Teach Better Tomorrow

Explore how a hinge question can help teachers spot misconceptions in real time and decide whether to move on or reteach. The episode breaks down the four rules for crafting effective questions, from whole-class responses to distractors that reveal exactly where students are getting stuck.

This episode explores the idea that many classroom misbehaviors are really skill gaps—like impulse control or task initiation—rather than character flaws. It also breaks down a practical Preview-Warning-Consequence framework for teaching replacement skills in the moment, plus an AI prompt to generate customized responses fast.

Discover a quick, research-backed ELA routine that helps students unpack dense text by studying one rich sentence at a time. The hosts break down the five-step Juicy Sentence Protocol, from chunking and vocabulary mapping to sentence imitation, with an assist from AI for lesson planning.

A practical look at using the Five Whys classroom protocol to push students beyond polite, surface-level responses and into real textual reasoning. The episode also covers how the method can uncover warrants, support richer discussion, and why your prompt has to be strong enough to withstand repeated questioning.

Explore how having students generate their own quiz questions can deepen retrieval practice, boost comprehension, and reveal whether they truly understand the material. The conversation also breaks down research on question generation, the gap between rereading and active recall, and simple stems to scaffold higher-order thinking.

Explore how a nine-question lesson design checklist can help teachers move beyond busywork and create tasks that demand real thinking, relevance, and productive struggle. The hosts also show how AI can act as a quick planning co-pilot, helping teachers pressure-test activities before they hit the copier.

Learn a simple classroom feedback protocol that helps students understand what they did, why it matters, and exactly what to do next. The hosts also connect it to Hattie’s feedback research and share a handy AI prompt for faster, more actionable comments.

This episode breaks down a practical way to differentiate without planning three separate lessons: one learning goal, three structured choice columns, and clear student options for access, process, and demonstration. It also covers how tight limits, a quick launch, and strong structure keep choice from turning into classroom chaos.

This episode explores how follow-up questions can move students beyond recall and into analysis, using Bloom’s Taxonomy and Vygotsky’s ZPD as a practical framework. It also shares a simple planning routine for writing anchor questions, crafting clarifying and pushing follow-ups, and using AI tools to build stronger discussions fast.

Teachers share a fast, practical way to teach revision by having students practice on anonymous paragraphs before applying one targeted move to their own writing. The episode breaks down small-group revision stations, evidence behind the strategy, and a simple transfer step that helps students revise beyond cosmetic edits.

This episode explores why imperfect student responses can reveal real understanding, drawing on retrieval practice, desirable difficulties, and Dr. Janell Blunt’s research. The hosts also share a simple 3, 2, 1, show routine for using low-cost mini-whiteboards to build fast, low-stakes classroom feedback.

Learn how to turn AI from a generic lesson generator into a real planning partner by giving it student context, a sample of your teaching style, and a clear destination. The episode also breaks down a ready-to-use prompt template and why the final 20% of editing still matters.

The hosts break down how a simple greeting at the classroom door can transform student behavior and boost academic engagement, drawing on research from middle school classrooms. They also walk through a practical Tuesday-morning test for making the routine work in real life.

Explore how a single-point rubric can simplify grading, reduce student anxiety, and make feedback more specific and useful. The hosts discuss why blank feedback boxes shift attention from chasing scores to focusing on the actual learning target.

This episode explores how the Frayer Model can replace separate worksheets by keeping all students on the same page while varying the intellectual demand. It also shows how teachers can use AI to create strong exemplars, non-examples, and extension questions that make differentiation faster and more responsive.

Learn how to move beyond the IRE pattern by using Pose-Pause-Pounce-Bounce to keep students thinking, listening, and responding to one another. The hosts share practical classroom examples, sentence stems, common pitfalls, and even an AI prompt to help plan stronger discussion questions.

Renata Salas and Colin Whitfield unpack why isolated grammar drills can hurt writing growth, and why sentence combining is one of the few approaches that reliably improves students’ prose. They share a quick, low-prep routine for using content-connected sentence pairs, scaffolding complexity across the week, and even speeding up prep with AI.

Renata Salas and Colin Whitfield unpack Carl Hendrick’s warning about the “lethal mutation” of cognitive science in classrooms: doing retrieval practice only once. They explain why spaced, low-stakes brain dumps outperform one-off quizzes, how to run the routine in just five minutes, and how AI tools can help teachers build a repeatable schedule.

Discover why task-switching drains teacher energy more than lesson writing itself, and how planning one subject at a time can reduce Sunday night dread. The hosts break down a five-week batching workflow, plus a quick AI prompt to generate a usable skeleton while staying flexible for reteaching and real classroom needs.

Renata Salas and Colin Whitfield unpack Nathan Maynard’s replacement skills approach, reframing classroom misbehavior as a skill gap rather than a character flaw. They share a simple 90-second strategy for addressing blurting, the importance of calm follow-through, and how AI can help teachers script a supportive conversation without losing the human connection.

Renata Salas and Colin Whitfield break down the Situation-Behavior-Impact framework, showing how teachers can turn vague notes like “be specific” into clear, usable feedback. They also add the crucial Intent question, with examples from writing conferences, group work, and a practical AI-assisted workflow for grading faster.

Renata Salas and Colin Whitfield unpack a simple way to differentiate practice using three temporary entry points that let students choose the level of support they need. They explore how choice, scaffolding, and teacher nudging can reduce shame, build agency, and keep challenge within reach across subjects.

Renata Salas and Colin Whitfield explore how adding think time after questions can deepen student responses, boost participation, and improve classroom equity. They share practical strategies for using silence well, from pre-briefing students to asking deeper questions and resisting the urge to rephrase too soon.

Renata Salas and Colin Whitfield break down how verbal rehearsal helps students get unstuck by saying sentences aloud before writing. They share a simple classroom routine, a collaborative paragraph-building activity, and quick AI prompt ideas for generating sentence frames.

Renata Salas and Colin Whitfield unpack why retrieval practice is a learning strategy rather than a quiz, and how Kate Jones’s Retrieval Challenge Grid turns five minutes of class warm-up into powerful spaced, interleaved recall. They share practical setup tips, subject-specific examples, and the research-backed payoff of strengthening long-term retention.