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Amanda Peel; Troy D. Sadler; Patricia Friedrichsen – Journal of Research in Science Teaching, 2025
Computational thinking (CT) is becoming increasingly important for K-12 science education, thus warranting new integrations of CT and science content. This intervention study integrated CT through unplugged, or handwritten, algorithmic explanations of natural selection. As students investigated natural selection in varying contexts (specific and…
Descriptors: Thinking Skills, Computation, Science Education, Elementary Secondary Education
YuChun Chen; Lorraine A. Jacques – Journal of Teaching in Physical Education, 2025
Purpose: This study examined how physical education majors used computational thinking (CT) skills in a movement concept course. Method: Twenty-two physical education majors were tasked to create two gymnastics routines (i.e., algorithm design), analyze their routines (i.e., decomposition and abstraction), create and follow a personalized fitness…
Descriptors: Majors (Students), Computation, Thinking Skills, Athletics
Anil Erkan; Sumeyra Akkaya – Journal of Education in Science, Environment and Health, 2025
This study aims to examine the views of fourth-grade primary school students on coding education given through the Scratch program by determining the students' skills in using the program and algorithmic thinking skills. The study was conducted as a one-group study with an embedded mixed design. The study group consisted of 32 students attending…
Descriptors: Elementary School Students, Grade 4, Programming, STEM Education
Carina Büscher – International Journal of Science and Mathematics Education, 2025
Computational thinking (CT) is becoming increasingly important as a learning content. Subject-integrated approaches aim to develop CT within other subjects like mathematics. The question is how exactly CT can be integrated and learned in mathematics classrooms. In a case study involving 12 sixth-grade learners, CT activities were explored that…
Descriptors: Mathematics Instruction, Thinking Skills, Teaching Methods, Computer Science Education
Huang Ham; Bonan Zhao; Thomas L. Griffiths; Natalia Vélez – Cognitive Science, 2025
A hallmark of effective teaching is that it grants learners not just a collection of facts about the world, but also a toolkit of abstractions that can be applied to solve new problems. How do humans teach abstractions from examples? Here, we applied Bayesian models of pedagogy to a necklace-building task where teachers create necklaces to teach a…
Descriptors: Teaching Methods, Instructional Effectiveness, Skill Development, Problem Solving
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
Maya Usher; Noga Reznik; Gilad Bronshtein; Dan Kohen-Vacs – Journal of Learning Analytics, 2025
Computational thinking (CT) is a critical 21st-century skill that equips undergraduate students to solve problems systematically and think algorithmically. A key component of CT is computational creativity, which enables students to generate novel solutions within programming constraints. Humanoid robots are increasingly explored as promising…
Descriptors: Computation, Thinking Skills, Creativity, Robotics
Wawan Kurniawan; Khairul Anwar; Jufrida Jufrida; Kamid Kamid; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education. Background: The background emphasizes the growing demand for computational thinking skills in the modern workforce and the…
Descriptors: Individualized Instruction, Electronic Learning, Computation, Thinking Skills
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
MiJeong Kim; JaMee Kim; WonGyu Lee – Education and Information Technologies, 2025
In the digital age, computational thinking (CT)-based problem-solving skills have emerged as essential competencies. Particularly, students with intellectual disabilities need equal educational opportunities and high-quality informatics education to cultivate CT-based problem-solving skills. However, research on the enhancement of CT-based…
Descriptors: Intellectual Disability, Programming, Computation, Thinking Skills
Ni Cheng; Siti Zuraidah Md Osman – Journal of Education and e-Learning Research, 2025
This study explores the current status of computational thinking (CT) skills among first-year university students and examines whether any differences exist across genders, geographic backgrounds and academic disciplines with programming learning experience given the growing interest in computational thinking (CT) in recent years. It also…
Descriptors: Computation, Thinking Skills, College Freshmen, Algorithms
Ampawan Yindeemak; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This study aimed to design, develop, and validate the RSiSTEM framework, a robotics-based simulation learning model intended to foster students' problem-solving and systems thinking competencies within STEM education. The research followed a two-phase developmental design. In Phase 1, the framework was constructed through a systematic synthesis of…
Descriptors: Computer Simulation, Robotics, Technology Uses in Education, Problem Solving
Jaime Carvalho e Silva – International Journal of Mathematical Education in Science and Technology, 2025
The use of technologies in mathematics education at all levels has been discussed extensively for a number of years. It is one of the few themes that was the object of two ICMI studies, the most recent being published in 2010. Two new approaches, emerging lately in the teaching and learning of Mathematics at all levels, will be discussed:…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Mathematics Instruction
Nikolaos Pellas – Journal of Educational Computing Research, 2025
Tangible programming tools (TPTs) are promising teaching aids in programming courses due to their interactivity and ability to enhance early childhood students' computational thinking, spatial reasoning, and executive function skills. However, it remains unclear whether TPTs support these skills simultaneously. This study examines the impact of…
Descriptors: Computation, Thinking Skills, Spatial Ability, Executive Function
I Made Suarsana; Al Jupri; Didi Suryadi; Elah Nurlaelah; I Gusti Nyoman Yudi Hartawan – Mathematics Teaching Research Journal, 2025
Mathematical and computational thinking (CT) are closely interrelated, yet CT integration into mathematics instruction remains limited. This study aims to analyze the effectiveness of the teaching process for straight-line equations in enhancing students' CT skills and to propose improvements based on the findings. A qualitative case study…
Descriptors: Mathematics Instruction, Teaching Methods, Learning Processes, Instructional Design
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