Title

APCG: The Automated Partial Credit Grader

Presenter Information

Kathleen Venhaus

Department

Computer Science

Major

Computer Science and Computer Engineering

Research Advisor

Tauritz, Daniel R.
Insall, Matt

Advisor's Department

Computer Science

Second Advisor's Department

Mathematics and Statistics

Funding Source

Missouri S&T Opportunities for Undergraduate Research Experiences (OURE) Program; Computer Research Association's Committee on the Status of Women in Computing Research

Abstract

Education in the 21st century is quickly moving away from the traditional classroom lecture structure. A new generation of computer savvy students is accustomed to working at their own pace and receiving continuous feedback. Few, if any, institutions have the resources to offer around-the-clock human graders to provide the desired level of feedback. Educational companies have responded by increasingly offering automated training and assessment tools. However, these tools are typically very rudimentary, providing full credit for exact matches to model answers and no credit otherwise. There is a clear and urgent need for a far more sophisticated system which can analyze what went wrong, assign partial credit, and provide detailed feedback to the student. The Automated Partial Credit Grader (APCG) project is specifically addressing this problem through the creation of such a sophisticated system.

Biography

Kathleen is from St. Louis, Missouri and is currently a junior at Missouri University of Science and Technology. She plans to graduate with a bachelor’s degree in Computer Science and a bachelor’s degree in Computer Engineering.

Research Category

Sciences

Presentation Type

Poster Presentation

Document Type

Poster

Location

Upper Atrium/Hallway

Presentation Date

10 Apr 2012, 9:00 am - 11:45 am

Comments

Joint project with Chelsea Sanders and Tiffany Werckmann

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Apr 10th, 9:00 AM Apr 10th, 11:45 AM

APCG: The Automated Partial Credit Grader

Upper Atrium/Hallway

Education in the 21st century is quickly moving away from the traditional classroom lecture structure. A new generation of computer savvy students is accustomed to working at their own pace and receiving continuous feedback. Few, if any, institutions have the resources to offer around-the-clock human graders to provide the desired level of feedback. Educational companies have responded by increasingly offering automated training and assessment tools. However, these tools are typically very rudimentary, providing full credit for exact matches to model answers and no credit otherwise. There is a clear and urgent need for a far more sophisticated system which can analyze what went wrong, assign partial credit, and provide detailed feedback to the student. The Automated Partial Credit Grader (APCG) project is specifically addressing this problem through the creation of such a sophisticated system.