The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
The boss online submission and assessment system
Abstract
Computer programming lends itself to automated assessment. With appropriate software tools, program correctness can be measured, along with an indication of quality according to a set of metrics. Furthermore, the regularity of program code allows plagiarism detection to be an integral part of the tools that support assessment. In this paper, we describe a submission and assessment system, called BOSS, that supports coursework assessment through collecting submissions, performing automatic tests for correctness and quality, checking for plagiarism, and providing an interface for marking and delivering feedback. We describe how automated assessment is incorporated into BOSS such that it supports, rather than constrains, assessment. The pedagogic and administrative issues that are affected by the assessment process are also discussed.
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Plagiarism in programming assignments
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Self-citationA Blueprint for Computer-Assisted Assessment
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On automated grading of programming assignments in an academic institution
Cheang, B., Kurnia, A., Lim, A., & Oon, W.-C. (2003) · Computers & Education · doi:10.1016/s0360-1315(03)00030-7 · Cited by 227
Cited by
Review of recent systems for automatic assessment of programming assignments
Ihantola, P., Ahoniemi, T., Karavirta, V., & Seppälä, O. (2010) · Proceedings of the 10th Koli Calling International Conference on Computing Education Research · doi:10.1145/1930464.1930480 · Cited by 554
A survey of literature on the teaching of introductory programming
Pears, A., Seidman, S., Malmi, L., Mannila, L., Adams, E., Bennedsen, J., Devlin, M., & Paterson, J. (2007) · ACM SIGCSE Bulletin · doi:10.1145/1345375.1345441 · Cited by 481
A comparison of code similarity analysers
Ragkhitwetsagul, C., Krinke, J., & Clark, D. (2018) · Empirical Software Engineering · doi:10.1007/s10664-017-9564-7 · Cited by 122
An Educational System for Learning Search Algorithms and Automatically Assessing Student Performance
Grivokostopoulou, F., Perikos, I., & Hatzilygeroudis, I. (2017) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-016-0116-x · Cited by 71
Jutge.org: Characteristics and Experiences
Petit, J., Roura, S., Carmona, J., Cortadella, J., Duch, J., Gimenez, O., Mani, A., Mas, J., Rodriguez-Carbonell, E., Rubio, E., et al. (2018) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2017.2723389 · Cited by 33
Metadata
- Authors
- Joy, M., Griffiths, N., & Boyatt, R.
- Venue
- Journal on Educational Resources in Computing
- Published
- 2005-09
- Volume
- 5
- Issue
- 3
- Pages
- 2
- ISSN
- 1531-4278 (ISSN-L)
- OpenAlex
- W1991140109
- Cited by
- 282
- References
- 20
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- closed
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