Teaching and Learning with AI Conference

As AI tools become increasingly accessible to students, many instructors struggle to integrate them without weakening learning, assessment, or professional judgment. This session introduces a practice-based framework for leaning in carefully to AI use in experiential college courses. Drawing on implemented assignments from Organizational Behavior and Human Resources courses, the session presents five design principles: purpose alignment, cognitive engagement, professional judgment, ethical visibility, and assessment transparency. Together, these principles help instructors embed AI into coursework while preserving learning integrity. Participants will leave with transferable assignment design strategies applicable across disciplines.Keywords: AI Pedagogy, Assessment Design, Faculty Development

Students are using ChatGPT and other AI writers to brainstorm, outline, draft, paraphrase, and polish, often without knowing where academic integrity lines are. In this 30-minute session, we will walk through an AI-assisted writing workflow and flag which uses are low-risk, which should be disclosed or cited, and which cross into plagiarism or misconduct. Participants will leave with an “Is this OK?” checklist, sample disclosure language, and quick assignment strategies that reduce confusion. #AcademicIntegrity #Plagiarism #GenerativeAI

This presentation explores the use of generative technologies such as Claude.AI and Chat GPT 5 to enhance writing planning and drafting as a tool for highschoolers, focusing on 10th grade pre-IB English. Given the writing demands the IB-HL English courses require, students struggle with structure, critical analysis, and citation formats. Through prompt engineering, students learned to craft targeted inputs while developing awareness of plagiarism boundaries. Teachers can upload rubrics to create graphic organizers, structure websites with multimodal components, reducing workload and learner diversity. Participants will receive a prompt engineering framework, academic integrity guidelines, and ELA scaffolds adaptable for varied levels. Keywords: Generative AI, prompt engineering, academic integrity