Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

12-2016

Abstract

Human grading of introductory programming assignments is tedious and error-prone, hence researchers have attempted to develop tools that support automatic assessment of programming code. However, most such efforts often focus only on scoring solutions, rather than assessing whether students correctly understand the problems. To aid the students improve programming skills, effective feedback on programming assignments plays an important role. Individual feedback generation is tedious and painstaking process. We present a tool that not only automatically generates the static and dynamic program analysis outcomes, but also clusters similar code submissions to provide scalable and effective feedback to the students. We studied our tool on data from introductory Java programming assignments of year 1 course in School of Information Systems. In this paper, we share the details of our tool and findings of our experiments on 261 code submissions.

Keywords

Automated grading, effective feedback, programming assignments, clustering

Discipline

Computer Sciences | Educational Methods | Higher Education

Research Areas

Learning and Information Systems Education

Publication

Proceedings of the 24th International Conference on Computers in Education: November 28 - December 2, Mumbai, India

First Page

258

Last Page

263

ISBN

9789868473577

Publisher

Asia-Pacific Society for Computers in Education

City or Country

Taoyuan City

Additional URL

http://www.et.iitb.ac.in/icce2016/files/proceedings/ICCE 2016 Main Conference Proceedings.pdf

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