AI Symposium

Join your colleagues for this year’s AI Symposium! Morning sessions, facilitated by your fellow Highline faculty, will provide opportunities for discussion, idea-sharing, and practical application of learning about genAI in higher education. 

The event will culminate with a virtual keynote from Dr. Brandeis Marshall, Data Equity Specialist and former college professor. She is the Founder and CEO of DataedX Group, a data ethics learning and development agency for educators, scholars and practitioners to counteract automated oppression efforts with culturally-responsive instruction and strategies. Brandeis centers her work and impact on making data and AI concepts snackable to understand for practical implementation from the classroom to the boardroom.

Schedule:

9:00 to 9:50 a.m.

• How to Talk to Students About AI with Prairie Brown and Katie Straton, in-person (9-109).
  • This workshop will provide a framework for understanding the intersection of academic integrity and artificial intelligence, including possible scenarios for AI tool use and a deep-dive into integrating AI literacy in assignments.
• AI for All: Empowering Multilingual Learners for College Success with Monica Lemoine and Bevin Taylor, on Zoom (see below).
  • Let’s explore how AI tools can create a more inclusive learning environment for students whose first language may not be English. We’ll share concrete ways in which AI tools can help multilingual/ESOL students scaffold knowledge-building, lecture and text comprehension, and language fluency development for confidently expressing their knowledge in college classes. We’ll also hear from multilingual students themselves on how AI tools have impacted their learning journey. Come away with inspiration and actionable ideas for leveraging AI tools to support our linguistically diverse students.

10:00 to 10:50 a.m.

• Working Smarter, Not Harder: Leveraging AI to Enhance Educator Efficiency and Effectiveness with Rhiannon Hillman, in-person (8-207) and on Zoom (see below).
  • This workshop outlines practical applications of AI tools like Claude to streamline educators’ workflows, reduce administrative burden, and enhance teaching effectiveness without compromising educational quality. Background: Educators face increasing demands on their time, from lesson planning and content creation to assessment and personalized feedback. AI assistants offer promising solutions to many of these challenges, allowing teachers to focus more energy on high-impact interactions with students. (I used AI to help me generate these descriptions)

11:00 a.m. to 12:30 p.m.

• Beyond the PDF: Incorporating AI Course Evaluation Analysis for Self-Evaluation with Stephanie Ojeda-Ponce, on Zoom (see below).
  • Do you ever look at student evaluations for the quarter, or past few years, and wonder how to make it make sense? With support from Claude.AI and ChatGPT, I was able to quickly see patterns and insights aligned with the tenure criteria. Join me to practice using AI tools to run quantitative and qualitative data analyses of your course evaluations. We’ll break down a variety of (free and premium) AI tools to analyze 5 years of course evaluations. You’ll receive example prompts and hands-on time generating data analysis and crafting a next-level self-reflection. To prepare, have your course evaluation files ready so you can leave with meaningful student-centered self reflection.
• Integrating Beginning Prompt Engineering Into Your Course with Robin Martin, in-person (9-109).
  • This workshop introduces college faculty from all disciplines to the fundamentals of prompt engineering and explores how to integrate it into their courses. Faculty will engage with a structured Canvas module on teaching beginning prompt engineering and apply these concepts to create or revise a lesson plan.

1:00 to 2:00 p.m.

• KEYNOTE: AI in Education: Bias to Chat GPT with Dr. Brandeis Marshall, on Zoom (see below). The LTC will also screen the keynote in the Faculty Center (9-109), all are welcome!
  • AI has infiltrated society, growing concerns over its future implications within the education space. AI-assisted tools and platforms, like ChatGPT, are disrupting how instructors are able to assess how much a learner knows and can apply without advanced technological assistance. Whether concerns stem from trying to understand what these tools are capable of or tackling the ethics of students cheating with generative AI assistance, educators and the education community at large (board members, administration and parents) must understand the nuances of these tools. In this talk, Brandeis Marshall discusses the tensions of contending with the AI-assisted tools’ consequences, the rapid pace of AI’s new releases, and learner engagement for all levels of education. Brandeis will share small non-disruptive changes to integrate in the classroom and throughout a course that’ll hold learners accountable. Audiences will learn how to navigate the new era of AI-led learning assistance and how to best both navigate and integrate these tools for better learning outcomes.

Related Tenure Criteria:

Effective Teaching

• Show commitment to student learning. This includes planning, organizing, and creating an interactive, cooperative, and mutually respectful learning environment, incorporating research-based practices to teaching and assessment.
• Challenge learners intellectually. This includes encouraging students to ask questions, confront limits, recognize complexities, think critically, and challenge assumptions.
• Demonstrate personal and professional integrity. This includes, but is not limited to, being professional, honest, and ethical in the selection and delivery of course content.

Professional Growth

• Participate in faculty development opportunities related to their discipline, program, and/or methods of teaching.

This AI Symposium will kick off a series of AI-focused events throughout Spring quarter to facilitate learning for faculty and staff as we continue to navigate the evolving landscape of genAI. Information about the AI Spring Series will be shared at the conclusion of the AI Symposium!