Why Human-in-the-Loop Matters for AI in Education скачать в хорошем качестве

Why Human-in-the-Loop Matters for AI in Education

How can analytics uncover learning potential without reducing people to numbers? Certificates and completion rates mean nothing if they don't change lives. Our expert panel explores how to use learning analytics ethically, moving beyond vanity metrics to measure real impact, balancing transparency with privacy, and keeping humans in the loop when AI systems are probabilistic by nature. The key question: are learners the product, or are we genuinely driving positive outcomes on their behalf? This is a key takeaway from our Insight Jam LIVE! 2025 panel, "Learning Through Insight: How Data Analytics Redefines Human Learning & Skill Development". Check out the full discussion here:    • 🔵 Learning Through Insight: How Data Analy...   Join the Insight Jam today! — https://insightjam.com/ • PANELISTS • William McKnight   / wmcknight   President, McKnight Consulting Group Andrew Madson   / andrew-madson   Instructor, LinkedIn Learning Juan Sequeda   / juansequeda   Principal Researcher, ServiceNow Paul Siegel   / paulsiegel   Founder, Starweaver Sameer Yami   / sameeryami   Founder, Augment Me Vin Mitty   / vinayakmitty   Senior Director of Data Science and AI, PPLSI • CHAPTERS • 0:00 Measuring Impact Beyond Vanity Metrics 1:24 The Probabilistic Nature of AI Analytics 2:56 Human-in-the-Loop Decision Making 3:18 Balancing Transparency with Privacy 5:46 From Insights to Action: Closing the Feedback Loop 7:30 Ethical Data Use: Is the Learner the Product?