APCG: The Automated Partial Credit Grader
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
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.
Comments
Joint project with Chelsea Sanders and Tiffany Werckmann