Test Stable Build Available At: https://rhenof.github.io/blocktown/index.html
Blocktown is meant to be a framework on which to build exercises aimed at teaching and training users in a range of mathematical and algorithmic skills.
Blocktown seeks to uphold two core principles in order to better serve as a flexible framework. First, customizability in regards to visual elements and locale, allowing any existing exercises to be ported to appeal to other audiences easily. Second, modularity in regards to the ease of creating new exercises and integrating them into the existing rewards structure.
Stage 1 follows the traditional STEM approach of presenting a maze-like problem with increasing complexity. While this approach may seem outmoded, it's a well-grounded base from which to introduce the user to the tools available to them. An initially restricted activity allows the user to grasp the basics of the Blocktown control loop while engaged in tasks with clear goals and defined rulesets.
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We begin by presenting them with a simple movement task, asking the user to move the worker unit from point A to point B.
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At the second level, we present them with obstacles, meant to be overcome by direct instructions (such as MOVE LEFT, MOVE RIGHT, MOVE DOWN).
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We introduce dynamic obstacles and the notion of "state". The worker can decide where to move based on its surroundings, and must navigate a dynamically generated maze.
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We introduce the concept of performance, allowing the user to prefer certain routes by consuming resource blocks.