Knowledge representation for computational thinking using knowledge discovery computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Business, Management and Accounting (miscellaneous),Communication,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s10799-019-00299-9.pdf
Reference45 articles.
1. Rajagopalan C, Baldev R, Kalyanasundaram P (1996) The role of artificial intelligence in non-destructive testing and evaluation. Insight 38(2):118–123
2. Techopedia (2018) Knowledge-based system (KBS). https://www.techopedia.com/definition/7969/knowledge-based-system-kbs . Accessed 30 Aug 2018
3. García-Peñalvo FJ, Cruz-Benito J (2016) Computational thinking in pre-university education. In: Proceedings of the fourth international conference on technological ecosystems for enhancing multiculturality. ACM, pp 13–17
4. KERIS (2016) Research report KR 2016-4. http://lib.keris.or.kr/search/detail/CATLAB000000012086 . Accessed 25 Sept 2017
5. Ater-Kranov A et al (2010) Developing a community definition and teaching modules for computational thinking: accomplishments and challenges. In: Proceedings of the 2010 ACM conference on Information technology education. ACM, pp 143–148
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Comparative experiment of the effects of unplugged and plugged-in programming on computational thinking in primary school students: A perspective of multiple influential factors;Thinking Skills and Creativity;2024-06
2. AI-Driven Decision Support in Public Administration: An Analytical Framework;Lecture Notes in Networks and Systems;2024
3. Human-Computer Interaction for Knowledge Discovery for Management;Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management;2023-09-25
4. Human resources analytics in practice: A knowledge discovery process;European Management Review;2023-09-14
5. A scoping review of computational thinking assessments in higher education;Journal of Computing in Higher Education;2022-01-23
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3