I have uploaded a "proof of concept" to https://github.com/enthor/mysagepyV0
It has a "stub" review app which can be accessed either via Python directly or via Python with SageMath -- the latter is required for access to Latex formatting and display. Some rearrangement of the directory hierarchy was also performed. There are "issues" with this: 1) The console/command window is a rough environment. It appears that windowing technology, such as Tcl/Tk will be needed to make this application presentable to non-programmers. 2) Latex formatting is very problematic. I documented several problems and spent several hours on it this afternoon. The biggest issue is simply the energy expenditure: I cannot envision a student preparing notes in Latex for subsequent review. A teacher could do that for the students, but there is no way a student would have time to do that work. So, text mode is the main alternative. Or, as a last resort, taking snapshots of notes. Really, there would need to be an equation editor to make this work with Latex or MathML. Typing in Latex commands by hand is way too slow for this application. But, as my code shows, it does work, even if it is slow and buggy. So...? A good start. On Thursday, June 17, 2021 at 1:18:23 PM UTC-7 enthor wrote: > I am planning to write code to Archive source materials, to Catalog them, > and an app to review/drill topics in them which must be mastered and > memorized. > > A first-cut of the Design Goals and "databases" is available here: > > https://github.com/enthor/mysagepyV0 > > This project is for my own benefit -- both from the coding and by its use > when it is ready. > > I am also motivated by a compelling desire to "fix" K-12 education in the > US. How it is possible that students can spend 13 years in school and then > graduate high school without really being able to read or do basic math > puzzles and alarms me. So this is Step 2 after my previous projecet at > github: > > https://github.com/enthor/performancebeyondV2 > > (The copyright encumbered illustrated version of that is popular but no > one has ever said they liked the textual material. I read that the military > is very interested in Flow states... so I am apparently at the trailing > edge of state of the art...but brain-hacking is not a popular topic, I > guess...) > > Anyway... > > It may be that someone else may see something of value, and I welcome > feedback with the possible exception of "Don't do this, it has been done." > And I do not want to copy anyone else's work. > > I am very open at this stage to corrections and enhancement ideas of the > sort, "Well, feature XYZ and data element ABC are obviously required." Or > even typos. Or participation. > > The one thing that is completely unsolved is what algorithm to use for > maximum benefit from reinforcement learning. I have no idea what works > best. Perhaps it depends mostly on the individual student and variations > must be enabled. > > Feel free to comment via Issues at github. Or email me at gmail id > b252t11q. Or just punch in your feedback here. > > Thanks! > > -- You received this message because you are subscribed to the Google Groups "sage-edu" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-edu+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sage-edu/7aee9f20-3b8a-413c-9f08-ecff010dfedcn%40googlegroups.com.
