Difference between revisions of "SOCR DSPA ReadinessPretest"
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===Description=== | ===Description=== | ||
| − | This projects aims to develop a generic platform for SOCR web-based self-assessment. Specifically, the projects will develop a dynamic version of the [ | + | This projects aims to develop a generic platform for SOCR web-based self-assessment. Specifically, the projects will develop a dynamic version of the [http://www.socr.umich.edu/people/dinov/2017/Spring/DSPA_HS650/DSPA_Pretest.html Data Science Readiness Self-Assessment Pretest] using HTMl5. |
The new web pretest has to be mobile friendly and allow us to store the questions (an perhaps answers) in a JSON file as well as randomly pull questions from each of the 3 main categories (each including multiple (2-4) sub-categories). | The new web pretest has to be mobile friendly and allow us to store the questions (an perhaps answers) in a JSON file as well as randomly pull questions from each of the 3 main categories (each including multiple (2-4) sub-categories). | ||
Latest revision as of 10:52, 17 October 2016
Contents
SOCR Project - SOCR Graduate Data Science Readiness Self-Assessment Pretest
Description
This projects aims to develop a generic platform for SOCR web-based self-assessment. Specifically, the projects will develop a dynamic version of the Data Science Readiness Self-Assessment Pretest using HTMl5.
The new web pretest has to be mobile friendly and allow us to store the questions (an perhaps answers) in a JSON file as well as randomly pull questions from each of the 3 main categories (each including multiple (2-4) sub-categories).
Each time a visitor tries the pretest, they see somewhat different questions in each of the 2-level categories. Randomness relates to randomizing the questions within each category and subcategory.
Specifications
- The platform should allow MathJax for test questions and test answers.
- The platform should be generic and allow expansion of the categories, sub-categories (2-level deep only) and the lists of questions within each (perhaps allow multiple-choice answers)
- We will be expanding the JSON question/answer list once a working version of the platform for the pretest is available.
Examples to review
Below are some examples to review as you design the HTML5 version of the pretest:
Knowledge Prerequisite
HTML5, CSS, JavaScript (JQuery and CoffeeScript experience or learning interest is a plus).
See also
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