The introduction and roadmap tags were helpful guides. Overall though, the schema restricted my writing. I wanted to build up step by step to the A* algorithm by introducing the two algorithms that it is a combination of. However, I noticed that some parts fit better nestled rather than mandatory and separate. For example, I thought that a section discussing one algorithm fit in the explanation tag, but in that section I also wanted to include the question_relative_topic tag. Sometimes learning works better like this rather than when a subtopic is introduced before hand so that the learner sees how it ties into the broad picture. On another note, algorithms rely on a lot of iteration, so it would be good to include an instruction portion to the schema (like steps).
Typically, my topic assumes that the reader has some experience with programming, but I tried to break it down for even a general audience. A problem I had was deciding which terms to use. For example, I referred to tiles and nodes, interchangeably. Tile was specific to the situation I was discussing but node is the common term. I wanted to use node after introducing the tile as one so that if they decide to research more in depth, they would be able to follow without having to refer back for clarification. Another major problem I had was trying to keep the reader interested by using comparisons and images without losing what I wanted them to take away. (Try not to read it before I finish though? Otherwise, you’ll just be really confused…)
Oliver’s paper fit much better with the schema. He used the optional important_idea to support his topic, which I can incorporate into mine. After reading his, I do see how some of the sections I were unsure of fit in with our tags.
Making the schema for academic blogging was pretty different from making the first one as a class, mainly because this genre approaches writing in a very casual but informative way. Since it’s casual, the layout of one blog post can vary greatly from another’s, which made it difficult to gather commonalities without taking away from the pieces.
