Abstraction, Declarative Observations and Algorithmic Problem Solving

David Ginat*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


The notion of algorithm may be perceived in different levels of abstraction. 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 abstractions 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.

Original languageEnglish
Pages (from-to)567-582
Number of pages16
JournalInformatics in Education
Issue number4
StatePublished - 2021


  • Abstraction
  • algorithmic problem solving


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