Treffer: Abstraction, Declarative Observations and Algorithmic Problem Solving

Title:
Abstraction, Declarative Observations and Algorithmic Problem Solving
Language:
English
Authors:
Ginat, David
Source:
Informatics in Education. 2021 20(4):567-582.
Availability:
Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
Peer Reviewed:
Y
Page Count:
16
Publication Date:
2021
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Higher Education
Postsecondary Education
Descriptors:
Problem Solving, Computation, Comparative Analysis, Competence, Abstract Reasoning, Novices, Knowledge Level, Elective Courses, Undergraduate Students, Task Analysis, Intervention, Mathematics Education, Coding, Programming, Computer Science Education, Thinking Skills
ISSN:
1648-5831
Entry Date:
2022
Accession Number:
EJ1329310
Database:
ERIC

Weitere Informationen

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.

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