BEGIN:VCALENDAR VERSION:2.0 CALSCALE:GREGORIAN METHOD:PUBLISH PRODID://NEAI//214752 BEGIN:VEVENT DTSTAMP:20260526T125353 VTIMEZONE:America/New_York DTSTART:20260724T140000Z DTEND:20260724T153000Z UID:214752 SUMMARY:Googling to Guided Learning: AI as a Learning Partner in IR LOCATION: DESCRIPTION:Googling to Guided Learning: AI as a Learning Partner in IR\n\n07/24/26 10:00 AM EST\n - 07/24/26 11:30 AM EST\Description:\nIn this interactive workshop, participants will explore how conversational AI can serve as a practical learning partner in institutional research. Rather than replacing IR expertise, AI can support day-to-day work by helping users understand tool logic, translate technical concepts, troubleshoot errors, and refine how findings are communicated.\n\nDesigned for AI-curious IR professionals, this session offers approachable, low-barrier strategies for integrating AI into everyday workflows—no prior experience required. Participants will learn core concepts, best practices, and ethical considerations for responsible AI use, followed by hands-on application through real-world scenarios.\n\nThe workshop includes a live demonstration using IPEDS admissions data to build a stakeholder-facing dashboard with help from AI. While the demo will be conducted in Tableau, participants are encouraged to follow along using their tool of choice, such as Power BI, Excel, or others. Interactive group activities and guided exercises will provide opportunities to practice, collaborate, and apply concepts in real time.    \n\nParticipants in this session will be able to:\n\n describe how conversational AI can function as a learning partner to support the development of IR technical skills, without replacing professional expertise or judgment.\n practice crafting effective, learning-oriented prompts to use AI for troubleshooting, sense-making, and refining analytical outputs.\n apply AI to explore IR-related workflows, including working with public IPEDS data, making visualization decisions, and supporting analytical reasoning.\n identify key ethical considerations when incorporating AI into institutional research work, including data sensitivity, accuracy, and appropriate use. Intended\n\nAudience:  Participants should:\n\n\n have a general understanding of institutional research workflows (e.g., working with data requests, creating reports, or building dashboards for stakeholders)\n be able to work with data in at least one tool such as Excel, Tableau, Power BI, or a similar platform (e.g., creating basic charts, filtering data, or building simple tables)\n have a basic familiarity with IPEDS and general awareness of Admissions Survey data elements (e.g., applicants, admits, and enrollment counts)\n be comfortable following a live demonstration and optionally replicating steps in their tool of choice\n\nParticipants should have access to a laptop with Microsoft Excel or another data analysis/visualization tool, such as Tableau or Power BI (any recent version), if they wish to follow along during the hands-on portion of the session.\n\nThe workshop will include a live demonstration in Tableau using an IPEDS Admissions dataset provided in Excel format. Participants who choose to follow along should be able to open and work with Excel files (e.g., view data, sort/filter, and create basic charts or tables). No advanced features or add-ins are required.\n\nFormat: \n\n\nThis is an Interactive Workshop: Participants will be able to interact with presenter and one another; these are not recorded.\n\nCost:  $40 - Member; $100 Non-Member\n\nPresenter: Megan Yosko, Rice University\n\nFriday, July 24, 2026; 10:00 - 11:30 X-ALT-DESC;FMTTYPE=text/html:Googling to Guided Learning: AI as a Learning Partner in IR

07/24/26 10:00 AM EST - 07/24/26 11:30 AM EST
Description:
In this interactive workshop, participants will explore how conversational AI can serve as a practical learning partner in institutional research. Rather than replacing IR expertise, AI can support day-to-day work by helping users understand tool logic, translate technical concepts, troubleshoot errors, and refine how findings are communicated.

Designed for AI-curious IR professionals, this session offers approachable, low-barrier strategies for integrating AI into everyday workflows—no prior experience required. Participants will learn core concepts, best practices, and ethical considerations for responsible AI use, followed by hands-on application through real-world scenarios.

The workshop includes a live demonstration using IPEDS admissions data to build a stakeholder-facing dashboard with help from AI. While the demo will be conducted in Tableau, participants are encouraged to follow along using their tool of choice, such as Power BI, Excel, or others. Interactive group activities and guided exercises will provide opportunities to practice, collaborate, and apply concepts in real time.    

Participants in this session will be able to: Audience:  Participants should: Participants should have access to a laptop with Microsoft Excel or another data analysis/visualization tool, such as Tableau or Power BI (any recent version), if they wish to follow along during the hands-on portion of the session.

The workshop will include a live demonstration in Tableau using an IPEDS Admissions dataset provided in Excel format. Participants who choose to follow along should be able to open and work with Excel files (e.g., view data, sort/filter, and create basic charts or tables). No advanced features or add-ins are required.

Format:  This is an Interactive Workshop: Participants will be able to interact with presenter and one another; these are not recorded.

Cost:  $40 - Member; $100 Non-Member

Presenter: Megan Yosko, Rice University

Friday, July 24, 2026; 10:00 - 11:30 PRIORITY:3 TRANSP:TRANSPARENT BEGIN:VALARM TRIGGER:-PT5M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT END:VCALENDAR