Authors: Michael Wilday Affiliations: Los Angeles Pacific University This poster breaks down the anatomy of various prompting strategies to inspire how we prompt AI.

Authors: Dr. George Hanshaw Affiliations: Los Angeles Pacific University This poster presents a mixed-methods study of Spark, an AI course assistant, and its impact on students’ engagement with Christian worldview outcomes in online courses at LAPU. Students who used Spark demonstrated deeper, more structured, and action-oriented faith reflections and achieved significantly higher course GPAs, even though Likert ratings of worldview understanding did not differ from non-user

Authors: Yao Yang Affiliations: Purdue University This poster introduces eight foundational prompt patterns that help higher education professionals use large language models reliably in research and administrative work. This includes practical techniques such as few-shot prompting, chain-of-thought reasoning, flipped interaction, role specification, and structured output constraints to improve clarity and reduce hallucination. Through real institutional examples—including e

Authors: Obasanjo Fajemirokun Affiliations: Purdue University This proposed qualitative study will examine how secondary school teachers in a Nigerian public school experience and make sense of integrating AI tools into their classroom practice. Five teachers will participate in two rounds of individual semi-structured interviews exploring their perceptions, challenges, and evolving instructional strategies. Interview data will be analyzed using thematic analysis in NVivo to

Authors: Arooj Justin Affiliations: West Virginia University The study seeks to investigate the relationship between the AI usage and well-being of International students at WVU. Through the study, a mixed-method approach will be employed to investigate the subjective well-being perceptions of international students. The study will serve as an opportunity to build and employ a validated survey tool for measuring well-being. The findings will support the advocacy cause for AI

Authors: Asha Hariharan Affiliations: Purdue University Microlearning without strategic alignment often results in content consumption, not behavior change. This project introduces an AI-assisted strategic thinking builder that acts as a structured layer over generative AI to guide instructional decision-making. Through a five-step process - friction analysis, focused strategy, blueprint structuring, implementation timing, and behavioral evaluation - it helps designers create

AI House - Academic Poster

AI role-play chatbots help students practice critical thinking and generate appropriate responses in real time including the use of open-ended questions and reflection statements.