Title

Automated Partial Credit Grading Software System

Presenter Information

Michael Virag

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

Funding Source

Missouri S&T Opportunities for Undergraduate Research Experiences (OURE) Program

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. The current financial situation is actually reducing the number of grader hours, overwhelming instructors and leading to less feedback. Educational companies have responded by 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 student error, assign partial credit, and provide detailed feedback to the student.

Biography

Michael moved to Missouri in 1999 and attended Blue Springs South High School in Blue Springs, Missouri. He joined Missouri S&T in 2007 pursuing a bachelor's degree in Computer Science. He is currently a senior in Computer Science with a minor in Business on track to graduate in May 2011.

Research Category

Research Proposals

Presentation Type

Poster Presentation

Document Type

Poster

Location

Upper Atrium/Hallway

Presentation Date

06 Apr 2011, 1:00 pm - 3:00 pm

Comments

Joint project with Michael Wisely

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Apr 6th, 1:00 PM Apr 6th, 3:00 PM

Automated Partial Credit Grading Software 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. The current financial situation is actually reducing the number of grader hours, overwhelming instructors and leading to less feedback. Educational companies have responded by 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 student error, assign partial credit, and provide detailed feedback to the student.