Exhibitor Workshops / Demonstrations
Chair:
Mark Frydenberg
Bentley University
Wednesday Workshops
Tired of Templates? Leveraging Generative AI to Create Engaging Courses in Learning Management Systems (LMS)
Katelyn Walls
Elon University
Emily Yttri
Elon University
Are you looking to save time and resources when structuring a course in your LMS?
As instructors, we are typically subject-matter experts rather than User Interface (UI) designers,
so expecting us to create content and incorporate suitable UI elements isn’t realistic.
Some universities have adopted templates to enhance content findability and consistency for students
while reducing time investment for instructors, but templates limit instructors’ creativity and autonomy.
We believe Generative AI offers a solution to reduce or eliminate this trade-off. This workshop demonstrates how to use
Gen AI to lower the barrier to coding in LMS systems by using natural language. Instructors can generate HTML code with
Gen AI to balance UI design and creativity while sustaining or improving student engagement and findability. We will provide
instructors with an easy-to-follow brief demonstration of how to leverage Gen AI to create visually appealing courses to improve
student engagement without sacrificing time and effort. Then, we’ll ask the audience to evaluate their own course to
identify where they can apply the same techniques; presenters will offer guidance on how to add instructor creativity and how
to implement Gen AI output in the LMS. All participants will go home with a presenter-created guide for further implementation.
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Wednesday at 2:30 pm
Cyber Education Playground: Hands-On Activities for Engaging K–12 Learners
Mark Spanier
Dakota State University
Kyle Cronin
Dakota State University
Shawn Zwach
Dakota State University
Cody Welu
Dakota State University
Tyler Flaagan
Dakota State University
Jennifer Schulte
Dakota State University
Andrew Kramer
Dakota State University
Michael Ham
Dakota State University
How do you introduce cybersecurity and Artificial Intelligence concepts in a way that is approachable, memorable, and flexible
enough to work with learners at different ages and experience levels? In this interactive workshop, participants will learn about
Dakota State University’s approach to K–12 cyber education and take part in a collection of hands-on activities
that can be used in classrooms, outreach events, camps, and other learning environments.
The session will begin with
a brief overview of DSU’s K–12 cyber education efforts, including GenCyber Camps, the Governors Cyber Academy,
dual enrollment courses, classroom takeovers, cyber roadshows, and educator professional development. Presenters will share how these
efforts work together to introduce students to cybersecurity and help build pathways into university programs and cyber careers.
Most of the session will operate as a cyber education playground, with participants moving between five to seven activity stations based on their
interests. Stations will include short demonstrations, guided activities, challenges, and small-group exploration covering topics such as cryptography,
password security, social engineering, digital forensics, network security, and artificial intelligence. Participants will experience the activities as learners
while also considering how they could be adapted for different ages, experience levels, time constraints, and instructional settings.
This workshop will be valuable for educators and outreach professionals looking for practical ways to make cybersecurity approachable and engaging.
Participants will leave with activity ideas, supporting resources, and strategies they can use or adapt in their own programs.
They will also see how individual outreach activities can connect to broader educational pathways, partnerships, and workforce
development efforts.
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Wednesday at 3:50 pm
Thursday Workshop
MongoDB in 25 Minutes: What Educators Need to Know
Kim Yohannan
MongoDB
In this session, we'll provide a high-level comparison of document databases versus relational databases,
an introduction to the MongoDB for Academia program, and an overview of MongoDB Skill Badges — free,
self-paced credentials spanning core database concepts to AI agents and vector search. We'll share options for
integrating skill badges into your database, web development, or AI/software development courses. Join us tomorrow for
the MongoDB Overview Skill Badge workshop to experience it firsthand.
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Thursday at 1:30 pm
Friday Workshops
MongoDB Overview: Skill Badge Workshop
Kim Yohannan
MongoDB
Following yesterday's session on bringing MongoDB into your curriculum,
this workshop lets you experience the MongoDB Overview Skill Badge firsthand — the same
credential your students would complete.
We'll cover the badge's core concepts:
? The
Document Model & Architecture — flexible, JSON-like documents, plus how clusters, replication, and sharding enable
scalable systems
? Data Relationships — embedding vs. referencing, and key features like Atlas and Vector
Search powering AI semantic search
Walk away with everything you need to bring it into your course — deliver
it as an in-class lecture, assign it as on-demand eLearning, or blend both. It's one of over 30 Skill Badges available, spanning
topics like data modeling, indexing, and Gen AI.
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Friday at 8:55 am
Teaching Business Analytics with Power BI
John Miko
St. Francis University
Ty Brandenburg
myEducator
This workshop introduces a Power BI learning resource developed for MyEducator by John Miko and Stephen Owen.
The resource guides students through the process of connecting to and preparing data, building relational models,
creating DAX calculations, and designing interactive reports. Attendees will explore the instructional approach through
sample lessons, video demonstrations, and applied exercises. The session will also consider ways to incorporate the material
into existing courses and help students
move beyond creating charts to answering meaningful business questions
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Friday at 10:45 am
Saturday Workshops
Prospect Press Featured Workshop:
Teaching, Governing, and Publishing with AI: Practical Strategies for Information Systems Educators (Part A),
Kevin Mentzer
Nichols College
David Firth
University of Montana
Mark Frydenberg
Bentley University
Dave Williams
Prospect Press VT
Part 1: Teaching with AI: Practical Classroom Strategies for Information Systems Educators
This interactive workshop explores practical, classroom-tested approaches for teaching with generative AI.
The session focuses on how instructors can meaningfully incorporate AI tools into information systems and
other courses to support student learning, engagement, skill development, and career readiness.
This workshop is designed as the first part of a two-part conversation. Part 1 emphasizes classroom practice:
what instructors are trying, what is working, what remains difficult, and how students are responding. Part 2
extends the discussion to ethics, governance, research, publishing, and responsible AI use across academic work.
This will be a community-driven discussion rather than a traditional panel, allowing conference participants to learn from one
another and compare emerging practices across courses, programs, and institutions.
The facilitators invite
conference attendees to share their own strategies, activities, assignments, challenges, and successes related to teaching with AI.
The facilitators will guide the discussion and keep it focused on instructional innovations that enhance student learning
while helping students use AI tools productively and thoughtfully.
Each facilitator will introduce a topic or
teaching area, share an example from their own teaching, and then invite participants to join the discussion.
Topics may include AI-assisted tutoring, guided prompting, vibe coding, AI-supported data analysis, assessment
in the age of AI, assignment redesign, student reflection on AI use, classroom demonstrations, and ways to help
students move from casual AI use to more intentional and effective use. If you have a topic you would like to see
discussed, please contact one of the facilitators prior to the workshop.
Format: Introduction and
comments from the moderators followed by open discussion with attendees. Guided discussion will be used to
keep the conversation focused and productive.
Outcomes: Participants will gain practical ideas for
using AI in their teaching, examples of classroom activities and assignments that can be adapted for their own
courses, insights into how peers are incorporating AI tools into instruction, and strategies for helping students
use AI as a partner for learning rather than as a shortcut around learning.
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Saturday at 8:30 am
Prospect Press Featured Workshop:
Teaching, Governing, and Publishing with AI: Practical Strategies for Information Systems Educators, (Part B)
Kevin Mentzer
Nichols College
David Firth
University of Montana
Mark Frydenberg
Bentley University
Part 2: AI Ethics, Governance, and Responsible Use in Teaching,
Research, and Academic Work
This interactive workshop explores
practical approaches for navigating the ethical, professional, and governance challenges
created by generative AI in higher education. Building on Part 1’s focus on classroom use,
this session shifts attention to responsible AI use across the broader academic environment, including
teaching policies, student expectations, research practices, publishing workflows, institutional guidance,
and professional norms.
This will be a community-driven discussion rather than a traditional
panel, allowing conference participants to learn from one another and compare emerging practices across
institutions, disciplines, and roles.
The facilitators invite conference attendees to share their
own approaches, concerns, policies, dilemmas, and lessons learned related to ethical and responsible AI use.
The facilitators will guide the discussion and keep it focused on practical governance strategies that support
innovation while protecting academic integrity, transparency, fairness, privacy, and trust.
Each
facilitator will introduce a topic or governance area, share an example or challenge from their own institutional
or professional context, and then invite participants to join the discussion. Topics may include AI use in the research
and publishing pipeline, disclosure and attribution expectations, student AI use policies, syllabus language, academic
integrity concerns, data privacy, bias and fairness, responsible use of AI-generated content, institutional
governance models, and the role of faculty in shaping AI norms. If you have a topic you would like to see
discussed, please contact one of the facilitators prior to the workshop.
Format: Introduction and
comments from the moderators followed by open discussion with attendees. Guided discussion will be used
to keep the conversation focused and productive.
Outcomes: Participants will gain
practical ideas for developing responsible AI use policies, insights into how peers and institutions are
addressing AI-related ethical challenges, and strategies for balancing innovation with academic integrity,
transparency, privacy, fairness, and accountability. Participants will leave with examples and discussion
points they can adapt for their own courses, research teams, departments, or institutions.
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Saturday at 10:00 am