Detailed Information on Publication Record

PELÁNEK, Radek and Tomáš EFFENBERGER. The Landscape of Computational Thinking Problems for Practice and Assessment. ACM TRANSACTIONS ON COMPUTING EDUCATION. UNITED STATES: ASSOC COMPUTING MACHINERY, 2023, vol. 23, No 2, p. 1-29. ISSN 1946-6226. Available from: https://dx.doi.org/10.1145/3578269.

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Basic information
Original name	The Landscape of Computational Thinking Problems for Practice and Assessment
Authors	PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution) and Tomáš EFFENBERGER (203 Czech Republic, belonging to the institution).
Edition	ACM TRANSACTIONS ON COMPUTING EDUCATION, UNITED STATES, ASSOC COMPUTING MACHINERY, 2023, 1946-6226.

Other information
Original language	English
Type of outcome	Article in a journal
Field of Study	10200 1.2 Computer and information sciences
Country of publisher	United States of America
Confidentiality degree	is not subject to a state or trade secret
WWW	URL
Impact factor	Impact factor: 2.400 in 2022
RIV identification code	RIV/00216224:14330/23:00133816
Organization unit	Faculty of Informatics
Doi	http://dx.doi.org/10.1145/3578269
UT WoS	001018474800006
Keywords in English	Skills; well-structured problems; taxonomy
Changed by	Changed by: doc. Mgr. Radek Pelánek, Ph.D., učo 4297. Changed: 18/3/2024 10:16.

Abstract
To provide practice and assessment of computational thinking, we need specific problems students can solve. There are many such problems, but they are hard to find. Learning environments and assessments often use only specific types of problems and thus do not cover computational thinking in its whole scope. We provide an extensive catalog of well-structured computational thinking problem sets together with a systematic encoding of their features. Based on this encoding, we propose a four-level taxonomy that provides an organization of a wide variety of problems. The catalog, taxonomy, and problem features are useful for content authors, designers of learning environments, and researchers studying computational thinking.

Abstract

To provide practice and assessment of computational thinking, we need specific problems students can solve. There are many such problems, but they are hard to find. Learning environments and assessments often use only specific types of problems and thus do not cover computational thinking in its whole scope. We provide an extensive catalog of well-structured computational thinking problem sets together with a systematic encoding of their features. Based on this encoding, we propose a four-level taxonomy that provides an organization of a wide variety of problems. The catalog, taxonomy, and problem features are useful for content authors, designers of learning environments, and researchers studying computational thinking.