Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

5-2024

Abstract

This article presents the design and implementation of the Grader, a grading assistant application deployed for a Web Application Development course at our school. The Grader is equipped to handle various logistical aspects of lab tests, including file management, consistent application of rubrics, and auto-grading of questions with test cases. Additionally, it incorporates heuristic rules to detect cheating attempts. We anticipate that the Grader will find widespread utility in programming courses where lab tests serve as summative assessments. Developed within the same programming environment taught in the class, the Grader also serves as a pedagogical tool, demonstrating to students a substantial project that utilizes the techniques learned in the classroom. This article describes the features of the Grader, the context of the course where it is deployed, and our experience and insights in using it. In particular, we will present the comments from the students gathered from their qualitative feedback on the course and the instructor as the utility of the Grader in enhancing their learning experience. We will also present the estimates of the time saved by the instructors in evaluating lab tests. From the data collected, we conclude that the Grader can serve as a pedagogical too to motivate our students. Further, the Grader can significantly reduce the demand on the instructors time in grading lab tests. In terms of detecting plagiarism, its performance is not fully established.

Keywords

automatic grading, grading assistant, lab tests, programming courses, web application development

Discipline

Computer Sciences | Educational Assessment, Evaluation, and Research | Higher Education

Research Areas

Data Science and Engineering

Areas of Excellence

Digital transformation

Publication

2024 IEEE Global Engineering Education Conference, EDUCON): Kos Island, Greece, May 8-11: Proceedings

First Page

1

Last Page

10

ISBN

9798350394023

Identifier

10.1109/EDUCON60312.2024.10578671

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/EDUCON60312.2024.10578671

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