Programming Language/Problem-Solving ResearchA Review of Relevant Issues
David B. Palumbo
Erstpublikation in: Review of Educational Research Spring 1990, Vol 60, No. 1, pp. 65-89
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Zusammenfassungen
This article addresses several key issues in the research on the potential relationship between programming language instruction and problem solving. Although the computer has been touted as the technology that will effectively develop both the declarative and procedural knowledge needed to establish good problem solvers, research supporting this claim has been slow to materialize. Several reasons for the lack of significant research findings are discussed. Many studies have not been sufficiently grounded in problem-solving theory. The question of expertise and transfer of training is also addressed. Other issues critical to successfully designing programming language/problem-solving research include (a) treatment-related issues, such as the method and duration of programming instruction; (b) language-related issues—that is, selecting the most beneficial programming language; and (c) selection of an appropriate sample
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Nicht erwähnte Begriffe | Advanced Beginner, blockbasierte Programmierumgebungen, Competent, Deklaratives/explizites Gedächtnis, Proficient, Ultra-Kurzzeitgedächtnis |
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9 Erwähnungen
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- CSCL - Theory and Practice of an Emerging Paradigm (Timothy D. Koschmann) (1996)
- Paradigm shifts and instructional technology - An introduction
- Computer Science Education Research (Sally Fincher, Marian Petre) (2004)
- The Cambridge Handbook of the Learning Sciences (R. Keith Sawyer) (2006)
- Visual Program Simulation in Introductory Programming Education (Juha Sorva) (2012)
- Connected Code - Why Children Need to Learn Programming (Yasmin B. Kafai, Quinn Burke) (2014)
- Learner-Centered Design of Computing Education - Research on Computing for Everyone (Mark Guzdial) (2015)
- ICER 2019 - Proceedings of the 2019 ACM Conference on International Computing Education Research, ICER 2019, Toronto, ON, Canada, August 12-14, 2019 (Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal) (2019)
- From Theory Bias to Theory Dialogue - Embracing Cognitive, Situated, and Critical Framings of Computational Thinking in K-12 CS Education (Yasmin B. Kafai, Chris Proctor, Debora Lui) (2019)
- Informatics in Schools. New Ideas in School Informatics (Sergei Pozdniakov, Valentina Dagienė) (2019)
- Holistic STEAM Education Through Computational Thinking - A Perspective on Training Future Teachers (Arnold Pears, Erik Barendsen, Valentina Dagienė, Vladimiras Dolgopolovas, Eglė Jasutė)
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