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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
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Anne B. Reinertsen – Policy Futures in Education, 2025
Digitalization needs to be storied for me to become critical of and creative with its functionings. In today's algorithmic condition, knowledge production and learning are complex posthuman entanglements: the human as materially affective has become fabricated hybrids of organism and machine. Storying is seen as simultaneous processes of…
Descriptors: Algorithms, Story Telling, Technology Uses in Education, Humanization
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Ivens, John P. – Education and Information Technologies, 2023
How instructional sequences guide learning processes are often regarded as a neutral act. However, does designing instruction carry a politics? This investigation explores how instruction is made as a pedagogical object. The purpose is to explore the epistemological principles and conceptual framework that produce instruction's formalized…
Descriptors: Instructional Design, Politics of Education, Learning Trajectories, Epistemology
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Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
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Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
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Norcio, A. F.; Kerst, Stephen M. – Journal of the American Society for Information Science, 1983
Results of study investigating human memory organization in processing of computer programming languages indicate that algorithmic logic segments form a cognitive organizational structure in memory for programs. Statement indentation and internal program documentation did not enhance organizational process of recall of statements in five Fortran…
Descriptors: Algorithms, Computer Programs, Epistemology, Memory
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Wager, Walter – Journal of Educational Technology Systems, 1981
This review of four different computer-assisted instruction algorithms concludes that current authoring guides are more concerned with "user orientation" than with instructional principles, and advocates the application of a design model based on Gagne's information processing model of instruction. Nine references are listed. (MER)
Descriptors: Algorithms, Comparative Analysis, Computer Assisted Instruction, Epistemology
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Naveh-Benjamin, Moshe; And Others – Journal of Educational Psychology, 1986
This article presents a new method of inferring students' cognitive structures and their development. A modification of Reitman and Rueter's "ordered tree technique," the method generates a structure that displays important relationships assumed to be in a student's memory about concepts taken from a specific field of study. (Author/LMO)
Descriptors: Algorithms, Analysis of Variance, Cognitive Development, Cognitive Structures
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Self, John – Instructional Science, 1986
Considers possibility of developing a computer tutor around an explicit concept-learning theory derived from machine learning techniques. Some problems with using the focusing (and similar) algorithms in this role are discussed and possible solutions are developed. Design for a guided discovery learning system for tutoring concepts is proposed.…
Descriptors: Algorithms, Computer Software, Concept Teaching, Databases