首页    期刊浏览 2026年01月02日 星期五
登录注册

文章基本信息

  • 标题:Abstraction, Declarative Observations and Algorithmic Problem Solving
  • 本地全文:下载
  • 作者:David GINAT
  • 期刊名称:Informatics in Education
  • 印刷版ISSN:1648-5831
  • 出版年度:2021
  • 卷号:20
  • 期号:4
  • 页码:567-582
  • DOI:10.15388/infedu.2021.25
  • 语种:English
  • 出版社:Institute of Mathematics and Informatics
  • 摘要:The notion of algorithm may be perceived in different levels of ion. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We unfold the importance of higher level ions for novices, by demonstrating the role of declarative observations of algorithmic problems, and the benefit of developing awareness of such observations in algorithmic problem solving. This is shown in a two-stage study, which first reveals the unfortunate lack of declarative observations, and then displays comparative results of experimental and control groups, which stems from different awareness and competence with declarative observations.
  • 关键词:abstraction;algorithmic problem solving
国家哲学社会科学文献中心版权所有