{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook is about demonstrating:\n",
    "* using **different types of questions** to engage students with the virtual demonstration\n",
    "* using **different types of visualizations** to help students understand the phenomena\n",
    "\n",
    "The example chosen is voluntarily *simple* so that anyone can understand what is illustrated and focus the pedagogical features of the example.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suspended objects\n",
    "\n",
    "## In-class scenario\n",
    "\n",
    "### Problem\n",
    "<img src=\"Images/jean.png\" style=\"width:400px;float:right\"/>\n",
    "\n",
    "We consider a clothesline made of two poles and a cable.  \n",
    "The cable is fixed on one pole. A pulley on the other pole allows to attach a counterweight to pull the cable taut.\n",
    "\n",
    "### Questions\n",
    "\n",
    "1. Ask the following **prediction question** to students:\n",
    "    * Estimate which counterweight allows to suspend wet jeans (3kg) on the cable so that the cable is taut as shown on the diagram?\n",
    "        * 1,5 kg\n",
    "        * 3 kg\n",
    "        * 6 kg\n",
    "        * 20 kg\n",
    "        * 50 kg or more\n",
    "    * Why? Describe in words your explanation for this behavior.\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Run the demo and ask the following **observation questions** :\n",
    "    * What is the height of the point at which the jeans are suspended for a counterweight of 3kg? 6kg? 20kg? 50kg?\n",
    "    * What can you conclude from this experiment?\n",
    "\n",
    "\n",
    "3. Provide the explanation (e.g. solving the problem on the board), and have students compare their explanation with your own explanation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Virtual demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from lib.suspendedobjects import *\n",
    "SuspendedObjectsLab();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*If you wonder how the virtual lab works and would like to see the code, [you can have a look at it at the end of this notebook](#How-does-the-virtual-lab-work%3F).*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# How does the virtual demo work?\n",
    "\n",
    "You can have a look at the code of the virtual demo by [opening this python file](lib/suspendedobjects.py).  \n",
    "\n",
    "## Use of the virtual demo\n",
    "\n",
    "Execute the cell below to see the documentation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "SuspendedObjectsLab?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Utility computation function\n",
    "\n",
    "By executing the following cell, you will see the code of the function used to compute the angle that the line makes with the horizon depending on the masses of the object and the counterweight.  \n",
    "This function can be redefined and given as parameter when initializing the lab."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "get_angle_from_masses??"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}