An Automated Grading and Feedback System for a Computer Literacy Course

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Bahareh Akhtar (Creator)
Appalachian State University (ASU )
Web Site:

Abstract: Computer Science departments typically offer a computer literacy course that targets a general lay audience. At Appalachian State University, this course is CS1410 - Introduction to Computer Applications. computer literacy courses have students work with various desktop and web-based software applications, including standard office applications. CS1410 strives to have students use well known applications in new and challenging ways, as well as exposing them to some unfamiliar applications. These courses can draw large enrollments which impacts efficient and consistent grading. This thesis describes the development and successful deployment of the Automated Grading And Feedback (AGAF) system for CS1410. Specifically, a suite of automated grading tools targeting the different types of CS1410 assignments has been built. The AGAF system tools have been used on actual CS1410 submissions and the resulting grades were verified. AGAF tools exist for Microsoft Office assignments requiring students to upload a submission file. Another AGAF tool accepts a student “online text submission” where the text encodes the URL of a Survey Monkey survey and a blog. Other CS1410 assignments require students to upload an image file. AGAF can process images in multiple ways, including decoding of a QR two-dimensional barcode and identification of an expected image pattern.

Additional Information

Akhtar, B. (2015). An Automated Grading and Feedback System for a Computer Literacy Course. Unpublished master's thesis. Appalachian State University, Boone, NC.
Language: English
Date: 2015
Automated Grading, Individual Feedback, Computer Literacy Course, Online Class, Excel Grader

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