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Showing 46 to 60 of 167 results Save | Export
Jeff Bender – ProQuest LLC, 2023
At an unrivaled and enduring pace, computing has transformed the world, resulting in demand for a universal fourth foundation beyond reading, writing, and arithmetic: computational thinking (CT). Despite increasingly widespread acceptance of CT as a crucial competency for all, transforming education systems accordingly has proven complex. The…
Descriptors: Addictive Behavior, Game Based Learning, Evaluation Methods, Computation
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Lakshminarayanan, Srinivasan; Rao, N. J. – Cogent Education, 2021
CS1 courses are designed in Indian Institutions as a lecture course of three to four credits and one credit lab course. The issues related to curriculum design, instruction design, and students' learning manifest themselves as issues in the lab programs. This situation presents the lab instructor with an opportunity to understand and address the…
Descriptors: Computer Science Education, Teaching Methods, Programming, Programming Languages
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Robertson, Judy; Gray, Stuart; Martin, Toye; Booth, Josephine – International Journal of Computer Science Education in Schools, 2020
We argue that understanding the cognitive foundations of computational thinking will assist educators to improve children's learning in computing. We explain the conceptual relationship between executive functions and aspects of computational thinking. We present initial empirical data from 23 eleven year old learners which investigates the…
Descriptors: Executive Function, Computation, Thinking Skills, Mathematics Skills
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Espinal, Alejandro; Vieira, Camilo; Guerrero-Bequis, Valeria – Computer Science Education, 2023
Background and context: Transfer is a process where students apply their learning to different contexts. This process includes using their knowledge to solve problems with similar complexity, and in new contexts. In the context of programming, transfer also includes being able to understand and use different programming languages. Objective: This…
Descriptors: Block Scheduling, Computer Science Education, Programming Languages, Coding
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Ma, Hongliang; Zhao, Mei; Wang, Huixin; Wan, Xinqi; Cavanaugh, Terence W.; Liu, Ji – Educational Technology Research and Development, 2021
Computational thinking (CT) is a fundamental skill and an analytical ability that children in the twenty-first century should develop. Students should begin to work with algorithmic problem-solving and computational methods in K-12. Drawing on a conceptual framework (IGGIA) that combines CT and problem-solving, this study designed and implemented…
Descriptors: Computer Science Education, Programming Languages, Thinking Skills, Problem Solving
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Valentina Dagiene; Gintautas Grigas; Tatjana Jevsikova – Informatics in Education, 2024
The work of Niklaus Wirth, designer of the Pascal programming language, has led to the introduction of programming in schools in many countries often leading to a transformation in the way of thinking. In this article, we provide a retrospective analysis of the Lithuanian experience driven by Pascal and discuss the main ideas about teaching…
Descriptors: Programming Languages, Computer Science Education, Foreign Countries, Programming
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Lockwood, Elise; De Chenne, Adaline – International Journal of Research in Undergraduate Mathematics Education, 2020
When solving counting problems, students often struggle with determining what they are trying to count (and thus what problem type they are trying to solve and, ultimately, what formula appropriately applies). There is a need to explore potential interventions to deepen students' understanding of key distinctions between problem types and to…
Descriptors: Thinking Skills, Programming Languages, Computer Science Education, Introductory Courses
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Hutchins, Nicole M.; Biswas, Gautam; Zhang, Ningyu; Snyder, Caitlin; Lédeczi, Ákos; Maróti, Miklós – International Journal of Artificial Intelligence in Education, 2020
Driven by our technologically advanced workplaces and the surge in demand for proficiency in the computing disciplines, it is becoming imperative to provide computational thinking (CT) opportunities to all students. One approach for making computing accessible and relevant to learning and problem-solving in K-12 environments is to integrate it…
Descriptors: Computer Assisted Instruction, Problem Solving, Computation, Thinking Skills
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Gutiérrez-Cárdenas, Juan – Journal of Information Systems Education, 2020
In the current literature, there is limited evidence of the effects of teaching programming languages using two different paradigms concurrently. In this paper, we present our experience in using a multiparadigm and multiprogramming approach for an Introduction to Programming course. The multiparadigm element consisted of teaching the imperative…
Descriptors: Information Systems, Programming, Computer Science Education, Introductory Courses
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Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
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Buyukkarci, Aysegul; Taslidere, Erdal – Journal of Educational Technology, 2021
Coding education has been offered to primary school students due to certain reasons: (1) coding improves students' problem solving and creative thinking skills; and (2) it has high visual-quality and easy-to-use block-based tools. In this study, the effects of coding education on 4th grade students' self-efficacy and scratch coding achievement…
Descriptors: Computer Science Education, Programming Languages, Coding, Thinking Skills
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Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
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Simon D. Weaver; G. Alex Ambrose; Rebecca J. Whelan – Journal of Chemical Education, 2022
Students completing undergraduate majors in chemistry are not typically required to undergo formal training in computer programming or coding. As a result, many chemistry students are graduating without skills in understanding, writing, or manipulating computer code. This skills gap places students at a disadvantage, considering the widespread and…
Descriptors: Coding, Undergraduate Students, Majors (Students), Chemistry
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Yildiz Durak, Hatice – Technology, Knowledge and Learning, 2020
The aim of this research is to determine the effects of Scratch and Alice tools and programming teaching practices on student engagement, reflective thinking and problem-solving skills and computational thinking (CT) comparatively. A quasi-experimental design was used in the research and patterns with pretest-posttest control group were chosen for…
Descriptors: Secondary School Students, Computer Science Education, Programming, Programming Languages
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Cumhur, Meryem Gulyaz; Sarikaya, Hediye – Cypriot Journal of Educational Sciences, 2020
In this study, the aim is to evaluate the problem-solving processes in the understanding of problems and to determine and provide strategies, demonstration, expression and problem-writing dimensions in a numerical analysis course for engineering students. The quantitative data and qualitative data were interpreted using exploratory sequential…
Descriptors: Problem Solving, Engineering Education, Private Colleges, College Students
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