Presentations

Presentation Highlights

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GenAI in Education: The ethics playbook
This presentation equips educators with practical tools and strategies to navigate the ethical complexities of generative AI in the classroom. Teachers learn how to guide students in using AI responsibly, from understanding plagiarism and bias to managing data privacy and environmental impact. The session presents a framework of "guardrails" for before, during, and after assignments—such as AI-resistant assessments, decision-making flowcharts, and student responsibility checklists—helping educators set clear expectations and foster academic integrity. Teachers are also encouraged to model transparency, engage in ongoing conversations with students, and explore how GenAI can be thoughtfully incorporated into instruction. The presentation underscores the need for district-level guidance and promotes a balanced, student-centered approach that prepares learners for ethical AI use in college, careers, and everyday life.

AI for the Apprehensive
This presentation supports educators who are uncertain about integrating generative AI into their classrooms. Teachers learn how to balance ethical concerns with the potential benefits of AI, including personalized learning and increased instructional efficiency. The presentation introduces a flexible framework for AI integration, guiding educators through three key roles AI can play: planning, collaboration, and exploration. Participants explore practical strategies for making informed decisions, setting clear boundaries for student use, and maintaining the human element in teaching. Teachers also gain tools for creating “AI-resistant” assessments, leading thoughtful conversations with students about AI use, and adapting instruction based on students’ needs. The session encourages reflection, curiosity, and critical thinking as educators consider how AI can enhance—not replace—authentic learning.

Incorporating Data Literacy Into All Content Areas Getting our students from data to knowledge
This presentation quips teachers with the knowledge and tools to integrate data literacy into any subject area. Educators learn how to help students move from passively encountering data to actively analyzing and using it to make informed decisions. The presentation demonstrates how data skills—such as interpreting charts, graphs, and tables, and using data to support arguments—can enhance literacy, strengthen standardized test performance, and meet state and national standards across the curriculum. Teachers also gain strategies for embedding data-driven inquiry into their instruction without sacrificing content or teaching style. Ultimately, the session empowers educators to create more informed, critical thinkers by recognizing and leveraging the data-rich experiences students already engage with daily.

To Use or NOT to use ChatGPT? Helping students use generative AI tools responsibly
This presentation focuses on how teachers can empower students to make informed, ethical choices about when and how to use generative AI. Educators learn strategies to help students evaluate the appropriateness of AI use, recognize the risks of plagiarism, bias, and misinformation, and consider issues like data privacy and environmental impact. Through tools such as decision-making flowcharts, student responsibility checklists, and guided reflection, teachers can support students in developing accountability around AI use. The session emphasizes the importance of modeling transparency, fostering open dialogue, and helping students distinguish between when AI can enhance learning and when it may undermine it.

Organizing and Facilitating and Hour of Code Event: Introducing students to computer programming
This presentation highlights how to coordinate a large-scale coding event within the constraints of school schedules, staffing, and technology infrastructure, while sparking student and teacher enthusiasm. Highlighting strategies for engaging administrators and faculty, managing technical logistics, selecting appropriate tutorials, and supporting diverse learners; including language learners and students with no prior coding experience. Educators will leave with practical ideas for promoting digital literacy, integrating coding into classroom or library instruction, and encouraging students to think critically, troubleshoot collaboratively, and build confidence as problem-solvers. The presentation also advocates for early exposure to computer science as a path to future-ready skills and careers, making a strong case for librarians and teachers to champion coding in their own schools.