An experimental online judge system based on docker container for learning and teaching assistance
Conference item
Yibo, Han, Zhang, Zheng, Yuan, Bo, Bi, Haixia, Shahzad, Mohammad Nasir and Liu, Lu 2020. An experimental online judge system based on docker container for learning and teaching assistance. IEEE. https://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00264
| Authors | Yibo, Han, Zhang, Zheng, Yuan, Bo, Bi, Haixia, Shahzad, Mohammad Nasir and Liu, Lu |
|---|---|
| Abstract | Programming Languages are core courses in computer science and computing-related disciplines, and there are increasing demands on improving the experiences, motivation and efficiency of programming language teaching and learning. In recent decades, online judge (OJ) systems have been popularly adopted in educational environments to support real-time learning feedback, and provide interactive programming practice. However, most existing OJ systems rely on significant resource for hardware virtualization, and suffer from long development cycles and extensive maintenances. This paper proposed a course-oriented OJ system based on the Docker Container techniques to significantly reduce the cost and maintenance of deployment of existing OJ system. The proposed approach is designed in the form of an experimental system, which is effective in stimulating the students to learn programming language and assist the instant assessment of coursework. Meanwhile, our proposed system can be integrated with major massive open online course (MOOC) systems for assessment. The efficiency and performance of our proposed system has been evaluated and tested by 1460 students in Nanyang Institute of Technology during term time between 2018 and 2019. |
| Keywords | Containers; Education; Computer languages; Programming profession; Virtualization; Real-time systems |
| Year | 2020 |
| Journal | 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) |
| Publisher | IEEE |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00264 |
| Web address (URL) | http://hdl.handle.net/10545/625189 |
| http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| hdl:10545/625189 | |
| ISBN | 9781728140346 |
| File | File Access Level Open |
| File | File Access Level Open |
| Publication dates | 09 Apr 2020 |
| Publication process dates | |
| Deposited | 21 Sep 2020, 09:51 |
| Accepted | 01 Aug 2019 |
| Rights | Attribution-NonCommercial-ShareAlike 4.0 International |
| Contributors | Nanyang Institute of Technology, Nanyang, China, University of Derby and University of Leicester |
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