feedback
7 free lessons tagged feedback across Business, AI, Robotics. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Receiving Feedback and Building a Team Where It Flows
Feedback only helps if people will say it and can hear it. Learn what psychological safety research found about why problems go unreported, how to receive feedback without defending against it, why rating-based reviews mostly measure the rater, and how to design a team routine where feedback keeps moving.
Giving Feedback That Works: Specific, Task-Focused, Forward-Looking
Turn the feedback research into a method. Learn the three questions useful feedback answers, how the Situation-Behavior-Impact format works and which parts of it are evidence versus convention, how to rewrite vague comments into actionable ones, and how to run a corrective conversation.
What Feedback Actually Does: The Evidence Behind the Advice
Feedback improves performance on average, yet in the largest meta-analysis over a third of feedback interventions made performance worse. Learn what the research found, why feedback that pulls attention toward the person backfires, and which popular rules of thumb have no evidence behind them.
AI for Lesson Planning and Personalized Materials
A hands-on guide to the teaching tasks where AI saves the most time. Learn how to generate strong lesson plans from good prompts, create worksheets and quizzes, differentiate the same content across reading levels and learners, and draft meaningful feedback on student work, all with the teacher review that keeps materials accurate and classroom-ready.
Closing the Loop: Microcontrollers and Feedback
Open-loop control is a guess; closed-loop control is a conversation. Learn why feedback transforms an unreliable robot into a reliable one, how the read-compute-actuate cycle works, what microcontrollers and single-board computers each do best, and why loop timing is just as critical as the algorithm running inside it.
Feedback Control Fundamentals
Understand why feedback beats open-loop, how the classic closed-loop architecture works, and what the key performance metrics — rise time, overshoot, settling time, steady-state error — actually mean for a real system.
Human-in-the-loop systems: where to put humans in an AI pipeline
Not every AI feature should be fully autonomous. Here's where to insert humans for the biggest reliability win, the UX patterns that scale (confidence-gated review, sample audits, escalation), and the anti-patterns that turn HITL into a meeting factory.