Season 1

Dive into all things weird and wonderful about classroom pedagogy.

This is a space for teachers at all stages of their career and lovers of learning. Tune in as hosts Justin and Stas unpack different concepts and research that impact the way students learn, the way we teach them and the way we can maximise both.

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Episode 1: 

How much problem-based learning should we be doing with our students?

Episode 1 of The Pedagogue-cast is here and we’re discussing ideas about problem-based and inquiry learning. We look into the question: where do they actually come from?

Episode 2: Coming Soon

What kind of differences should I pay most attention to when personalising instruction?

This week we’re examining personalised instruction. We know there are differences between learners: personalities, preferences, experiences, skills, but do all of these matter the same? Or are only some of them worth paying attention to?

Episode 3: Coming Soon

Memory is weird! But could that weirdness help my students study?

How does memory really work with learning? Are there ways we can learn things efficiently for the long term, without mixing up similar ideas? In Episode 3 of “The Pedagogue-cast” we see if the research literature has any answers.

Episode 4: Coming Soon

Why do my students suck at worded problems?

What’s going on here? Can the research literature help us understand why students have so much trouble with worded problems, and is there anything we can do about it as teachers? We try to get to the bottom of this in the final episode of Season 1 of The Pedagogue-cast.

Meet your hosts

Justin Matthys

A member of the physics research group that discovered the Higgs Boson, Justin swapped his research career for one in teaching. Now, he dedicates his talents to changing the terrible truth that he experienced as a classroom teacher: despite teachers’ best efforts, too many students were graduating with little to no understanding of mathematics. At the Maths Pathway office, Justin works tirelessly to ensure the Learning and Teaching Model is translated into the best possible tools, content and classroom routines.

Stanisław Pstrokoński

After graduating from Cambridge University with an MEng in Chemical Engineering, Stanisław "Staś" Pstrokoński worked as a teacher and private tutor of mathematics and science for several years before transitioning to the education technology sector. He is currently a data scientist at Busuu, where he uses machine learning to improve learning and assessment for hundreds of thousands of language learners. He is also the creator and host of Education Bookcast, a podcast about education research which he started in 2016. An amateur linguist, he speaks nine languages including Mandarin Chinese, Persian, and Hungarian

We'd love to know what you think

Do you have any questions? Or maybe you have stories of your own you want to share in future seasons. Get in touch with us via the form below.