Authors:
Fatima AlShamsi
and
Ashraf Elnagar
Affiliation:
University of Sharjah, United Arab Emirates
Keyword(s):
Java, Programming, Computer Science Education.
Related
Ontology
Subjects/Areas/Topics:
Assessment and Accreditation of Courses and Institutions
;
Assessment Software Tools
;
Computer-Aided Assessment
;
Computer-Supported Education
;
Course/Program Evaluation
;
Educating the Educators
;
e-Learning
;
e-Learning Hardware and Software
;
e-Learning Platforms
;
e-Testing and Test Theories
;
Learning/Teaching Methodologies and Assessment
;
Managing Quality in e-Learning
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Social Context and Learning Environments
;
Teacher Evaluation
Abstract:
This paper presents a graph-based grading system for Java introductory programming courses, eGrader. This system grades submission both dynamically and statically to ensure a complete and through grading job. While dynamic analysis is based on JUnit framework, the static analysis is based on the graph representation of the program and its quality which is measured by software metrics. The graph representation is based on the Control Dependence Graphs (CDG) and Method Call Dependencies (MCD). eGrader outperformed existing systems in two ways: the ability of grading submission with semantic-errors, effectively, and generating reports for students as a feedback on their performance and instructors on the overall performance of the class. eGrader is well received by instructors not only for saving time and effort but also for its high success rate represented by four performance measures which are sensitivity (97.37%), specificity (98.1%), precision (98.04%) and accuracy (97.07%).