Teaching and Learning with AI Conference

The use of AI for improving spoken English proficiency is relatively underdeveloped compared to AI for use in written English. This study uses data from a small cohort of students who were trying to improve their spoken English proficiency to illustrate how the use of AI to improve their spoken English proficiency compares to students who had previous failed to show significant improvement without the use of AI.

This session presents an AI-enhanced cultural training game design project. Grounded in constructivism and AI-as-co-intelligence approach, it offers a tangible pedagogical framework that can be integrated across disciplines by guiding students through: (1) critical engagement with course content, (2) AI literacy, and (3) metacognitive reflection. The project is designed and assessed so AI functions as a thinking partner rather than a shortcut, keeping students accountable for reasoning, intellectual ownership, and ethical use. Participants will leave with clear guidance for applying the AI-as-co-intelligence framework, practical strategies for scaffolding the assignment, and approaches to using instructor feedback to cultivate an ethical, responsible AI mindset in students.

Move from policing AI to professionalizing with it. This session explores a dual-layered approach to AI in experiential learning. First, we share a faculty workflow using Boodlebox to "AI-audit" syllabi, identifying strategic points to infuse AI assignments. We then pivot to the student experience using Quinncia to navigate the AI-driven job market through ATS-optimized resumes, simulated interviews, and LinkedIn development. Participants will discuss "not-easily-answered" questions of equity and agency: Does AI-assisted prep level the playing field for first-generation students, or does it mask their authentic voice to satisfy an algorithm?

Higher education’s AI adoption challenge extends beyond technical training. It requires emotionally intelligent design that addresses fear, trust, and accountability. Drawing from Marshall University’s AI readiness initiatives and evidence-based psychology research on emotion-cognition interaction, this session shares a tested framework combining secure deployment (audit trails, safe innovation spaces, approved tools) with emotional intelligence strategies (emotional anchors, the V-E-V Framework: Validate-Evaluate-Verify, affective feedback loops). Participants will learn why emotional intelligence reduces AI resistance and strengthens ethical judgment and accountability. The session provides adaptable tools: governance templates, emotionally intelligent training designs, and practical strategies to build AI ecosystems that foster faculty and staff trust, understanding, and responsible use.#emotionalintelligence #AIgovernance #facultydevelopment

This session will share the approach and examples of how graduate courses at Columbia University’s School of Professional Studies are applying the scholar-practitioner model to incorporate AI in Teaching to prepare students for an AI-lead Future of Work environment. The session will start with an overview of the school’s AI in Teaching and Learning Community of Practice, governance frameworks, and deep dives/demos of some examples of incorporating AI literacy skills building with AI tools in classes. #AIinTeachingandLearning #TeachingAI #AIUseCases

This session shares practical, classroom‑tested strategies for integrating AI into first‑year writing while maintaining a strong focus on student voice, clarity, and critical awareness. Drawing on an assignment sequence where students compare their writing to AI‑generated versions, the presentation offers concrete methods for teaching conciseness, analyzing rhetorical choices, and guiding students toward responsible, “acceptable” AI use. Attendees will leave with adaptable assignment models, reflection prompts, and implementation tips they can bring directly into their own composition courses.

Commercial AI tools rarely fit our exact teaching context. But you don't need programming skills to build your own tools. This session maps the whole spectrum, from free, no-code options like custom GPTs and Gemini Gems, through locally-run web applications, to fully hosted platforms. I'll share real examples from my experience as a faculty member and CTL leader: tools for student study support, a writing tutor, Canvas integrations, and a flipped classroom social learning platform. Participants at any comfort level will leave ready to move from AI consumer to AI creator, starting exactly where you are.#BuildYourOwnAI  #ConsumerToCreator  #PracticalAITools

As higher education grapples with the complexity and ambiguity of AI, there is a growing need for inclusive opportunities where individuals can make sense of its role in teaching, learning, and creative work. This session shares emerging insights from a cross-institutional dialogue series among faculty, staff, and administrators from a consortium of art and design institutions. Grounded in community-based conversations, the presentation synthesizes themes related to curriculum integration, ethics, literacy, accessibility, privacy, and practice. Participants will gain a clearer picture of shared challenges and promising approaches, along with reflective questions that support teaching and learning with AI amid ongoing ambiguity. 

How are faculty actually teaching with AI? This mixed-methods study explores how full-time faculty at a private liberal arts university integrate artificial intelligence into course design, instruction, assessment, and student engagement. By revealing adoption patterns, faculty readiness, ethical considerations, and institutional supports, the session addresses urgent questions shaping responsible, effective AI use in higher education today.

As Generative AI programs have become household names, especially among college students, it is important to consider how educators can instruct students in the use of AI as a tool. This session shares practical, classroom-tested assignments that position AI as a writing tutor, peer reviewer, and critical reader.The session focuses on implementing assignments that draw on Artificial Intelligence, redesigning rubrics, and using AI-integrated assignments that reduce grading time, improve student writing, and educate students on AI as a tool. Participants will leave the presentation with student assignments, classroom policies, and student takeaways when AI assignments are implemented.