badges.
- The event is professional development, not a statewide Florida AI mandate.
- AI research tools still require source verification and scholarly judgment.
- Process-based assessment may help faculty preserve evidence of student thinking.
- The article’s search intent is distinct from NTE’s broader AI-readiness coverage.
Frequently Asked Questions
Is Florida State requiring professors to use Gemini?
No such requirement is established by the Google Days materials. The event provides training and demonstrations.
What is process-based assessment?
It evaluates evidence from the learning process rather than relying entirely on the final product. Drafts, source work, revisions, explanations, and other checkpoints can help instructors see how students developed their work.
Is Google Days only for faculty?
No. The broader campus event includes demonstrations for students, faculty, and staff, while several structured sessions focus specifically on faculty development.
Why is Deep Research relevant to universities?
Research-oriented AI may help find and organize information more quickly, but users still need to verify sources, citations, context, and interpretations.
Final Thoughts
Universities cannot solve the AI challenge simply by banning tools or purchasing more of them. The harder task is redesigning teaching so technology can support learning without making student thinking invisible.
FSU’s October 7 event is useful because it moves that conversation into concrete instructional practice. Whether it succeeds will depend on what educators do after the workshops are over.
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Sources
Florida State University Calendar — Google Days 2026
https://calendar.fsu.edu/event/google-days-2026
Florida State University News — Florida State University Prepares to Host Two-Day Google Days AI and Tech Event
