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
Tiffany is a senior at Missouri University of Science & Technology, majoring in Computer Science and Computer Engineering. She has been actively involved in both the department and extracurricular organizations, especially Engineers Without Borders. This coming summer she will be interning with the Boeing Company as a software engineer for her third summer. She plans on graduating in December 2012 with her dual degree and a minor in Spanish Language.
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 Kathleen Venhaus