Please fork this repository to your own account, either directly edit the README file to include your statement or upload a text file (.txt, .docx) to the repo and then create a pull request to submit it to me. Your Problem Design Statements are due by 5:00pm Sep 22, 2016.
Your statements should include:
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The problem you are addressing MOOCs have drawn widespread attention for the past few years. However, the high level of student dropouts has been central criticism. Widely cited figure is that 90 % of students don’t finish their courses. Researches have shown dropout does not only happen at the beginning of the course. The number of students decreases progressively from a MOOC’s beginning to its end. What’ s the reason behind it? Should we come up solutions with the high dropout?
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The eductional goal that you plan to address We have to aware there are different types of learners in MOOCs. Besides to keep everyone in the course, it is more important to make sure the one fits in the certain course stays in.
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Your objectives for the project Predict does certain course fit the learners in the first two weeks of a MOOC course. Get the fit learners more engage in the course, and prevent their dropout.
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Your priorities for the project Filter down learners by their objectives. Predict does the course fit them.
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What you plan to measure to achieve your educational goal and address your problem
- Including an fake data set Probably do a survival analysis based on students’ performance in the course? Then further working on engaging the survivors.