Generative AI event details – 2026

Location

Synopsis

Type

Lamar University EXPO 2026 – May

We will explore strategies for using AI in ways that preserve student agency and deepen engagement with discipline-specific inquiry. We will also take an honest look at the challenges AI poses for academic integrity and student trust. We’ll consider how writing assignments can be redesigned not just to deter AI use, but to make authentic student writing more meaningful and more visible. Throughout, the focus remains on student learning outcomes: what do we actually want students to walk away knowing and being able to do, and how does AI help or hinder that goal?

Plenary talk on AI and teaching; 1-hour;
– “Writing With (and Without) AI: Practical Strategies for the Humanities & Liberal Arts Classroom”

2026 Transformative Learning Conference – March

As generative AI moves into more and more places, instructors continue to wonder how to encourage students to do their coursework. Are there ways to help nudge students into making good and ethical choices when it comes to how GenAI fits into their education?

This study looks at an attempt to nudge students into making ethical and informed choices about how and where to use (or not use) GenAI during educational work. Student responses are featured to show if and how their GenAI use shifted after researching and writing about the university AI policy and the academic misconduct policy.

50-min interactive presentation;
– “Does interacting with the university AI policy influence students’ actual behaviors?”

Rogers State University professional development day – Feb 2026

This interactive workshop helps faculty develop assignments and policies for AI integration in their courses. Through structured activities, participants will draft AI syllabus policies aligned with TILT principles, design AI transparency assignments for their disciplines, scaffold process-based assessments, and create tasks that acknowledge AI tools using local knowledge and personal insight. This workshop emphasizes practical application over theory—you’ll spend much of the time creating materials for YOUR classroom.

2-hour interactive workshop;
– “Practical AI Strategies for Your Classroom: A Hands-On Workshop”

Rogers State University professional development day – Feb 2026

This keynote discusses practical concerns faculty face when integrating AI into their teaching. Drawing on recent research showing that a majority of students now use AI tools to help with educational tasks, the presentation discusses assessment challenges and considers alternative evaluation methods. Faculty will learn frameworks for building students’ critical AI literacy—teaching them to evaluate outputs for accuracy, bias, and completeness. The session concludes with ethical considerations around AI use in education, next steps that faculty can implement in their courses, and time for questions.

50-min keynote with Q&A;
– “AI in the Classroom: Practical Strategies for Faculty”

2026 Teaching and Learning Symposium. Illinois State University – Jan

This interactive workshop helps faculty develop assignments and policies for AI integration in their courses. Through structured activities, participants will draft AI syllabus policies aligned with TILT principles, design AI transparency assignments for their disciplines, scaffold process-based assessments, and create tasks that acknowledge AI tools using local knowledge and personal insight. This workshop emphasizes practical application over theory—you’ll spend much of the time creating materials for YOUR classroom.

50-min workshop;
– “Practical AI Strategies for Your Classroom: A Hands-On Workshop”

2026 Teaching and Learning Symposium. Illinois State University – Jan

This keynote discusses practical concerns faculty face when integrating AI into their teaching. Drawing on recent research showing that a majority of students now use AI tools to help with educational tasks, the presentation discusses assessment challenges and considers alternative evaluation methods. Faculty will learn frameworks for building students’ critical AI literacy—teaching them to evaluate outputs for accuracy, bias, and completeness. The session concludes with ethical considerations around AI use in education and next steps that faculty can implement in their courses.

Keynote;
35 min talk;
– “AI in the Classroom: From Philosophy to Practice”