The Automated Partial Credit Grader System
Department
Computer Science
Major
Computer Science
Research Advisor
Tauritz, Daniel R.
Insall, Matt
Advisor's Department
Computer Science
Second Advisor's Department
Mathematics and Statistics
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. The current economic downturn is actually reducing the number of grader hours, overwhelming instructors and leading to less feedback. Educational companies have responded by increasingly offering automated training and test tools. However, these tools are very rudimentary, providing full credit for exact matches to model answers and no credit for any other answer. 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 System is being proposed to meet this need.
Biography
Michael Wisely is a sophomore in Computer Science and Computer Engineering at the Missouri University of Science and Technology. He is actively involved in Missouri S&T's ACM-SIGGAME program and robotics design competition team while also participating in undergraduate research. Michael is a participant in the Missouri S&T Honors Academy.
Research Category
Research Proposals
Presentation Type
Poster Presentation
Document Type
Poster
Location
Upper Atrium/Hallway
Presentation Date
07 Apr 2010, 9:00 am - 11:45 am
The Automated Partial Credit Grader System
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. The current economic downturn is actually reducing the number of grader hours, overwhelming instructors and leading to less feedback. Educational companies have responded by increasingly offering automated training and test tools. However, these tools are very rudimentary, providing full credit for exact matches to model answers and no credit for any other answer. 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 System is being proposed to meet this need.
