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Autor/inGinat, David
TitelAbstraction, Declarative Observations and Algorithmic Problem Solving
QuelleIn: Informatics in Education, 20 (2021) 4, S.567-582 (16 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1648-5831
SchlagwörterProblem 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
AbstractThe 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. (As Provided).
AnmerkungenVilnius 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
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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