Applied Metaphors: Learning TRIZ, Complexity, Data/Stats/ML using Metaphors
  1. Teaching
  2. Tech for Creative Education
  • Teaching
    • Data Analytics for Managers and Creators
      • Tools
        • Introduction to R and RStudio
        • Introduction to Radiant
        • Introduction to Orange
      • Descriptive Analytics
        • Data
        • Summaries
        • Counts
        • Quantities
        • Groups
        • Densities
        • Groups and Densities
        • Change
        • Proportions
        • Parts of a Whole
        • Evolution and Flow
        • Ratings and Rankings
        • Surveys
        • Time
        • Space
        • Networks
        • Experiments
        • Miscellaneous Graphing Tools, and References
      • Statistical Inference
        • 🧭 Basics of Statistical Inference
        • 🎲 Samples, Populations, Statistics and Inference
        • Basics of Randomization Tests
        • 🃏 Inference for a Single Mean
        • 🃏 Inference for Two Independent Means
        • 🃏 Inference for Comparing Two Paired Means
        • Comparing Multiple Means with ANOVA
        • Inference for Correlation
        • 🃏 Testing a Single Proportion
        • 🃏 Inference Test for Two Proportions
      • Inferential Modelling
        • Modelling with Linear Regression
        • Modelling with Logistic Regression
        • 🕔 Modelling and Predicting Time Series
      • Predictive Modelling
        • 🐉 Intro to Orange
        • ML - Regression
        • ML - Classification
        • ML - Clustering
      • Prescriptive Modelling
        • 📐 Intro to Linear Programming
        • 💭 The Simplex Method - Intuitively
        • 📅 The Simplex Method - In Excel
      • Workflow
        • Facing the Abyss
        • I Publish, therefore I Am
      • Case Studies
        • Demo:Product Packaging and Elderly People
        • Ikea Furniture
        • Movie Profits
        • Gender at the Work Place
        • Heptathlon
        • School Scores
        • Children’s Games
        • Valentine’s Day Spending
        • Women Live Longer?
        • Hearing Loss in Children
        • California Transit Payments
        • Seaweed Nutrients
        • Coffee Flavours
        • Legionnaire’s Disease in the USA
        • Antarctic Sea ice
        • William Farr’s Observations on Cholera in London
    • R for Artists and Managers
      • 🕶 Lab-1: Science, Human Experience, Experiments, and Data
      • Lab-2: Down the R-abbit Hole…
      • Lab-3: Drink Me!
      • Lab-4: I say what I mean and I mean what I say
      • Lab-5: Twas brillig, and the slithy toves…
      • Lab-6: These Roses have been Painted !!
      • Lab-7: The Lobster Quadrille
      • Lab-8: Did you ever see such a thing as a drawing of a muchness?
      • Lab-9: If you please sir…which way to the Secret Garden?
      • Lab-10: An Invitation from the Queen…to play Croquet
      • Lab-11: The Queen of Hearts, She Made some Tarts
      • Lab-12: Time is a Him!!
      • Iteration: Learning to purrr
      • Lab-13: Old Tortoise Taught Us
      • Lab-14: You’re are Nothing but a Pack of Cards!!
    • ML for Artists and Managers
      • 🐉 Intro to Orange
      • ML - Regression
      • ML - Classification
      • ML - Clustering
      • 🕔 Modelling Time Series
    • TRIZ for Problem Solvers
      • I am Water
      • I am What I yam
      • Birds of Different Feathers
      • I Connect therefore I am
      • I Think, Therefore I am
      • The Art of Parallel Thinking
      • A Year of Metaphoric Thinking
      • TRIZ - Problems and Contradictions
      • TRIZ - The Unreasonable Effectiveness of Available Resources
      • TRIZ - The Ideal Final Result
      • TRIZ - A Contradictory Language
      • TRIZ - The Contradiction Matrix Workflow
      • TRIZ - The Laws of Evolution
      • TRIZ - Substance Field Analysis, and ARIZ
    • Math Models for Creative Coders
      • Maths Basics
        • Vectors
        • Matrix Algebra Whirlwind Tour
        • content/courses/MathModelsDesign/Modules/05-Maths/70-MultiDimensionGeometry/index.qmd
      • Tech
        • Tools and Installation
        • Adding Libraries to p5.js
        • Using Constructor Objects in p5.js
      • Geometry
        • Circles
        • Complex Numbers
        • Fractals
        • Affine Transformation Fractals
        • L-Systems
        • Kolams and Lusona
      • Media
        • Fourier Series
        • Additive Sound Synthesis
        • Making Noise Predictably
        • The Karplus-Strong Guitar Algorithm
      • AI
        • Working with Neural Nets
        • The Perceptron
        • The Multilayer Perceptron
        • MLPs and Backpropagation
        • Gradient Descent
      • Projects
        • Projects
    • Data Science with No Code
      • Data
      • Orange
      • Summaries
      • Counts
      • Quantity
      • 🕶 Happy Data are all Alike
      • Groups
      • Change
      • Rhythm
      • Proportions
      • Flow
      • Structure
      • Ranking
      • Space
      • Time
      • Networks
      • Surveys
      • Experiments
    • Tech for Creative Education
      • 🧭 Using Idyll
      • 🧭 Using Apparatus
      • 🧭 Using g9.js
    • Literary Jukebox: In Short, the World
      • Italy - Dino Buzzati
      • France - Guy de Maupassant
      • Japan - Hisaye Yamamoto
      • Peru - Ventura Garcia Calderon
      • Russia - Maxim Gorky
      • Egypt - Alifa Rifaat
      • Brazil - Clarice Lispector
      • England - V S Pritchett
      • Russia - Ivan Bunin
      • Czechia - Milan Kundera
      • Sweden - Lars Gustaffsson
      • Canada - John Cheever
      • Ireland - William Trevor
      • USA - Raymond Carver
      • Italy - Primo Levi
      • India - Ruth Prawer Jhabvala
      • USA - Carson McCullers
      • Zimbabwe - Petina Gappah
      • India - Bharati Mukherjee
      • USA - Lucia Berlin
      • USA - Grace Paley
      • England - Angela Carter
      • USA - Kurt Vonnegut
      • Spain-Merce Rodoreda
      • Israel - Ruth Calderon
      • Israel - Etgar Keret
  • Posts
  • Blogs and Talks

On this page

  • Introduction
  • Abstract and Course Contents
  • References
Categories
All (4)
  1. Teaching
  2. Tech for Creative Education

🧭 Tech Tools for Creative Education

Making Explanable Explanations with Tech

Published

May 9, 2024

Introduction

This is my exploration of diverse tools to help explain things better. I will look at :

  1. Idyll Language: https://idyll-lang.org
  2. Observable JavaScript: https://observablehq.com/
  3. Kinetic Graphs: https://kineticgraphs.org/
  4. Apparatus: http://aprt.us/
  5. Joy.js: http://ncase.me/joy/
  6. Tangle: http://worrydream.com/Tangle/
  7. g9: http://omrelli.ug/g9/gallery/
  8. Loopy: http://ncase.me/loopy/
  9. All Explorable Tools: https://explorabl.es/tools/
  10. APL: https://tryapl.org
  11. p5.js: https://p5.js.org
  12. Math in Motion. https://math-in-motion.github.io/early-demo/
  13. Reanimate: Build declarative animations with SVG and Haskell https://reanimate.github.io
  14. https://animejs.com
  15. p5.teach.js. https://two-ticks.github.io/p5.teach.js/. Includes anime.js in a p5.js library.

Abstract and Course Contents

The intent of this course is to provide a brief quick introduction to several different tools that help to create interactive diagrams, web pages, scrollies to explain ideas and concepts better.

Hopefully each module will also contain a simple but complete process on tools and how to install, integrate, and use them in a non-intimidating way.

Since I am used to R + RStudio + Hugo/Quarto + Github + Netlify workflow, I will try my best to see if I can use any of these tools in that workflow. The best case would be:

  • Simply invoke the specific tool in an RMarkdown or Quarto document. Today Observable is easily doable; Idyll also seems to be possible.
  • Pass data and variables seamlessly between multiple modules
  • They must not clash, these tools and give me hell like with htmlwidgets in R which was a miserable experience up to now. (Though it seems to be changing with Quarto..hmm, time to revisit)
  • Another very promising workflow is to simply use p5.js. This allows inclusion of a huge collection of teaching oriented libraries, and p5.js sketches are easily embedded in Quarto. (This may end up being my default workflow, and will allow me to keep R things and js things separate!)

References

  1. https://michaelnielsen.org/reinventing_explanation/
  2. https://distill.pub/
  3. Bret Victor http://worrydream.com/
  4. Naval Ravikant. Good Explanations are Acts of Creativity. https://nav.al/explanations 5.Aditya Siddheshwarp5.teach: Teaching Math through Animations and Simulations. https://medium.com/processing-foundation/p5-teach-teaching-math-through-animations-and-simulations-64b6159fef85
Title Date
 
🧭 Using Idyll Jan 24, 2021
 
🧭 Using Apparatus Jan 24, 2021
 
🧭 Using g9.js Jan 24, 2021
 
🧭 Using Manim Dec 22, 2024
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Experiments
🧭 Using Idyll

License: CC BY-SA 2.0

Website made with ❤️ and Quarto, by Arvind V.

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