Immersion Classes

Join us Monday, November 17, 2025 for these special onsite pre-conference classes addressing the hottest topics in digital learning.

Looking to deep-dive into the hottest topics in online learning? Join us on November 17, 2025 for our pre-conference Accelerate 2025 Immersion Classes.

Immersion class registrations are at an additional fee, and are available only to attendees with an Accelerate 2025 Conference Pass registration. Immersion classes can be selected with an individual class registration, or through our cost-saving Combo Package (one AM & one PM class). Discounted rates are available for OLC members for both individual and combo package registration options. Class selections are made at the time of registration.

All Immersion classes are listed in U.S. Eastern Time Zone and are presented onsite at the Walt Disney World Dolphin Resort in Orlando, FL.

A panel of three presenters during a session at OLC Accelerate 2024.

Immersion Class AM Sessions

From Barriers to Bridges: Using AI to Create Accessible and Inclusive Learning Environments

Date: Monday, November 17, 2025]

Time: 9:00am – 12:00pm U.S. Eastern Time Zone

Lead Presenter: Kaitlin Garrett, Instructional Designer, Online Learning Consortium

 

Explore how AI tools can support accessibility and inclusion in digital learning. This interactive workshop guides educators in using AI to create accessible content, inclusive assessments, and equitable learning experiences for diverse students. Leave with tools, strategies, and hands-on practice for immediate implementation.

As digital learning becomes a cornerstone of higher education, ensuring accessibility and inclusion for all students is more urgent than ever. Recent updates to the ADA Title II guidelines, rising rates of reported and unreported disabilities, and increasing neurodiversity among students demand that educators and institutions take meaningful action toward creating equitable learning experiences.

Artificial Intelligence (AI) has the potential to be a powerful ally in this work. From automating accessibility features like image descriptions and captions to helping educators create inclusive assignments and assessments, AI tools offer scalable solutions that can support diverse learners. Yet many faculty and instructional designers lack the time, resources, or training to meaningfully implement these tools.

This interactive, skill-building immersion class responds to this need by providing a deep dive into practical AI applications for inclusive course design. Participants will explore the intersection of AI, accessibility, and inclusive pedagogy, gain hands-on experience with curated tools, and walk away with tangible strategies and artifacts to use in their teaching practice.

The session is particularly timely as institutions prepare for compliance with upcoming accessibility mandates and work to close equity gaps in student outcomes. It is relevant to faculty, instructional designers, accessibility specialists, and educational technologists committed to making learning more inclusive.

Plan for Interactivity and Engagement

This session is designed to maximize participant engagement through a blend of presentation, real-world case studies, tool demos, and collaborative hands-on activities. Participants will not be passive listeners; they will actively apply what they learn, experiment with AI tools, reflect on their practice, and co-create accessible resources.

The session will follow this structure:

  1. Welcome, Framing, and Goals
    • Brief participant introductions with shared accessibility challenges
    • Framing of workshop goals in the context of ADA Title II updates and equity in higher education
  2. Why Accessibility Matters: Laying the Foundation
    • Interactive polling and think-pair-share: “What barriers do students face in your courses?”
    • Presentation with visuals on disability statistics (reported and unreported), neurodiversity trends, and common challenges in digital learning environments
  3. AI as an Inclusion Partner: What’s Possible?
    • Distribute digital toolkit of recommended AI tools, templates, and resources
    • Short demos of curated, no-cost or low-cost AI tools for creating accessible content, multimedia, and assessments
    • Brief discussion of ethical considerations (bias, over-reliance, privacy)
  4. Hands-On Exploration with AI Tools
    • Round 1: Accessible Multimedia. Bring a piece of content (image, audio clip, video, etc.) from a real course or use a provided sample to generate:
      • Image or audio descriptions
      • Transcription, captioning, and translation
      • Multimodal learning support
    • Round 2: Inclusive Content and Assessments. Create or revise an assignment using AI to:
      • Develop a clear rubric
      • Generate exemplar responses
      • Check for inclusive design and readability
      • Add multi-perspective prompts or scaffolded support
    • Participants can choose to work individually or as part of a group
    • Peer feedback and group share-out
  5. Wrap-Up and Synthesis
    Individual reflection: What are 3 things you’ll implement next semester?
    Group discussion: Institutional barriers and opportunities for scaling inclusive practices.
    Open time for specific tool support, deeper questions, or consultation with the facilitator.

Learning Outcomes and Takeaways

By the end of the workshop, participants will be able to:

  1. Understand the landscape of accessibility and inclusion in higher ed
    • Describe key disability and neurodiversity statistics
    • Articulate why accessibility matters for student success, retention, and equity
  2. Recognize common challenges students face in digital learning environments
    • Identify how visual, auditory, physical, and cognitive barriers manifest in online courses
  3. Leverage AI tools to address accessibility and inclusivity
    • Generate alt text, captions, transcripts, and summaries using AI
    • Improve clarity, structure, and inclusivity of content and assessments
  4. Apply inclusive design principles using AI-enhanced workflows
    • Create or revise assignments and materials that reflect diverse needs and perspectives
    • Integrate multimodal learning supports for UDL (Universal Design for Learning)
  5. Evaluate benefits and limitations of AI for inclusive education
    • Consider issues of bias, privacy, and dependency
    • Reflect on when and how to ethically use AI in course design
  6. Leave with ready-to-use resources
    • A digital toolkit of vetted AI tools for accessibility
    • Examples and templates for inclusive assignments
    • A personalized action plan for next steps

Empowering Educators: Enhancing Student Engagement in HyFlex and Online Courses with Custom GPTs

Date: Monday, November 17, 2025
Time: 9:00am – 12:00pm U.S. Eastern Time Zone
Lead Presenter: Brian Beatty, Professor of Instructional Design and Technology, San Francisco State University
Co-Presenter: Glori Hinck, Instructional Designer, University of St. Thomas

 

This hands-on workshop introduces educators to custom GPTs that enhance student engagement in HyFlex and online courses. Participants explore real-world examples, analyze prompt design, and create their own custom GPTs. The result? Student-ready GPTs to use, practical skills, and strategies for integrating AI-powered interactions into your course designs.

Introduction and Rationale

Online and hybrid learning environments often challenge educators seeking to maintain high levels of student engagement, particularly for “Accidental Asynchronous Learners”, students who prefer synchronous learning but participate asynchronously due to schedule or life constraints (Moore, 1997). These students may experience high transactional distance, leading to disengagement and reduced learning outcomes (Moore, 1989). Traditional course design models often fail to fully bridge this gap.

Recent advances in Generative AI, particularly with custom GPTs, offer innovative opportunities to simulate interactions with instructors, peers, and content. Custom GPTs can extend engagement beyond live sessions, provide equitable learning opportunities, and support all learners across in-person, synchronous online, and asynchronous online modes. These tools have been piloted at multiple conferences and institutions, demonstrating their potential to transform student experiences in HyFlex and fully online courses. Recent user experience testing (which we will explain in the workshop) shows the potential for improving student engagement in effective and interactive learning experiences even when there is no other learner around.

This workshop builds on prior efforts focused on introducing custom GPTs for student engagement. It expands that work into a three-hour hands-on experience where participants will not only learn to use these tools “as is” but also dive into their design. We will explore basic prompt engineering and provide the participants the opportunity to create their own GPTs using the OpenAI platform. Whether you are new to AI integration or have experience with GenAI, this workshop will provide insights, guidance, and practical skills to empower their teaching practice.

Session Overview

This immersion session workshop is designed to be highly interactive and collaborative, combining demonstrations, discussions, hands-on exploration, and guided practice. The structure ensures participants gain both foundational knowledge and practical skills, leaving with personalized strategies for using and creating GPTs in their own courses.

Workshop Objectives

  1. Welcome and Context Setting (up to 15 minutes)
    • Introduction to HyFlex and online learning challenges associated with student engagement, with a focus on Accidental Asynchronous Learners and transactional distance (Moore, 1997).
    • Overview of how custom GPTs can bridge engagement gaps.
  2. Exploring Existing Custom GPTs (up to 30 minutes)
    • Demonstration of selected GPTs designed for student engagement, such as:
    • Course Syllabus Explorer
    • Study Planner
    • HyFlex Mode Chooser
    • Breakout Companion
    • Quiz Me!
    • Peer Review Partner
    • … and a few others currently in development
    • Discuss design goals, prompt structures, and integration points.
  3. Deep Dive: Understanding GPT Design (up to 45 minutes)
    • Analyze example prompt structures and decision trees.
    • Discussion of prompt coding strategies for controlling GPT behavior.
    • Hands-on activity: Participants review sample prompt designs and discuss design considerations (e.g., tone, structure, language).
  4. Building a Custom GPT (up to 60 minutes)
    • Guided walkthrough of creating a custom GPT using the OpenAI platform.
    • Participants set up their own GPTs (with free or premium OpenAI accounts).
    • Time to draft, test, and refine their own GPTs based on their specific teaching contexts.
  5. Sharing and Reflection (up to 20 minutes)
    • Participants share their GPTs and ideas with the group.
    • Discussion of implementation strategies and potential challenges.
  6. Closing and Next Steps (up to 10 minutes)
    • Summary of key takeaways.
    • Resources for continued learning (OpenAI documentation, community forums).
    • Questions and responses.

Key Discussion Points and Prompts

  • How can custom GPTs support equitable learning and reduce transactional distance in online courses?
  • What are the design challenges in crafting effective prompts that align with learning objectives?
  • How can educators balance the benefits of AI-driven tools with the need for human interaction and oversight?
  • What strategies can ensure ethical and effective use of AI in education?

Hands-On Tools and Examples

Participants will have access to a variety of GPTs demonstrated at prior conferences, including:

 

Participants will also explore the OpenAI platform for building their own GPTs (https://platform.openai.com/). Note: A paid account on OpenAI.com is required to build custom GPTs.

Takeaways for Participants

  • A deep understanding of how custom GPTs can enhance engagement across learning modes.
  • Skills in prompt design and AI integration for educational contexts.
  • Experience creating and refining a personalized custom GPT.

 

Resources and strategies for implementing AI tools in their courses with an emphasis on equity, accessibility, and student empowerment.

Immersion Class PM Sessions

The Next 30 Years of AI in Education: Symbolic Language Intelligence for Trustworthy Learning Technology

Date: Monday, November 17, 2025
Time: 1:00pm- 4:00pm U.S. Eastern Time Zone
Lead Presenter: Ceredwyn Alexander, Founder/CIO, Bryan Alexander Consulting, LLC
Co-Presenter: Bryan Alexander, Senior Scholar, Georgetown University

 

Most believe principled AI is still years away. We will demonstrate otherwise.

 

Participants engage with Symbolic Language Intelligence: AI systems leveraging pre-existing, underused capacities already present in today’s models. This is not a prompt engineering workshop, but a paradigm shift. We show how educational institutions can implement trustworthy AI now.

Topic and Relevance

Many AI researchers and educational technologists still treat principled reasoning in AI as a future goal. It appears in academic papers, industry forecasts, and long-range institutional strategies—something to prepare for, not something to build now. The assumption is that better, faster models will eventually solve the problem.

But trustworthy, value-aligned AI is not years away. The core capabilities already exist. What’s missing is not technical capacity, but intentional design application.

This workshop makes that clear. The building blocks are here, but they remain underused.

What’s needed is not a new model, but a new design approach. Human language carries compressed logic through metaphor, social ritual, ethical signals, and institutional norms. For example, words like please and thank you aren’t filler. They encode frameworks of trust, obligation, and relational stance. Language models already recognize these patterns. We just don’t ask them to act on them.

This is what we mean by Symbolic Language Intelligence (SLI). These systems don’t just produce text—they reason with it. SLI designs provide context that allows for the AI to behave in a predictable and ethical manner.

SLI systems use constraint logic rooted in institutional values, grammatical form, and symbolic reasoning. They maintain integrity under pressure by embedding values at the system level rather than patching filters on top.

While most institutions are still planning for AI alignment “someday,” this workshop shows how that future is already here. And it invites educators to shape it.

Interactive Engagement Strategy

This workshop uses hands-on practice to make Symbolic Language Intelligence tangible. Each segment moves from demonstration to co-creation, showing how SLI works and how participants can apply it.

  • Live System Demonstration (20 minutes):
    • Participants interact with a working SLI system. In rotating small groups, they test it against high-risk educational use cases: course design that respects academic freedom, student support that protects privacy, policy advice that follows institutional constraints, and research help that maintains attribution. These are tasks where conventional AI often fails.
  • Collaborative Visioning Exercise (15 minutes):
    • Teams identify the core values of their institutions, articulate current AI governance challenges, and begin sketching symbolic constraint frameworks that will protect those values across changing technologies. Teams share drafts using a provided structure.
  • Hands-On Design Challenge (25 minutes):
    • Groups work through the process of designing their own SLI agents. They define expertise domains, institutional constraints, and prohibited behaviors, translating values into functional design choices.
  • Scenario Testing Workshop (15 minutes):
    • Participants stress-test their agents against crisis conditions: budget cuts, leadership changes, public controversies, student crises. This helps refine constraint logic under pressure.
  • Action Planning Session (10 minutes):
    • Individuals reflect on institutional opportunities and draft a next-step plan. Small groups share approaches for stakeholder engagement and internal advocacy.

Learning Outcomes and Takeaways

Participants will leave with practical tools, theoretical grounding, and real-world design experience in Symbolic Language Intelligence:

  • Conceptual Understanding:
    • Participants will understand how SLI differs from conventional AI approaches, and why it is more sustainable for education. They will connect this to existing cognitive and linguistic principles.
  • Practical Design Skills:
    • Through guided exercises, participants will learn to translate institutional values into system constraints and agent behaviors. They’ll work with test scenarios and constraint templates they can adapt for their own settings.
  • Implementation Strategies:
    • Attendees will build tailored action plans for introducing SLI concepts at their institutions. They will explore communication strategies, pilot project design, and policy development templates.
  • Strategic Readiness:
    • Participants will see how acting now—while others delay—can position their institutions as ethical and strategic leaders in educational AI.
  • Collaborative Network:
    • Participants will connect with peers facing similar challenges, opening channels for future project collaboration and troubleshooting.

Creating Interactive AI-Driven Games for Educational and Experiential Learning Using AI Tools

Date: Monday, November 17, 2025
Time: 1:00pm- 4:00pm U.S. Eastern Time Zone
Lead Presenter: Michael Jones, Assistant Director of The Future Learning Lab, Indiana Wesleyan University – National & Global
Co-Presenter: Tasha Bleistein, Director of the Future Learning Lab, Indiana Wesleyan University-National & Global

 

In this interactive workshop, participants will learn to design and implement AI-driven educational games using Boodlebox.ai and OpenAI. Starting with a healthcare simulation example, attendees will then build their own experiential games on topics of their choice, with a demonstration of single-player mobile practice using verbal commands and OpenAI.

This workshop provides participants with the tools and knowledge to create interactive, AI-driven games for educational and professional practice using Boodlebox.ai and OpenAI. The session will begin with a demonstration of a collaborative healthcare simulation game, followed by participants designing and implementing their own games on topics of their choice. The workshop will also feature the use of free custom bots to workshop Learning Objectives, Game Design, and Assessment, as well as a demonstration of building single-player practice games using OpenAI and voice commands on mobile devices. By the end, attendees will have hands-on experience in game development, leveraging AI to enhance learning and practice scenarios.

This session is ideal for educators, trainers, and professionals who are interested in integrating AI into experiential learning, whether for academic subjects, professional development, or skill practice.

Session Goals:

Attendees will:

  • Learn to design interactive, AI-driven games using Boodlebox.ai and OpenAI.
  • Understand how to apply AI to facilitate both multiplayer and single-player educational practice.
  • Gain insights into leveraging AI for experiential learning across diverse disciplines.
  • Walk away with a practical understanding of how AI enhances engagement and feedback in learning environments.

Workshop Structure and Examples:

  • Introduction and Game Demo (15 minutes):
    • Overview of Boodlebox.ai and OpenAI as platforms for creating interactive educational games.
    • Introduction to the Integrative Healthcare Simulation Game, focusing on interdisciplinary teamwork, patient-centered care, and real-world challenges. This game will be used as an example of how to structure an AI-driven game.
    • Live Demonstration: Walk participants through building the healthcare simulation game using Boodlebox.ai, where AI fills unselected roles and provides real-time feedback based on gameplay.
  • Hands-On Game Building (45 minutes):
    • Group Collaboration: Participants will use three custom bots in a free version of Boodlebox.ai accessible here: https://boodle.cello.so/oqyqkuU6WdM to create their own games on topics of their choice. Whether focused on academic, professional, or creative topics, attendees will design interactive simulations tailored to their chosen subjects.
      • Game Elements: Participants will decide on roles, scenarios, challenges, and feedback mechanisms for their games, learning to integrate AI to simulate non-player characters (NPCs) and generate dynamic game responses.
        Support and Guidance: Facilitators will assist teams with game mechanics, scenario structuring, and integrating AI into the gameplay.
  • Single-Player Game Design with OpenAI and Voice Commands (15 minutes):
    • Demonstration: Show participants how to build a single-player practice game using OpenAI and mobile voice commands. The demo will feature verbal interaction with AI to simulate practice scenarios in healthcare or other fields, allowing learners to engage hands-free.
    • Mobile Integration: Explore how OpenAI’s language models can be adapted to provide on-the-go learning and practice through voice-based game interactions. This is ideal for scenarios where learners need real-time feedback or to practice decision-making in a solo environment.
  • Player Feedback and Assessment (10 minutes):
    • Game Play and Feedback: Teams will play through their newly created games, with Boodlebox.ai providing dynamic feedback. Participants will receive insights on how well the AI-driven elements enhance the learning experience and how to optimize their game designs.
    • Assessment Based on Bloom’s Taxonomy: The feedback will focus on how well players applied cognitive skills such as analysis, evaluation, and creation in their gameplay.
  • Reflection and Future Applications (5 minutes):
    • Group Reflection: Participants will share their thoughts on the process of designing AI-driven games and the potential for using these tools in their own educational or professional settings.
    • Discussion of Future Directions: Explore how AI-driven games can be applied in a wide range of disciplines and integrated with other technologies like VR or AR to create more immersive learning experiences.
  • Q&A (5 minutes):
    • Open the floor to questions regarding technical details, game design strategies, and best practices for integrating AI into learning environments.

Registration Options

Combo Package

Buy two Pre-conference Immersion classes (one AM class, one PM class)

  • 9:00am – 4:00pm U.S. Eastern Time Zone
  • Fee: $595 member, $850 non-member (2 class package total)

Individual Class

  • 9:00am – 12:00pm U.S. Eastern Time Zone
  • 1:00pm – 4:00pm U.S. Eastern Time Zone
  • Fee: $345 member, $475 non-member each

Orlando, FL | November 17-20, 2025

OLC Accelerate showcases groundbreaking research and highly effective practices in online and digital learning across K-12, higher education, and corporate L&D. This event is designed to empower and support leaders, instructional designers, educators, and training professionals by offering a wide range of sessions and activities.

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