DSspreaducation

Data science and Education

Recommendation algorithms to be Implemented and analysed

1. a) Collaborative filtering and content-based filtering: Involves predicting relevance or usefulness of different attributes, things get more difficult due to the longer time frame, pedagogical principles, domain knowledge, and measures.

   b) Knowledge-based filtering and context-aware filtering

2. Decision trees and random forests

3. Evaluation of models, adaptive content, and support.

4. Educational data mining

5. Intelligent tutor advisor systems

6. Machine Learning to track student progress (https://github.com/Khan/guacamole)