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Harnessing the Power of AI in Teaching and Learning
No full textExperience the educational revolution through the integration of Artificial Intelligence (AI). This presentation explores AI\u27s multifaceted role in education, split into two parts. Part 1 unveils AI tools reshaping teaching methods, enhancing personalization, and expediting game prototyping via AI chatbots and text-to-3D technology. Part 2 delves deeper, showcasing advanced AI applications like machine learning for creating intelligent game experiences. Witness practical examples and live demonstrations, marking a new era in educational and gaming landscapes
Optimization of an Immune Assay to Detect Binding of NOD2 to Staphylococcus Aureus
Get PDFStaphylococcus aureus, a gram-positive, commensal bacterium, is the cause of a multitude of opportunistic diseases and infections. While S. aureus has evolved ways to escape innate immune responses in the host, the mechanisms are not fully understood. One area of active research involves mechanisms by which S. aureus avoids detection by Pattern Recognition Receptors (PRRs), such as Nuclear Oligomerization Domain 2 (NOD2), present on the surface of and inside innate immune cells. This study aimed to design and optimize an assay that can be utilized to investigate S. aureus components that contribute to the activation of NOD2 receptors. The assay was designed using one wild type and two bacterial strains from the Nebraska Transposon Mutant Library (NTML), murine NOD2 transgenic cells, and two detection systems. I hypothesized that both mutant strains would have differential binding to NOD2 compared to the wild-type strain. Results showed that only one mutant strain, USA300_ 1095, which codes for the carA gene showed differential binding with our detection protocols. While this study focused on optimizing the assay, the protocols created can be expanded to the entire NTML to identify novel S. aureus genes involved in the NOD2 binding pathway
AI in Education: Addressing the Growing Divide and Ensuring Equity in the Digital Age
No full textThis research evaluates a Spring 2024 workshop encouraging faculty to use AI as a teaching resource. It highlighted AI’s potential to enhance learning while addressing concerns about misuse. Key findings reveal inequitable AI use in classrooms and the importance of timely professional development to promote equitable access and teaching practices
Assessing Student Attitudes Toward the Use of Generative AI in Assessment
No full textThis study examines factors influencing university students\u27 acceptance of AI in assessments. Key findings show students value AI tools for feedback and performance assessment based on factors like belief in assessment quality, control over outcomes, and task type (e.g., multiple-choice vs. essays)