Mining Massive Student Data with Deep Learning
What is Knowledge Tracing?
In this project, we aim to mine a large amount of real educational data and develop
knowledge tracing and adaptive assessment models. In particular, we are focused on
- Developing better models to predict students’ answers to questions based on their previous actions and
- Given effective knowledge tracing algorithms, devising ways to build models upon them to sequence
material in ways maximally useful for students.
- Using the text of questions and answers to perform natural-language analysis and experiment with
augmenting knowledge-tracing and other algorithms to be able to incorporate new questions (which
were not included in training data) into the software.
- Using official score reports to study to what degree it is possible to predict students’ real test
scores based on their interactions with the software.