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X-WR-CALNAME:Institute for Teaching, Innovation, &amp; Inclusive Pedagogy
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X-WR-CALDESC:Events for Institute for Teaching, Innovation, &amp; Inclusive Pedagogy
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DTSTART:20261101T060000
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DTSTART;TZID=America/New_York:20260821T110000
DTEND;TZID=America/New_York:20260821T123000
DTSTAMP:20260722T142013
CREATED:20260710T171951Z
LAST-MODIFIED:20260710T175003Z
UID:5127-1787310000-1787315400@teaching.rutgers.edu
SUMMARY:Beyond the Chatbot
DESCRIPTION:Part of a six-session series from University Online Education Services (UOES)\, in partnership with TIIP. Each session consists of 60 minutes of content followed by a 30-minute work session. \nThis session is a high-level tour of what’s actually new this year and why it matters for the way you teach. Agents can now browse the web\, write\, and complete multi-step tasks on their own. Vibe coding lets you describe a Canvas page\, quiz\, or interactive activity in plain English and get working content back — no coding experience required. NotebookLM keeps an AI grounded in your own syllabus and readings instead of letting it wander the open web. And local AI tools — speech-to-text\, text-to-speech\, and small models — let you build course materials on your own laptop without anything leaving the room. We’ll look at what’s available through your ScarletMail account\, what students are arriving with\, and what each of these tools is actually good for. The 30-minute work session that follows is hands-on: pick one thing that caught your attention and try it on your own course material\, with help in the room. \nThis session fulfills Competencies 1\, 2\, and 3 of the Teaching and Generative AI Pathways Program and is open to Rutgers University staff and instructors of all ranks\, appointment types\, and disciplines. \nWhat to bring (optional): a Canvas page\, syllabus\, or reading you’d like to turn into something interactive. \nREGISTER \nQuestions about the Teaching with GenAI Faculty Workshop Series? Email Rick Anderson\, Director of Emerging Technology at UOES: rick.anderson@uoes.rutgers.edu
URL:https://teaching.rutgers.edu/event/beyond-the-chatbot/
LOCATION:Zoom
CATEGORIES:Learning Community
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260918T110000
DTEND;TZID=America/New_York:20260918T123000
DTSTAMP:20260722T142013
CREATED:20260710T172557Z
LAST-MODIFIED:20260710T174941Z
UID:5130-1789729200-1789734600@teaching.rutgers.edu
SUMMARY:AI-Assisted Digital Accessibility Workflows: Text-to-Speech\, Vision\, and Content Conversion
DESCRIPTION:Part of a six-session series from University Online Education Services (UOES)\, in partnership with TIIP. Each session consists of 60 minutes of content followed by a 30-minute work session. \nThe April 2027 digital accessibility deadline is closer than it looks\, and AI can do work on accessibility that used to take hours. This session walks through practical workflows: multilingual text-to-speech for course readings and announcements\, AI vision for generating meaningful alt text and descriptions of charts and diagrams\, and conversion of scanned PDFs and image-heavy slides into accessible Canvas content. We’ll keep the emphasis on repeatable routines you can run yourself — and on the verification step\, because AI-generated descriptions and audio always need a human check. The 30-minute work session lets you run the workflow on one of your own course documents. \nThis session fulfills Competencies 1 and 3 of the Teaching and Generative AI Pathways Program and is open to Rutgers University staff and instructors of all ranks\, appointment types\, and disciplines. \nWhat to bring: A course document you’d like to make accessible. \nREGISTER \nQuestions about the Teaching with GenAI Faculty Workshop Series? Email Rick Anderson\, Director of Emerging Technology at UOES: rick.anderson@uoes.rutgers.edu
URL:https://teaching.rutgers.edu/event/ai-assisted-digital-accessibility-workflows-text-to-speech-vision-and-content-conversion/
LOCATION:Zoom
CATEGORIES:Learning Community
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261106T110000
DTEND;TZID=America/New_York:20261106T123000
DTSTAMP:20260722T142013
CREATED:20260710T173122Z
LAST-MODIFIED:20260710T174843Z
UID:5132-1793962800-1793968200@teaching.rutgers.edu
SUMMARY:Beyond Alt Text: Making Notation\, Diagrams\, and Symbols Accessible with AI
DESCRIPTION:Part of a six-session series from University Online Education Services (UOES)\, in partnership with TIIP. Each session consists of 60 minutes of content followed by a 30-minute work session. \nAccessibility’s hardest problems live wherever a field has its own visual or symbolic language — equations\, flow charts\, syntax trees\, structural formulas\, supply-demand curves\, choropleth maps\, IPA transcription\, music notation — and other notation and diagrams that experts read differently than they’d ever say aloud\, locked inside images and invisible to assistive technology. These are the materials that take longest to make accessible\, across every school and discipline\, and they’re the ones the April 2027 deadline will reach last. This session uses AI to address exactly those cases\, drawing examples from across the humanities\, social sciences\, and natural sciences alongside STEM: converting equation images\, structural formulas\, and syntax trees into accessible\, screen-reader-renderable notation in Canvas; generating narrated walkthroughs of flow charts\, process diagrams\, and decision trees; and producing audio descriptions of technical and disciplinary figures. Live screen-reader demonstrations show the difference between an accessible figure and an inaccessible one\, and the 30-minute work session lets you apply the workflow to a piece of your own content\, from any discipline. \nThis session fulfills Competencies 1\, 3\, and 4 of the Teaching and Generative AI Pathways Program and is open to Rutgers University staff and instructors of all ranks\, appointment types\, and disciplines. \nWhat to bring: A unit\, equation set\, or technical figure from your own course. \nREGISTER \nQuestions about the Teaching with GenAI Faculty Workshop Series? Email Rick Anderson\, Director of Emerging Technology at UOES: rick.anderson@uoes.rutgers.edu
URL:https://teaching.rutgers.edu/event/beyond-alt-text-making-notation-diagrams-and-symbols-accessible-with-ai/
LOCATION:Zoom
CATEGORIES:Learning Community
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20270129T110000
DTEND;TZID=America/New_York:20270129T123000
DTSTAMP:20260722T142013
CREATED:20260710T173705Z
LAST-MODIFIED:20260710T174812Z
UID:5135-1801220400-1801225800@teaching.rutgers.edu
SUMMARY:The Prompting Cookbook: Shifting from Prompting to Context Engineering
DESCRIPTION:Part of a six-session series from University Online Education Services (UOES)\, in partnership with TIIP. Each session consists of 60 minutes of content followed by a 30-minute work session. \nYour students are taking your class\, not a generic\, average internet class. Context engineering is the practice of putting your own values\, course materials\, and academic standards at the center of what an AI responds with — instead of letting the open web fill in the answer. One-line prompting tricks are giving way to this more deliberate approach: anchoring AI output in the specific sources you choose. Using NotebookLM and comparable tools\, you’ll practice grounding AI directly in your own syllabus and readings\, and see why a well-fed model behaves very differently from an unanchored chatbot. The session closes by flipping the lens — context engineering is a student skill\, too — and you’ll design an assignment component that asks students to curate and document the sources they feed to AI. The 30-minute work session is for grounding a tool in your own course materials. \nThis session fulfills Competencies 1\, 3\, and 4 of the Teaching and Generative AI Pathways Program and is open to Rutgers University staff and instructors of all ranks\, appointment types\, and disciplines. \nWhat to bring: A current syllabus or a set of course readings. \nREGISTER \nQuestions about the Teaching with GenAI Faculty Workshop Series? Email Rick Anderson\, Director of Emerging Technology at UOES: rick.anderson@uoes.rutgers.edu
URL:https://teaching.rutgers.edu/event/the-prompting-cookbook-shifting-from-prompting-to-context-engineering/
LOCATION:Zoom
CATEGORIES:Learning Community
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20270226T110000
DTEND;TZID=America/New_York:20270226T123000
DTSTAMP:20260722T142013
CREATED:20260710T174035Z
LAST-MODIFIED:20260710T174735Z
UID:5137-1803639600-1803645000@teaching.rutgers.edu
SUMMARY:Moving from Static to Dynamic: Creating Interactive Course Content with AI
DESCRIPTION:Part of a six-session series from University Online Education Services (UOES)\, in partnership with TIIP. Each session consists of 60 minutes of content followed by a 30-minute work session. \nTake a static course document — a PDF reading\, a worksheet\, a lecture handout — and use AI to turn it into something interactive: choose-your-own-path scenarios\, self-checking practice\, scaffolded assignment sequences that drop into Canvas. The session explores several techniques side by side so you can choose the right one for the content at hand: vibe coding for HTML-based interactives that drop into Canvas\, NotebookLM for queryable knowledge bases built from your readings\, and direct AI-generated activities you assemble inside Canvas itself. Because redesigning an assignment always raises the policy question\, we’ll also work through what AI use you’ll permit and what evidence of process you’ll ask students for. The 30-minute work session is for converting one of your own documents. \nThis session fulfills Competencies 2\, 3\, and 4 of the Teaching and Generative AI Pathways Program and is open to Rutgers University staff and instructors of all ranks\, appointment types\, and disciplines. \nWhat to bring: One static course document you’d like to convert. \nREGISTER \nQuestions about the Teaching with GenAI Faculty Workshop Series? Email Rick Anderson\, Director of Emerging Technology at UOES: rick.anderson@uoes.rutgers.edu
URL:https://teaching.rutgers.edu/event/moving-from-static-to-dynamic-creating-interactive-course-content-with-ai/
LOCATION:Zoom
CATEGORIES:Learning Community
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20270409T110000
DTEND;TZID=America/New_York:20270409T123000
DTSTAMP:20260722T142013
CREATED:20260710T174449Z
LAST-MODIFIED:20260710T174715Z
UID:5140-1807268400-1807273800@teaching.rutgers.edu
SUMMARY:Rubric Design and AI-Assisted Feedback
DESCRIPTION:Part of a six-session series from University Online Education Services (UOES)\, in partnership with TIIP. Each session consists of 60 minutes of content followed by a 30-minute work session. \nAI is in the room when you grade now\, whether you invited it or not. This capstone session redesigns the assessment layer of a course assignment from both directions. First\, you’ll design a rubric that rewards the things AI can’t hand a student — process\, judgment\, content area thinking. Then you’ll put AI to work generating draft formative feedback against that rubric\, with you as editor and final voice. The session takes the AI-use policy question head-on as a design decision built into the rubric itself: faculty can absolutely say “no AI\,” or “this tool only\, used this way\,” and we’ll cover how to state either clearly\, what evidence of process to ask for under each\, and what the data students generate with these tools actually looks like. The 30-minute work session lets you redesign a rubric for one of your own assignments. \nThis session fulfills Competencies 2\, 3\, and 4 of the Teaching and Generative AI Pathways Program and is open to Rutgers University staff and instructors of all ranks\, appointment types\, and disciplines. \nWhat to bring: One assignment with its current rubric (or grading approach). \nREGISTER \nQuestions about the Teaching with GenAI Faculty Workshop Series? Email Rick Anderson\, Director of Emerging Technology at UOES: rick.anderson@uoes.rutgers.edu
URL:https://teaching.rutgers.edu/event/rubric-design-and-ai-assisted-feedback/
LOCATION:Zoom
CATEGORIES:Learning Community
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