When it comes to learning a subject matter or skill, each student can be stuck in different areas and have differing needs. Our work on this MQP was done to provide a means to help out with this variability, researching into methods to assist student learning on the ASSISTments platform, a platform used by students all across the world. We looked into knowledge tracing, a way to predict student mastery in relation to problems. We then used that work to implement a service that uses reinforcement learning to provide tailored hint messages to help students with their varying needs.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Weintraub, Justin

Subject

• Sustainability
• Learning
• Computing
• Project-Based Learning
• Well-Being

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-030124-152957
• 118139

Parola chiave

• Education
• Knowledge Tracing
• Reinforcement Learning
• Machine Learning
• ASSISTments
• SQL

Advisor

• Heffernan, Neil

Year

• 2024

Sponsor

• ASSISTments

UN Sustainable Development Goals

• 4 - Quality Education

Date created

• 2024-03-01

Resource type

• Major Qualifying Project

Major

• Computer Science

Source

• E-project-030124-152957

Rights statement

• In Copyright

License

• Creative Commons BY Attribution 4.0 International

Ultima modifica

• 2024-04-22