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DESIGNING FOR DISCOMFORT

The Challenge (15 minutes)

The Reflection (15 minutes)

The Systemic Barrier (10 minutes)

The Theory (10 minutes)

The Application (10 minutes)

Check for Understanding Quiz

Exit Survey

Redesigning Learning Through Productive Struggle: Neuroscience, Systems, and Practice is a fast, hands-on course for educators who want students to think deeply, persist through uncertainty, and build durable understanding. In under 70 minutes, you will experience an intentionally ambiguous challenge, examine your own struggle data, and connect that experience to brain science—desirable difficulties, error-driven learning, and consolidation through retrieval and variation. Then, you will identify the systemic pressures that often short-circuit sense-making and learn how to navigate them without sacrificing rigor or equity. You will leave with a classroom-ready redesign of a lesson into a Black Box or Symbol Engine challenge, complete with constraints, facilitator moves, success criteria, and a pilot plan that fits your real-world context. This course blends cognitive neuroscience, practical routines, and system-aware strategies so you can preserve productive struggle—supporting persistence, reasoning, and transfer—while maintaining psychological safety for all learners.

(Anna: PS without AI/VR) Redesigning Learning Through Productive Struggle: Neuroscience, Systems, and Practice

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            <p>Learning advances when learners wrestle with uncertainty, generate and test ideas, and make errors that inform the next attempt. Redesigning Learning Through Productive Struggle: Neuroscience, Systems, and Practice equips educators to deliberately design for that kind of constructive friction. Grounded in brain-based research and pragmatic classroom moves, the course blends hands-on problem solving, reflective analysis, and system-level strategy so participants can cultivate persistence, sense-making, and equity-centered participation—without sacrificing rigor or clarity. Rather than front-loading answers, you will learn how to structure challenges that invite students to externalize thinking, tolerate ambiguity, and iterate toward understanding.</p>

<p>The journey begins by designing for discomfort. In a short, intentionally ambiguous challenge, you will experience the emotions and strategies that surface during cognitive disequilibrium—timeboxing, pattern spotting, hypothesis testing—while norms for psychological safety keep the struggle productive. Reflection then connects your lived experience to neuroscience: desirable difficulties, error-driven learning, retrieval, variation, and how feedback latency shapes consolidation. With that foundation, the course zooms out to examine systemic barriers—standardized testing, pacing guides, and coverage pressures—and identifies leverage points like assessment redesign and performance tasks that value reasoning over recall. You will examine the theory behind productive struggle, including how effortful retrieval and error correction strengthen neural pathways, and establish equity guardrails such as multiple entry points and normalization of error as data. Finally, you will apply these insights by redesigning a lesson into a Black Box or Symbol Engine challenge, specifying constraints, artifacts of thinking, and facilitator moves that preserve struggle without abandonment, and crafting a pilot plan with success criteria and data collection. A brief quiz and exit survey help solidify understanding and inform next steps for implementation.</p>
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