diff options
Diffstat (limited to 'ReadMe')
| -rw-r--r-- | ReadMe | 62 |
1 files changed, 62 insertions, 0 deletions
@@ -0,0 +1,62 @@ +The Build directory contains scripts which are used to prepare milestones and activities from the original +Siyavula content. It also contains scripts to generate 'basic' and 'Karma' activities from the source 'content' folder. + +The scripts assume the following directory structure: + +/library/ +/library/courseware +/library/rwcd +/library/rwcd/git +/library/rwcd/git/content +/library/rwcd/git/build +/library/rwcd/Siyavula +/library/rwcd/siyavula_science +/library/rwcd/siyavula_technology +/library/rwcd/siyavula_mathematics +/library/rwcd/siyavula_english +/library/rwcd/master +/library/rwcd/trial + +Conversion of Siyavula Learner's Modules to 'basic' activities: + +(Assume conversion of Mathematics modules for P1) + +1. In siyavula_english, create folders for each course: e.g. za1. +2. The original files are in the Siyavula folder: Ed Gd 1/Mathematics/Learner's Modules as MS Word documents. + Some of these modules are equivalent to a milestone. Others have enough material for multiple milestones. These + modules are often divided into Learning Units. These modules represent the course work for a complete year + (30 weeks). A typical milestone should contain enough material (activities) to require a student from one to + two weeks to complete. This means a year's course should have between 15 and 30 milestones. In Rwanda, the + year's course may be divided into three terms, each of which has from 5 to 10 milestones (typically 7-8). +3. In this case there are eight modules (.doc files) containing Create a folder in za1 for each milestone, + e.g. map1m1, map1m2, .... The current conversion in this case each module is converted directly to a milestone. + Copy each module (.doc file) into the corresponding folder in siyavula_mathematics (map1m1 etc.). + At this point you should have eight folders in siyavula_english each containing a single .doc file. +4. Open the .doc file in Open Office (Write). Save it as html (Save As and then select html format at the bottom + right of the pop-up window.). At this point the folder will contain the original .doc file, a .html file with the + same name and the images for the module (.png and .gif). +5. Look at the original doc file or at a printed copy. Decide where the module should be divided into activities. This + is art not science. There are several considerations in making this decision. First, the content is intended to be + printed on A4 paper. The html will be displayed on the OLPC laptop screen. Therefore an activity should fit on one + or more screens. Second, an activity should be a single task for the student. The student must be able to understand + clearly what he/she is to do and when he or she has finished. Students in Rwanda will normally have a forty minute + period each day to work on the course. If a typical student can finish the milestone in seven periods and the + milestone has twelve activities, a typical activity would require about twenty-five minutes to complete. So the + process to identify activities within a milestone is to look at the original Siyavula module and decide how to divide + it into tasks. Some modules have activities or assignments or a list (A., B., C.) to help identify activities). +6. Edit the .html file for the module in gedit or notepad. Enter a horizontal rule tag (<hr />) in the text to show + the separation between activities. +6. In the command line, run the .cleanUp.py script (./cleanUp.py English za1 map1m1). The cleanUp.py script will clean + up the html and write a file: source.txt in the folder. This script operates on a single milestone and should be run + for each milestone to be converted. The source.txt file includes the <hr /> tags entered in the previous step. +7. In the command line, run the .cvtSiyavula.py script (./cleanup.py English za1). Note: The cvtSiyavula script + operates on all of the milestones in a course. The cvtSiyavula script creates folders in /library/rwcd/trial with + the top level named for the subject (siyavula_mathematics). In this folder, there is a folder per milestone. In the + milestone folder, is a folder per activity. The cvtSiyavula script renames image files as img1.png, img2.png, .... + These images are resized to the height and width specified in the html <img> tag. Images in .gif format are + converted to .png format retaining the size of the original. +8. Copy the folders for the course (za1) to the content folder replacing the one already there, if any. In this case, + the /library/git/content/Mathematics folder. +9. In general, this conversion will be done only once for a module. Beyond that point, the content will be edited for + the OLPC laptop, to meet Rwanda curriculum requirements, and to improve the lesson. If the conversion process is + repeated, those edits will be lost. |