Get Full Government Meeting Transcripts, Videos, & Alerts Forever!
Get email alerts on the Ai Literacy topic
No spam. Unsubscribe anytime.
Students unveil a 'Portrait of a Learner' that centers AI literacy, judgment and agency
Summary
A student-led design council presented the district's new "Portrait of a Learner" that defines graduate skills for an AI-driven economy (judgment, integrity, communication, collaboration, advocacy and resourcefulness). Presenters urged using AI as a tool, not a crutch, and proposed classroom guidance and a human-AI-human workflow.
Dr. Corros and members of the student design council presented the district's newly co-designed "Portrait of a Learner," a graduate profile the district says is intended to prepare students for college, career and an economy shaped by artificial intelligence.
Student presenters summarized the community inputs that shaped the profile: surveys and design sessions engaged more than 1,100 community participants and included students, families, staff and leadership. Jaci, a recent graduate, described how students used AI during the college-application process as an example of guided, agentic use: she said she used AI to identify qualities colleges sought but wrote her essays herself and used AI only for feedback.
Student presenters identified six defining competencies (judgment, integrity, communication, collaboration, advocacy and resourcefulness) grouped across three domains: growth within self (judgment and integrity), growth with others (communication and collaboration) and growth within the world (advocacy and resourcefulness). The council emphasized "agency" as the central characteristic: the ability to use tools and make choices that reflect one's own judgment.
Examples and classroom implications: students and staff offered classroom use-cases where AI acts as an assistant (creating practice quizzes, voice-mode Spanish conversation practice, research scaffolds) but not as a substitute for original thinking. One presenter described an engineering project in which research tools and code helped overcome design limits (a marble-sorting funnel and sensor work), using AI as a collaborator for research and iterative problem solving.
Trustees praised the students and asked staff to develop rollout plans, including teacher supports and family-facing materials. Trustee comments stressed the need to map the portrait to day-to-day classroom practice and to teacher professional development so the graduate profile becomes observable in instruction and activities.
What's next: staff said they will continue to refine language, pilot classroom materials, and develop guidance on when and how students should disclose AI use. Trustees encouraged student involvement in next-phase implementation.
