SIDLIT 2026

Instructional designers constantly face challenges at their job. Given the interdisciplinary nature of the field and the considerable variances from position to position, it is vital to understand the instructional design (ID) professionals’ own experiences. This paper reports voices from novice ID professionals on the essential requirements of their ID work, and essential ID professional characteristics. From analyzing interviews with seven ID professionals from a variety of work contexts, the study reveals that the variety of key responsibilities fall onto four dimensions on contradictory ends, indicating four sets of characteristics that ID professionals need to learn to balance well. The findings present the four sets of characteristics in a spider web form with an instructional design at the center, promoting a shift to taking a holistic approach when developing competencies. This paper bears practical implications for aspiring and novice instructional designers, faculty who provide education for ID students, and employers who aim to look for the best fits for the positions, making contributions to the education of instructional designers, hiring and further professional development of ID professionals.

Have you ever suddenly found yourself in charge after your supervisor moved on to a better opportunity? That happened to me in October 2024, and I was left to keep our tech systems running smoothly.
Over the past year-and-a-half, I’ve tackled everything from failing server drives to submitting board and credit card reports. It’s been a steep learning curve, but also an incredibly rewarding one.
I’d love to share some of the lessons I’ve learned—and hear about your experiences too. What challenges have you faced when stepping into a leadership role unexpectedly?

As generative AI becomes easier for students and educators to access, many institutions are responding with policies, permissions, restrictions, and detection tools. While these conversations matter, they often miss a central instructional design question: What learning is the assignment supposed to protect?
This session reframes AI guardrails as a learning design issue rather than a compliance checklist. Participants will examine how AI can support learning without replacing the thinking, decision-making, practice, and evidence students are meant to develop. Using practical examples from classroom and online learning contexts, the session will introduce a guardrails audit that helps educators identify which parts of a task may be AI-supported, which parts must remain student-owned, and what evidence can make student thinking visible.
Attendees will consider how guardrails can support academic integrity, accessibility, student agency, and meaningful engagement without relying only on surveillance or tool bans. The session is designed for educators, instructional designers, faculty/staff support professionals, and technology leaders who are helping others make responsible decisions about AI use in learning environments.
Participants will leave with adaptable questions they can use to review assignments, discussions, projects, and assessments at their own institutions or organizations.

By the end of the session, attendees will: 


Understand the core principles of micro lecture design. 


Learn how to integrate micro lectures into their own teaching or training programs. 

High engagement doesn’t come from expensive tools; it comes from intentional design. In this session, we’ll share how our nonprofit team builds highly engaging Canvas professional development for adult learners ages 14–70+ by thoughtfully selecting and layering the right tools for the right purpose. 
You’ll see real examples of how we use Canvas with interactive slides, flip cards, embedded activities, and structured discussions; alongside aligned objectives, reflection, and knowledge checks; to create meaningful learning experiences. More importantly, we’ll unpack the “why” behind each choice: how we match tools to learning goals, cognitive load, application, and desired levels of interaction. 
Leave with practical engagement strategies and tools that are purposeful, scalable, and budget-conscious; no premium integrations required. 

During our inaugural year in partnership with the Center on Rural Innovation’s Artificial Intelligence Consortium (CORI-AI Consortium), Emporia State University (ESU) engaged in a collaborative, community-centered initiative to advance AI literacy and institutional capacity within a rural context. As part of the “Higher Ed AI Consortiums in Rural America” project, supported by Microsoft and LinkedIn, ESU partnered with Emporia Main Street and the Emporia Public Library to design and implement a scalable and sustainable framework for AI education delivery. What transpired from this partnership was the development of a flexible “template app” that supports the delivery of repeatable workshops across diverse audiences. Grounded in a train-the-trainer framework and a growing community of practice, the model enables facilitators to maintain consistency while adapting content to local needs. The resulting model offers implications for broader adoption, contributing to workforce readiness and regional economic development in increasingly AI-integrated landscapes. This presentation shares both the process and the outcomes of this first year, highlighting lessons learned at the intersection of community engagement and the push for equitable AI understanding, usage, and exploration.