Workshops

2026 Convention Workshops

This year all workshops will be held on Tuesday, November 3 in the morning. You must pre-register for the workshop. Price is $15 before October 27, and $20 up until the day of the workshop.

Pre-Conference Workshops

Session / Presenter Duration Time Description

Beyond Self-Report: Camera-Based HRV for Capturing and Analyzing Real-Time Stress and Anxiety in Educational Research

Ikseon Choi & Kwang Jin Lee

3 hours 9:00am – 12:00pm

Understanding learners' emotional states is critical, yet objectively measuring and analyzing anxiety during learning and performance remains a significant challenge for education researchers. This workshop introduces an accessible, contactless biosensing and analysis solution developed by the authors. It offers (1) camera-based capture of heart rate variability (HRV) as a real-time indicator of stress and anxiety, and (2) a user-friendly tool for rigorous statistical analysis of complex physiological data. Participants gain hands-on experience with both.

Creativity in Learning: Making Your Classroom More Creative

Brad Hokanson

3 hours 9:00am – 12:00pm

Creativity is a mental ability that can be enhanced and which is valuable to educators, designers, and institutions. This session is based on the lessons learned from teaching and researching, as well as offering a creativity course in ten high schools through a dual-enrollment program. Workshop participants will learn to simply evaluate creative potential, to practice activities designed to encourage personal creativity in the class and add creativity to one's work.

From Awareness to Action: The Universal Bridge for Critical and Accessible AI Implementation

Annetta Dolowitz, Crisianee Berry, Nesma Nasr & Rebecca Reese

4 hours 8:00am – 12:00pm

Generative AI is now embedded across education, yet gaps persist between awareness and readiness, accessibility and engagement, and Western and Eastern training approaches. This interactive workshop introduces two complementary, research-informed processes that move educators from AI awareness to critical, accessible, and actionable practice. Participants will apply structured strategies to evaluate AI outputs, strengthen ethical and pedagogical decision-making, and translate readiness into implementation across diverse institutional and cultural contexts.

From Panic to Purpose: A Framework for Addressing Student AI Use in K–12 and Higher Education

M. Elizabeth Azukas

4 hours 2:30pm – 4:30pm

As student use of generative AI has accelerated across K–12 and higher education, educators and institutions have struggled to respond effectively. This workshop bridges theory and practice by demonstrating how the DOT Framework supports coordinated instructional, organizational, and policy responses to widespread student AI use. Designed for faculty, educational leaders, and policymakers, the workshop illustrates how design thinking and open-systems perspectives can move institutions from reactive responses toward intentional, learning-centered action.

The Dangers of “Insta-Research”: Holistic Search in the “Age of AI”

Reed Hepler

4 hours 8:00am – 12:00pm

Many sessions at the 2025 International Convention showed an incomplete and hazardous understanding of how “AI search” compares to other search tools and processes. Participants explore the evolution of research methodologies and information access, from traditional library catalogs to modern AI-powered tools. They compare the benefits and drawbacks of various research technologies and discuss and practice various strategies for combining multiple research tools together. Participants will need a laptop or tablet.

Using Artificial Intelligence (AI) for Qualitative Data Analysis: From Coding to Meaning-Making

Jin Joy Mao & Minkyoung Kim

4 hours 8:00am – 12:00pm

With an increasing number of AI tools adopted for academic purposes, researchers have been exploring their use for research and how they affect research procedures, data analysis, and research reports. The proposed workshop focuses on using AI tools for qualitative data analysis (QDA) and explores new possibilities for coding and analysis. Participants should bring their own laptops and qualitative data; fee-based data analysis tools are not required.