Adaptive Learning in Stochastic Modeling (MATH3425)

Project Overview

Project Title

Adaptive Learning in Stochastic Modeling (MATH3425)

Project Leader

Prof Kani Chen

School / Dept

SSCI / MATH

Project Duration

Sep 2016 - Jun 2018

Project Description

The project aims to implement an adaptive learning algorithm in the course “stochastic modeling” (MATH3425), which I have been teaching in the past ten years. MATH3425 has been a very popular undergraduate course. It is also a required course for statistics major in the Department of Mathematics.  Based on my teaching experience, I propose to establish an adaptive learning system that aims to increase the students’ learning efficiency. Such a system can be expanded to other courses.

Project Outcome

The project is still ongoing. Project outcomes will be updated upon project completion.

Status

Ongoing

Project Documents
(Only accessible by HKUST users)

Adaptation

Full Project