| University | Singapore Polytechnic School of Business (SP) |
| Subject | Learning Analytics |
1. Which features are the most effective drivers of the predictions across the different models? Is the current data sufficient for supporting the predictive tasks, and where are the weakness and opportunities for improving the robustness of the predictions through richer and higher-quality data?
2. Can robust models be developed that predict which students are likely to progress onto higher qualifications, and can effective models be developed that predict which programs these students will progress onto and when are they likely to do so after graduation?
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