Friday SLO Talk (October 20, 2023)
| First Presentation: Rodrigo Gomez is an Assistant Professor of English at San Diego Miramar College, where he’s been teaching transfer-level composition and literature courses since 2016. Professor Gomez has a passion for rhetoric, pedagogy, and poetry. He also has interest in gamification, edtech, and web3 technologies like artificial intelligence (AI) and the metaverse, specifically how they pertain to making education more engaging, relevant, and impactful for students. This presentation seeks to demystify artificial intelligence (AI) as we delve into AI’s history, its present applications, and its potential impact on assessments and grading. Moreover, we will discuss the advantages and challenges of incorporating AI within the realm of outcomes assessment. I. Introduction 1. Introduction and context 2. Overview of AI tools, including ChatGPT II. Understanding AI in Education 1. Role of AI in educational settings 2. Introduction to various AI tools III. Interacting with AI 1. The need to prime AI and adjust prompts for consistent responses 2. The ongoing conversation and engagement with AI tools IV. Challenges with AI in Education 1. Time-consuming nature of using AI for assessment 2. The quest for better AI tools and solutions V. Successful AI Applications in Education 1. Utilizing chatbots for 24/7 student support 2. Potential applications in virtual classrooms 3. Personalized lessons, smart content, and remote learning opportunities VI. Addressing Key AI Issues 1. Issues related to accuracy, biases, and data privacy 2. The importance of equity, accessibility, and teaching AI literacy 3. Shifting from policing AI usage to teaching responsible usage VII. Syllabus Policy for AI 1. Presenting a syllabus policy for AI use in the classroom 2. Guidelines for responsible AI usage in assignments VIII. Resources for Educators 1. Sharing various resources for educators interested in AI in education 2. Encouraging educators to submit to a call for papers 3. Announcing upcoming presentations IX. Conclusion and Takeaways 1. The increasing prevalence of AI in education 2. The significance of responsible and ethical AI usage 3. The potential of AI to improve learning outcomes and equity in education Next Presentation: Ashley Berry, M.S., is an Adjunct Faculty for the Psychology Department at California State University, Dominguez Hills and Golden West College. Additionally, she is the CEO and Founder of The Higher Ed. Institute, an educational consulting firm that specializes in exchanging high impact teaching practices with other educators. Her expertise and areas of interest lie in promoting the effective and ethical use of artificial intelligence in the classroom, universal design for multimodal learning environments, diversity, and anti-racism practices and how cognition combined with human experience influence the learning process. Zola Aponte M.S., is a Sociology Professor, Instructional Designer & Learning Developer. Her expertise in adult learning theories, commitment to fostering diversity, equity, inclusion, and accessibility, and over a decade of academic experience enables her to create engaging learning environments designed uniquely for adult learners. Zola is passionate about incorporating artificial intelligence into higher education and excels at using innovative approaches to enhance teaching and learning experience to optimize learning outcomes. In this engaging presentation, we’ll explore how educators can harness the power of artificial intelligence (AI) to transform the way we assess student learning. Come and discover how AI-driven assessment techniques improve accuracy, efficiency, and personalization in the learning process. We’ll offer some step-by-step processes, real-world examples, and exciting insights into how we are currently implementing these strategies in our own classrooms. I. Presentation Introduction: 1. Presenters introduce themselves. II. AI Capabilities: 1. AI’s potential in analyzing and creating assessments. 2. Emphasis on using AI for creating assessments that are inclusive and equitable. III. Benefits of AI in Education: 1. Consistency in grading, reducing bias, increased efficiency, scalability for large classes. 2. Immediate feedback for students, objectivity in grading, and focusing on higher-level tasks. 3. Multilingual support for translating assignments. 4. Generating data and insights about student performance for personalized learning. IV. Cheating Prevention: 1. The example of nursing students downloading and selling test banks. 2. Use of AI to create unique and varied questions, making it difficult for students to cheat. 3. Randomization of quiz questions to deter reliance on notes. 4. AI providing feedback on right and wrong answers. 5. Using AI to create question variations and how it hides original answers. V. Assessment Analysis: 1. Utilizing AI for assessing formative and summative assessments, written assignments, discussions, quizzes, and exams. 2. AI’s ability to check for bias, cultural bias, accessibility, and reading levels. 3. Analyzing difficulty and cognitive levels of questions. 4. AI’s role in analyzing past exams and generating new test questions. 5. Information needed for an assessment analysis, including course details, demographics, materials, and past exam data. 6. Demonstrating an example of an assessment analysis request and the generated analysis. |