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Tugba Abanoz; Filiz Kalelioglu – European Early Childhood Education Research Journal, 2025
In the digital age, it's crucial to equip children with twenty-first-century skills, including programming and other competencies such as creativity, analytical thinking, and collaboration. This study introduces an integrated STEM (Science, Technology, Engineering, and Mathematics) curriculum focused on computer science for educators. It explores…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Children, STEM Education
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Kaur, Amanpreet; Chahal, Kuljit Kaur – Journal of Science Education and Technology, 2023
Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…
Descriptors: Personality, Learning Motivation, Computation, Thinking Skills
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Alajlan, Hayat; Alebaikan, Reem; Almassaad, Ahmad – Technology, Pedagogy and Education, 2023
This study identified appropriate pedagogy for computational thinking in K-12 computer education. The Delphi technique was employed to collect different views, ideas and opinions derived a consensus from a panel of 12 international experts through a series of questionnaires. The experts have various experiences in computer science, computer…
Descriptors: Elementary Secondary Education, Computation, Thinking Skills, Computer Science Education
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Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Gurung, Regan A. R.; Mai, Theresa; Nelson, Matthew; Pruitt, Sydney – Teaching of Psychology, 2022
Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…
Descriptors: Predictor Variables, Study Skills, Thinking Skills, Metacognition
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Wu, Ting-Ting; Chen, Jian-Ming – Journal of Educational Computing Research, 2022
Many countries have incorporated computational thinking (CT) and programming languages into their science and technology courses. Students can improve their CT ability by learning programming languages. Moreover, situated learning enables students to generate knowledge and master problem-solving skills through interaction with situations. This…
Descriptors: Computer Software, Thinking Skills, Programming, Situated Learning
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Huang, Sheng-Bo; Jeng, Yu-Lin; Lai, Chin-Feng – Journal of Educational Computing Research, 2021
In recent years, the government has actively set up computer programming courses to train those with the relevant talent; however, the learning performance of the students is not ideal. Therefore, in order to learn programming skills, students usually adopt note-taking strategies because, due to the pressure of the course, the teachers do not have…
Descriptors: Notetaking, Learning Strategies, Cognitive Style, Peer Teaching
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Hadad, Shlomit; Shamir-Inbal, Tamar; Blau, Ina; Leykin, Eynat – Journal of Educational Computing Research, 2021
This study explored (1) pedagogical strategies in Educational Coding and Robotics (ECR) learning which can develop computational thinking of students and (2) the degree of teacher centrality in the ECR classroom. In addition, we investigated (3) the added value of the Small Private Online Course (SPOC) to teacher professional development (TPD). We…
Descriptors: Professional Development, Inservice Teacher Education, Elementary School Teachers, Programming
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Sanford, John F.; Naidu, Jaideep T. – Contemporary Issues in Education Research, 2017
The paper argues that mathematical modeling is the essence of computational thinking. Learning a computer language is a valuable assistance in learning logical thinking but of less assistance when learning problem-solving skills. The paper is third in a series and presents some examples of mathematical modeling using spreadsheets at an advanced…
Descriptors: Mathematical Models, Computation, Cognitive Processes, Problem Solving
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Raiyn, Jamal; Tilchin, Oleg – Journal of Education and Practice, 2015
Meaningful learning based on PBL is new learning strategy. Compared to traditional learning strategy, the meaningful learning strategy put the student in center of the learning process. The roles of the student in the meaningful learning strategy will be increased. The Problem-based Learning (PBL) model is considered the most productive way to…
Descriptors: Problem Based Learning, Thinking Skills, Computer Science Education, Learning Strategies
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Yagci, Mustafa – Turkish Online Journal of Educational Technology - TOJET, 2016
High-level thinking and problem solving skill is one requirement of computer programming that most of the students experience problems with. Individual differences such as motivation, attitude towards programming, thinking style of the student, and complexity of the programming language have influence on students' success on programming. Thus,…
Descriptors: Blended Learning, Programming Languages, Success, Student Motivation
Mingo, Wendye Dianne – ProQuest LLC, 2013
This study attempts to determine if authentic learning strategies can be used to acquire knowledge of and increase motivation for computational thinking. Over 600 students enrolled in a computer literacy course participated in this study which involved completing a pretest, posttest and motivation survey. The students were divided into an…
Descriptors: Learning Strategies, Computation, Thinking Skills, Computer Literacy
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Ginat, David – Mathematics and Computer Education, 2006
In this paper, the author aims to offer an elaboration of simple, yet powerful, mathematical patterns through mathematical games. Mathematical games may serve as colorful instructional tools for teachers and textbooks, and may raise students' motivation and intuition. Patterns are fundamental in mathematics and computer science. In the case of…
Descriptors: Student Motivation, Computer Science, Educational Games, Mathematical Concepts
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Gal-Ezer, Judith; Lichtenstein, Orna – Mathematics and Computer Education, 1997
Shows by means of a mathematical example how algorithmic thinking and mathematical thinking complement each other. An algorithmic approach can lead to questions that deepen the understanding of mathematics material. (DDR)
Descriptors: Algorithms, Case Studies, Cognitive Processes, Computer Science Education
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