Building Thinking Classrooms
(NOTE: This webinar took place on March 14, 2017.) We know that problem solving is an effective way for students to learn to think mathematically and to acquire deep knowledge and understanding of the mathematics they are learning. Simply problematizing the mathematics curriculum, however, does not help constitute the practice that teachers want or students need. Equally, infusion of problem-based learning into the mathematics curriculum does not help with the transformations we want to see in our classrooms. What we need are a set of tools that, along with good problems, can build thinking classrooms. In this presentation, Dr. Peter Liljedahl looks at a series of such tools, emerging from research, that can help to build an environment conducive to problem-based learning. He will unpack his research that has demonstrated that a problem-based learning environment and culture can quickly be established, even in classrooms where students resist change.

Farewell to the GMD

Building Thinking Classrooms: Six Years Later

Beyond Right Answer: Math Tasks that Foster Agency and Identity

Street Data from Implementing Building Thinking Classrooms in Middle School

Play Borel! Testing your Probability Intuition and Confidence!

SOAP Notes & SMART Goals Explained | Social Work Treatment Planning Made Easy

From Math by Memorizing to Math by Understanding

Which country has the best education in the world? - The Global Story podcast, BBC World Service

Deep Dive into LLMs like ChatGPT

03.23.2026 Tom Novack Spruce Mountain Nuts & Bolts CIPA presentation

Think Fast, Talk Smart: Communication Techniques

Finding Joy in Math

Machine Learning for Everybody – Full Course

WEBINAR: "The Digital Delusion: How EdTech Harms Our Kids' Learning" with Jared Cooney Horvath

Abstract Black and White wave pattern| Height Map Footage| 3 hours Topographic 4k Background

Statistics for Good: Let Your Students Speak for the Data!

Talk Math 2 Me: Mathematics and Mindfulness

How To Speak Fluently In English About Almost Anything

Gil Strang's Final 18.06 Linear Algebra Lecture

