ERIC Number: EJ1356679
Record Type: Journal
Publication Date: 2022
Pages: 24
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1477-8386
EISSN: EISSN-1741-8119
An Effective Evaluation System to Grade Programming Assignments Automatically
Rahaman, Md. Afzalur; Hoque, Abu Sayed Md. Latiful
International Journal of Learning Technology, v17 n3 p267-290 2022
For the last decades, programming courses are being taught in nearly every educational sector. Students are now more likely to use an e-learning platform compared to traditional system because of lower internet costs, remote access, and faster communication facilities. For a programming course studied in both manual and e-learning platforms, instructors evaluate huge number of programming assignments which is cumbersome since programming assignment checking requires higher accuracy. To mitigate the instructor's job with a satisfactory level of confidence, we developed a system using TF-IDF, generalised graph isomorphism, and token edit distance. The testing outcome of the system reveals a higher level of congruence with a human expert grader.
Descriptors: Evaluation Methods, Programming, Assignments, Automation, Electronic Learning, Computer Science Education
Inderscience Publishers. World Trade Centre Building II 29 route de Pre-Bois Case Postale 856 CH-1215, Geneva 15, Switzerland. e-mail: editor@inderscience.com; Web site: https://www.inderscience.com/jhome.php?jcode=ijlc
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A