Understanding Generative AI Through a Pedagogical Lens

DATE: Apr 10, 12:00pm-1:15pm
FORMAT: Online via ZOOM
PRESENTERS: 
Esmeralda Vazquez De Diriye, PhD, EML
Devon Hackelton, PhD, EML
Rachel Van, PhD, CLASS
Richard Feldman, CAFE

Join us to discuss the transformative potential of generative AI in educational settings as a problem-solving tool to creatively enhance teaching and learning. By highlighting real-world examples, we will explore how generative AI can meet the varied needs and interests of students through diverse course content, activities, and assessments.

Join us to discover how generative AI can enhance teaching and support learning amongst our diverse students.

Discipline-Specific AI Tools for Enhanced Learning

DATE: Apr 15, 12:00pm-1:15pm
FORMAT: Online via ZOOM
PRESENTERS:
Dana H. Marshall, PhD, CLASS
Kevin Finch, PhD, ENV
Yajaira Garcia, CAFE

Explore how to effectively leverage generative AI in understanding current trends and practices throughout various disciplines.

Participants will engage in hands-on demonstrations of discipline-specific generative AI tools, learning how to incorporate these technologies into lesson plans, labs, and projects.

Join us to gain practical insights and skills for leveraging AI to enhance learning and prepare students for their future careers.

Crafting Prompts as Teaching Tools

DATE: Apr 24, 12:00pm-1:15pm
FORMAT: Online via ZOOM
PRESENTERS:
Jennie Watson, PhD, EML
Erick Zelaya, CAFE

In this workshop, participants will learn how to craft effective prompts to maximize the potential of generative AI in educational settings. Since the quality of AI output depends on how we communicate with it, we will explore techniques for designing more effective prompts.

Participants will also gain insights into integrating prompts into pedagogy. Specifically, discussing how prompting can enhance student engagement, enrich content materials, foster critical thinking, and support personalized learning. Additionally, the workshop will touch on teaching students to use prompting ethically.

Enhancing Course Alignment With gAI: Bloom’s Taxonomy for gAI

DATE: May 1, 12:00pm-1:15pm
FORMAT: Online via ZOOM
PRESENTER: Brandy M. Jenner, PhD, Teaching & Learning Manager, Anderson IDLX

This presentation opens dialogue about how we use heuristics like Bloom’s Taxonomy to craft SLOs in the new era of Generative Artificial Intelligence. As creation and generation become easier with the help of technology, we must reexamine our courses and what we ask of students. I propose that discernment and questioning skills are at the heart of what students need to be able to do in this new era. Thus, I highlight verbs at multiple levels of Bloom’s Taxonomy related to human discernment and crafting effective questions. Participants will think through how to synthesize and transcend taxonomies to design impactful learning experiences.

About Brandy M. Jenner:
Brandy M. Jenner, PhD is an educational designer/developer, instructor, and education researcher currently working at the Anderson School of Management at UCLA. Brandy’s areas of expertise include: Educational and Faculty Development, Pedagogy, Qualitative Research Methods, Assessment and Educational Measurement, Instructional and Learning Experience Design, and AI in Education.

Designing Assignments and Feedback with gAI

DATE: May 8, 12:00pm-1:15pm
FORMAT: Online via ZOOM
PRESENTER: Yingjie Liu, PhD, Director of Digital Learning Strategies, San Jose State University

Dr. Lie's background is in computer science. Her doctorate is in cognition, instruction, & Learning technologies.

Explore how to design productive activities and assessments that align with our learning outcomes. Faculty will learn how to create assignments where generative AI supports effective and engaging learning.

Join us to discover innovative ways to leverage generative AI in improving the design of assignments and enhancing feedback that enriches the student learning experience.