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KAP: Knowledge-Graph Based Auxiliary Platform for Outcome-Based Python Education

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成果类型:
会议论文
作者:
Jiang W.;Sun Z.;Hu J.;Zhong P.;Lu M.
通讯作者:
Jiang, W.
作者机构:
[Lu M.; Jiang W.; Hu J.; Zhong P.; Sun Z.] School of Computer Science and Engineering Central South University, Changsha, China
通讯机构:
[Jiang, W.] S
School of Computer Science and Engineering Central South UniversityChina
语种:
英文
关键词:
Knowledge-graph;Outcome Based Education;Python
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2023
卷:
1813 CCIS
页码:
98-110
会议名称:
17th International Conference on Computer Science and Education, ICCSE 2022
会议时间:
18 August 2022 through 21 August 2022
主编:
Hong W.Weng Y.
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9789819924486
基金类别:
The authors sincerely thank the reviewers for their helpful comments on this paper. This work is partially supported by the key research and development project of Hunan province under grant No. 2022SK2107 and the academic research project on education of central south university. In addition, this work was also carried out in part using computing resources at the High Performance Computing Center of Central South University.
机构署名:
本校为通讯机构
摘要:
Outcome Based Education (OBE) is currently a popular approach, but quantifying students’ learning outcomes remains a challenge. To address this issue, this paper proposes the development of a Knowledge-graph based Auxiliary Platform (KAP) for outcome-based Python education. KAP facilitates manual organization of knowledge points by teachers according to the expected learning outcomes and associates relevant questions with each point. This feature allows for automatic qualification of students’ mastery of knowledge by monitoring their progress...

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