Humanising Math and Physics on Computer Science
summary
Proposal claims that human stories and interdisciplinary pairing improve uptake of math and physics in CS classrooms. Methods include telling biographical Kepler/Euler/Galois stories, making science films, and two curricular experiments: numerical methods + algorithms and statistics via A/B tests. Measured outcome is student engagement and performance: students become much happier and perform better in the paired courses while traditional unconnected calculus yields very poor results. A supporting blog documents techniques and classroom feedback.
AI-written summary · about
chapters (35)
- 0:00Intro
- 1:19Learning without context
- 2:00What I do
- 2:11Disclaimer
- 2:52Math and Physics
- 3:36Why
- 4:37Lack of contest
- 5:13Motivation
- 5:50Hate
- 6:44Techniques
- 6:58Story
- 7:37Cleansing
- 8:23Examples
- 9:05Keplers Laws
- 9:38Keplers Life
- 10:42Keplers Relationship with Science Fiction
- 11:26Keplers Story
- 12:48Bridge to Renaissance
- 13:45Euler
- 14:16Boiler
- 15:04Magic of Issues
- 16:35Galois
- 18:15Group Theory
- 18:40Behind Science
- 18:56Imitation Game
- 19:16Teaching to Computer Science Subjects
- 20:20Numerical Method Analysis
- 20:31Statistics
- 21:30We are humans
- 21:52Results
- 22:41Quotes
- 23:10Connecting the areas
- 24:02Dont blame
- 24:39Make your own contributions
- 25:15We are all humans
related talks
01h 00mHumanising Math and Physics
41mHow Math, Science, and Star Trek Help Us Understand the Value of Team Diversity
36mKeynote: Data, Decision Making, and Being Human
53mHow Not to Be Wrong in Software Engineering
31mStorytelling for Engineers
34mKeynote: Lighthearted Thoughts on Conversing About Data
38mDerivation & Presentation: How to Effectively Tell A Data Science Story
40mWhen STEM Becomes STEAM We All Benefit: Breaking out of our professional silos
