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Peracaula-Bosch, Marta; González-Martínez, Juan – Journal of Educational Computing Research, 2024
In this article, we delve into a hermeneutic process that analyzes the term "Computational Thinking" as it was constructed through Wing's series of iterations in conceptualization attempts (2006, 2008, 2011 and 2014). On the one hand, this brings us to analyze the relations and intersections between different process of thought…
Descriptors: Hermeneutics, Computation, Thinking Skills, Algorithms
Wuwen Zhang; Yurong Guan; Zhihua Hu – Education and Information Technologies, 2024
In the context of our rapidly digitizing society, computational thinking stands out as an essential attribute for cultivating aptitude and expertise. Through the prism of computational thinking, learners are more adeptly positioned to dissect and navigate real-world challenges, poising them effectively to meet the exigencies of future societal…
Descriptors: Active Learning, Student Projects, Computation, Thinking Skills
Romiszowski, Alexander J. – Educational Technology, 1987
Describes the current status and limitations of expert systems, and explores the possible applications of such systems in education and training. The use of expert systems as tutors, as job aids, and as a vehicle for students to develop their own expert systems on specific topics are discussed. (40 references) (CLB)
Descriptors: Algorithms, Computer Assisted Instruction, Decision Making, Evaluation Criteria
Taylor, Karen A. – 1991
This review of the literature and annotated bibliography summarizes the available research relating to teaching programming to high school students. It is noted that, while the process of programming a computer could be broken down into five steps--problem definition, algorithm design, code writing, debugging, and documentation--current research…
Descriptors: Algorithms, Annotated Bibliographies, Authoring Aids (Programing), Cognitive Processes

Lane, Irving M.; And Others – Group and Organization Studies, 1981
Presents both logical and empirical evidence to illustrate that the conventional scoring algorithm for ranking tasks significantly underestimates the initial level of group ability and that Slevin's alternative scoring algorithm significantly overestimates the initial level of ability. Presents a modification of Slevin's algorithm which authors…
Descriptors: Ability Identification, Algorithms, Evaluation Methods, Group Dynamics
Gratch, Jonathan; DeJong, Gerald – 1992
In machine learning there is considerable interest in techniques which improve planning ability. Initial investigations have identified a wide variety of techniques to address this issue. Progress has been hampered by the utility problem, a basic tradeoff between the benefit of learned knowledge and the cost to locate and apply relevant knowledge.…
Descriptors: Algorithms, Artificial Intelligence, Comparative Analysis, Computer System Design

Sfard, Anna – Educational Studies in Mathematics, 1991
This paper presents a theoretical framework for investigating the role of algorithms in mathematical thinking using a combined ontological-psychological outlook. The intent is to demonstrate that the processes of learning and of problem solving incorporate an elaborate interplay between operational and structural conceptualizations of the same…
Descriptors: Algorithms, Cognitive Development, Cognitive Structures, Concept Formation

Woods, Donald R. – Journal of College Science Teaching, 1990
Described are ideas for the development of problem solving in the context of chemistry. Strategies for improving students' problem solving abilities are included. (KR)
Descriptors: Algorithms, Chemistry, College Science, Critical Thinking
Funkhouser, Charles – 1990
The major perspectives on problem solving of the twentieth century are reviewed--associationism, Gestalt psychology, and cognitive science. The results of the review on teaching problem solving and the uses of computers to teach problem solving are included. Four major issues related to the teaching of problem solving are discussed: (1)…
Descriptors: Algorithms, Artificial Intelligence, Cognitive Structures, Computation