Taking a page from some other awesome educators and adding short descriptions of each talk and workshop. (Synopses mostly written with help from Claude.ai.)
2024
Location
OK
Regents Economic
Development
Council – November
Synopsis
This presentation discusses AI’s impact on Oklahoma’s workforce and higher education landscape. It highlights recent state initiatives, including Governor Stitt’s 2023 “AI task force” and a partnership with Google to provide free AI training certification to workers. The presentation draws on World Economic Forum data showing that AI and big data skills are becoming increasingly crucial for businesses, with companies planning to invest significantly in AI-related reskilling efforts.
Type
Talk; 20-30 min plus Q&A
– “AI tools for the OK
Regents Economic
Development
Council“
Red Deer Polytechnic, Alberta – November
This presentation examines the impact of generative AI on higher education two years after ChatGPT’s release. It discusses how educational practices have evolved since November 2022, particularly regarding writing assignments and assessment methods. The presentation covers current usage statistics, faculty attitudes, and practical applications for both students and instructors. Key topics include the problems with AI detection software, guidelines for ethical AI use in coursework, and recommendations for faculty adaptation. The speaker advocates for teaching AI literacy rather than policing AI use, suggesting a “postplagiarism” approach that emphasizes transparent integration of AI tools while maintaining academic integrity through clear guidelines and policies.
Talk; 1-hour
– “2 Years in and Where are we Now?: How generative AI is impacting higher education and writing assignments“
Moxie (company) – October
Who are we and how do we show that in our writing? How do we ensure that our voices and ideas are shining through and how do we determine when to acknowledge AI’s help in bringing our ideas to the page? This session will look at some of the discussions around ethical, responsible, and transparent AI use in writing assignments.
Talk; 30 min w/ Q&A
– “AI and Authorship: Navigating Some Ethics of AI-Assisted Writing“
University of Tennessee – Chattanooga – September
In this workshop, participants will briefly learn about what LLMs (large language models) are and how generative AI programs might change their courses. We will also have time to think about an assignment and the changes that we might make to embrace generative AIs or help clarify when, where, and how they can be used within our classrooms.
Faculty should bring an assignment with them that they would like to change, if they have one already. If not, if faculty know a course that they are interested in updating, they can bring their Student Learning Outcomes (SLOs) for the course. Participants will have time to discuss ideas in small groups, as well as participate in larger group discussions.
Workshop; 2-hours
– “Workshop: AI, Large Language Models, and the Classroom“
Boodlebox (company) – September
A very brief overview of some of my teaching tactics in writing classrooms. I show my syllabus policy, some assignment guidelines, and give some overall generative AI use ideas.
Talk; 5 min
– “Integrating AI into Assignments”
University of Oklahoma – SLATE conference – September
Western Kentucky University – September
This presentation examines how to reimagine writing assessment in higher education given the emergence of generative AI. The speaker discusses the need to move beyond viewing writing as either purely human or AI-generated, instead suggesting a hybrid approach. Key topics include the limitations of AI detection tools, particularly their negative impact on ESL and neurodivergent students, and practical suggestions for course policy updates. The presentation draws on established educational theories like transformative learning and the flipped classroom to propose new assessment methods, including contract grading and ungrading. It provides specific examples of syllabus language and assignment guidelines that allow for transparent AI integration while maintaining academic integrity.
This presentation provides guidance on integrating AI into higher education, focusing on practical approaches since ChatGPT’s November 2022 release. It addresses both student and instructor perspectives, discussing common AI tools and their applications in academic settings. Key points include problems with AI detection software, guidelines for ethical AI use, and specific recommendations for course policies. The speaker advocates for developing AI literacy rather than focusing on preventing AI use, providing examples of syllabus statements and assignment guidelines that allow for transparent AI integration. The presentation emphasizes the importance of adapting teaching practices while maintaining academic integrity through clear guidelines and thoughtful implementation.
Talk – 50 min with Q&A
– “Beyond the Human/AI Binary: Reimagining Writing Assessment in the Age of Generative AI”
Talk; 1-hour with Q&A
– “AI Integration: Finding your path forward“
Community of Oklahoma Instruction Librarians (COIL) – July
This presentation focuses on the role of librarians in facilitating AI integration within academic settings. It covers foundational concepts about AI and Large Language Models (LLMs), exploring various AI tools for writing, research, grant writing, and publishing. The speaker emphasizes librarians’ unique position to help faculty, students, and staff navigate AI tools effectively, encouraging experimentation rather than fear. The presentation includes practical resources from the University of Arizona’s library guide, ethical principles for AI use, and specific recommendations for academic applications. It concludes with suggestions for how librarians can promote responsible AI use while supporting their academic communities.
Keynote; 1-hour with Q&A
– “unCOILed: AI and librarians“
MYFest (organization) – June
Who are we and how do we show that in our writing? That is one of the big questions that surrounds how AI might be used in writing assignments and professional publications. How do we ensure that our voices and ideas are shining through and how do we determine when to acknowledge AI’s help in bringing our ideas to the page.
This session will look at some of the discussions around ethical, responsible, and transparent AI use in writing assignments. There will be time allotted for questions, so please come ready to engage in discussion on these ideas.
Talk; 1-hour with Q&A
– “AI and Authorship: Navigating the Ethics of AI-Assisted Writing“
1EdTech (company) – June
Artificial Intelligence (AI) can revolutionize higher education if instructors and administrators are willing to take on the challenges. In this presentation, we explore the landscape of AI adoption within Oklahoma’s higher education sector, examining it through the lenses of teaching, policies, and IT.
From the teaching perspective, we discuss AI augmented instructional methods along with how to enhance personalized learning experiences and address diverse student needs. We will discuss AI tools and their impact on student engagement, retention, and academic success.
Talk; 30 min co-talk with Amanda Keesee
– “Navigating AI Integration in Higher Education“
Westfield State University – May
This presentation provides a comprehensive overview of teaching in the age of AI, focusing on practical implementation strategies for educators. Key topics include understanding Large Language Models (LLMs), addressing student AI use, moving away from AI detection tools toward ethical use policies, and developing effective prompting techniques. Dr. Dumin emphasizes AI literacy, providing specific ideas for classroom activities and guidelines for incorporating AI tools into assignments. The presentation includes sample syllabus language and assignment policies that promote transparent AI use while maintaining academic integrity. It concludes by connecting current AI pedagogy to established educational theories and offering concrete steps for instructors to move forward with AI integration.
Talk; 1-hour with Q&A
– “Teaching in the Age of AI“
Colorado State University – May
This presentation discusses AI’s role in academic settings, particularly for faculty and graduate students. It covers the AI assessment scale, definitions of AI, and commonly used language models. The speakers address student cheating concerns, noting that attitudes toward AI use in academics are evolving from viewing it as cheating to seeing it as a tool. She discusses why AI detection tools are problematic and advocate for shifting toward ethical AI use. The presentation explores how AI can be used for research, grant writing, and publishing, while emphasizing the importance of teaching AI literacy. It concludes with ethical considerations and guidelines for departmental AI policies.
Talk; 1-hour co-talk with Stephen Bauchard
– “AI & Research, for Faculty and Graduate Students“
OK-INBRE (OKLAHOMA IDEA NETWORK OF BIOMEDICAL RESEARCH EXCELLENCE) – May
This presentation explores the role of AI, particularly Large Language Models (LLMs), in academic research and writing. Dr. Dumin discusses popular LLMs like ChatGPT, Claude, and Gemini, emphasizing their limitations. The talk covers AI research tools including Consensus, Elicit.org, Scite.ai, and ChatPDF, and their applications in grant writing and publishing. Dr. Dumin provides practical advice on AI prompting, noting that detailed prompts yield better results. She cautions about AI’s tendency to hallucinate information and generate unreliable graphics, concluding that while AI has its place, human critical thinking remains essential.
Keynote; 1-hour
– “AI & Research, A Technological Look Forward”
McHenry Community College – April
AI tools seem to be everywhere now, leaving educators wondering how to incorporate AI responsibly into their teaching. This talk touches on the current state of AI in higher education and offers practical strategies for integrating AI while maintaining academic integrity. Through discussions of pedagogical theories like the flipped classroom, transformative learning, and scholarship of teaching and learning, Dr. Dumin provides a framework for embracing AI as a learning tool.
Key takeaways include developing AI literacy and usage guidelines with students, rethinking assessment through a process-focused lens, and prioritizing critical thinking over AI “plagiarism patrols.” Rather than being threatened by AI, educators are urged to guide students in ethical, transparent, and responsible AI augmentation of their own work. With thoughtful implementation, AI can be leveraged to promote higher-order skills desperately needed in the workforce.
Talk; 1-hour with Q&A
– “Wait, My Paper Wrote Itself?” Unpacking the Impact of AI on Education”
CAPCSD (Council of Academic Programs in Communication Sciences) – April
In this workshop, participants will briefly learn about what LLMs (large language models) are and how generative AI programs might change their courses. We will also have time to think about an assignment and the changes that we might make to embrace generative AIs or help clarify when, where, and how they can be used within our classrooms.
Faculty should bring an assignment with them that they would like to change, if they have one already. If not, if faculty know a course that they are interested in updating, they can bring their Student Learning Outcomes (SLOs) for the course. Participants will have time to discuss ideas in small groups, as well as participate in larger group discussions.
Workshop; 4-hour
– “Empowering Teaching: Integrating AI in Education“
OKLIS (from Online Consortium of Oklahoma) – April
Instructors are worried about students using AI in ways that might harm them or their learning goals. But there are ways to mitigate this concern and still keep high standards in your courses. This session will focus on helping students learn to use AI responsibly, ethically, and transparently.
Talk; 25-min
– “AI as a tool: Ethical and Responsible AI use“
OK Council of University Presidents on AI – March
This presentation focuses on integrating AI into writing education. Dr. Dumin outlines practical approaches to AI literacy, including having students analyze LLM outputs, use AI for brainstorming, outlining, and drafting, and reflect on their AI usage. The presentation includes a real example of using Claude for generating research questions about tree frogs, and describes an IRB-approved study in English Composition where students used different LLMs for research and writing. Dr. Dumin warns against AI detectors, noting they disproportionately flag ESL, remedial, and neurodiverse students’ writing while tech-savvy students can evade detection.
Talk; 20-min
– “AI in the writing classroom“
University of Central Oklahoma – Mass Comm dept AI panel on grading – March
Panelist discussed how can educators effectively integrate AI grading into their teaching practices and other related questions.
Moderator; 1-hour panel
Texas A&M – Kingsville – March
This presentation explores the impact of AI on education since ChatGPT’s launch in November 2022. Dr. Dumin discusses how educators are adapting to AI’s capabilities. The presentation outlines ways both students and instructors can use AI effectively, including brainstorming, drafting, and creating study guides. Dr. Dumin advocates for developing clear AI guidelines, promoting AI literacy, and moving away from AI detectors. She emphasizes that while AI is here to stay, it should enhance rather than replace meaningful learning experiences.
Keynote; 1-hour with Q&A
– “Wait, My Paper Wrote Itself?” Unpacking the Impact of AI on Education”
POIETO – AI panel at Oklahoma City Community College – February
Panelists answered questions about how generative AI is impacting their areas in higher ed.
Panelist; 1-hour symposium
Texas Tech – 20th Annual Advancing Teaching and Learning Conference – February
What are large language models and how can we harness their power in the classroom while still maintaining high academic standards for our students and ourselves? Come hear Dr. Laura Dumin talk about why learning and knowledge are still important in the age of AI, how we set academic integrity standards in our classrooms, and how to encourage students to come on that journey with us.
Keynote; 1:15
– “Large Language Models and Academic Integrity: How they coexist“
Texas Tech – 20th Annual Advancing Teaching and Learning Conference – February
What are some ways to incorporate large language models into your classroom? Dr. Laura Dumin will host a workshop to help faculty think through where and how to incorporate AI programs into your assignments. Faculty are welcome to bring an assignment that they’d like to update or come and hear what others are doing to gain ideas for assignment changes. This workshop is great for beginner and intermediate levels of AI classroom integration.
Workshop; 1:30
– “Workshop: Large language models and assignment sheets“
Stark State College – January
In this workshop, participants will briefly learn about what LLMs (large language models) are and how generative AI programs might change their courses. We will also have time to think about an assignment and the changes that we might make to embrace generative AIs or help clarify when, where, and how they can be used within our classrooms.
Faculty should bring an assignment with them that they would like to change, if they have one already. If not, if faculty know a course that they are interested in updating, they can bring their Student Learning Outcomes (SLOs) for the course. Participants will have time to discuss ideas in small groups, as well as participate in larger group discussions.
Workshop; 2 hours
– “Workshop on AI”
Oklahoma City Community College – January
This presentation explores AI’s role in education, particularly focusing on writing and Large Language Models (LLMs). Dr. Dumin clarifies that while LLMs aren’t sentient or always reliable, they can be valuable tools for brainstorming, drafting, and providing feedback. The presentation includes practical examples of classroom implementation, including syllabus statements and assignment guidelines that allow for transparent AI use. Dr. Dumin advises against AI detectors, noting they may unfairly impact ESL and neurodiverse students. She emphasizes developing AI literacy through hands-on activities and advocates for clear expectations and open dialogue with students about AI use in academic work.
Talk; 1-hour
– “AI and Writing“
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