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Adaptive Learning in Stochastic Modeling (Math 3425)

Adaptive Learning in Stochastic Modeling (Math 3425)

Project Leader: Prof Kani CHEN
School: School of Science
Department: Mathematics (MATH)
Funding Year: 2015/16
Description:

This project proposes to implement an adaptive learning algorithm in the course “stochastic modeling” (Math3425). Math3425 has been a very popular undergraduate course. It is also a required course for statistics major in the Department of Mathematics. Based on the past teaching experience, Establishing an adaptive learning system aims to increase the students’ learning efficiency.

Status: Completed
Type of Innovation: eLearning
Triennium:
2012-2016
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