AI in Schools | Leadership Decisions That Matter - Ep. 03 скачать в хорошем качестве

AI in Schools | Leadership Decisions That Matter - Ep. 03

Hosts: Courtney Acosta & Mario Acosta Bios: https://www.theedleadershippair.com/a... Podcast: The EdLeadership Pair – Unfiltered Conversations for Today’s School Leaders 🔗 Connect With Us 📸 Instagram: @edleadership_pair ▶️ YouTube: The EdLeadership Pair 🌐 Website & Newsletter: www.theedleadershippair.com Join our growing community of school leaders navigating today’s challenges together. Let us know what topics you want us to tackle next. Episode Overview AI isn’t waiting for permission to enter schools. The leadership question is whether we shape its use ahead of time—through assessment redesign, transparent expectations, and community-ready policy—or whether we react after problems explode. The episode argues that AI doesn’t have to kill learning or critical thinking… unless we keep assigning work that only asks students to produce answers. • AI didn’t “invent” cheating—it exposed old problems, the real solution is assessment redesign. • Detection tools are unreliable • The episode offers leaders a set of assessment moves that restore validity and preserve thinking: • In-class starts: begin rough drafts, planning, and core thinking in class (devices away when needed) • Processing artifacts: drafts, annotations, planning documents, version history, evidence of thinking • Conferencing: teacher-student check-ins that surface understanding and authorship • Oral defense: students explain reasoning, justify decisions, and demonstrate learning live • AI policy cannot be created by administrators alone. Schools must involve: • teachers, • students, • parents/community. • AI Policy can go wrong if it drops into a community that hasn’t been prepared. • AI can reduce workload without diminishing expertise—if implemented correctly. • Where AI can help most: • Lesson planning / unit design • Grading (especially pattern-finding, rubric alignment, trend analysis) • But AI output is often “garbage” if teachers give it vague inputs. The winning approach is: • invest upfront in good prompting (targets, learner needs, constraints), • then edit and refine rather than start from scratch. • Education can no longer be primarily about producing content (answers, essays, solutions). AI can generate products. Therefore, the value shifts to what humans can do: • justify • defend • evaluate • apply • transfer • explain why • critique the tool’s output • AI only kills critical thinking if we keep assigning work that rewards answers instead of reasoning. Big Ideas from the Conversation 1. AI is inevitable, your leadership stance must be proactive. 2. Stop relying on detection as the primary strategy. Redesign assessment instead. 3. Make learning visible again: drafts, conferencing, oral defense, in-class starts. 4. Adopt transparency norms: tool used, prompts given, edits made. 5. Policy must be co-built with stakeholders, especially parents and students. 6. Use AI to reduce burnout, not remove teachers. Automate tasks, preserve judgment. 7. Shift outcomes upward: justification, application, critique, transfer. Leadership Actions Recommended in This Episode 1. AI is inevitable—your leadership stance must be proactive. 2. Stop relying on detection as the primary strategy. Redesign assessment instead. 3. Make learning visible again: drafts, conferencing, oral defense, in-class starts. 4. Adopt transparency norms: tool used, prompts given, edits made. 5. Policy must be co-built with stakeholders—especially parents and students. 6. Use AI to reduce burnout, not remove teachers. Automate tasks, preserve judgment. 7. Shift outcomes upward: justification, application, critique, transfer.