Episode #3: Cognitive Load Theory in Computing
28 November 2019
This month we’ve decided to focus a whole episode on a single aspect of pedagogy and how it applies to teaching computing. Back in September the National Centre for Computing shared its first Pedagogy Quick Read focused on Cognitive Load Theory. I sat down with Duncan Maidens from the Raspberry Pi Foundation to talk about the importance of considering cognitive load when designing teaching activities.
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Thanks to Duncan Maidens for his contributions to this episode, and a special thanks to Oliver Quinlan for our intro theme built from Commodore 64 sounds.
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Notes
Below, you’ll find notes relating to ideas and reading discussed in the episode, you can also view a full transcript of this episode.
00:21
Download Quick Read #1 and follow our conversation, we also make reference to original research by John Sweller
01:30
Read more about the Isaac Physics platform and CS accelerator programme which Duncan mentions in his introduction.
05:32
Diagram showing the limitations of working memory
14:18
Read more about the National Centre teaching Resources and try them with your classes.
Objectives graphs are a valuable tool for planning enabling educators to map dependencies between concepts
17:05
Where James says "us as learners", he means "us as educators"
22:51
Dijkstra's algorithm is used to find the shortest path between 2 points in a network.
32:11
Read more about the Worked example effect in our second Quick Read
37:04
You can read more about Pair Programming in quick read #3
43:17
Beyond the Sweller references earlier you can read more in:
Guests
James Robinson Senior Learning Manager Raspberry Pi Foundation |
Duncan Maidens Director of Computer Science Education Raspberry Pi Foundation |