NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 34 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Wei-Sheng Wang; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Conventional reflective learning methodologies in programming education often lack structured guidance and individualised feedback, limiting their pedagogical effectiveness. Whilst computational thinking (CT) offers a systematic problem-solving framework with decomposition, pattern recognition, abstraction, and algorithm design, its…
Descriptors: Computation, Thinking Skills, Educational Diagnosis, Diagnostic Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Ying Hu; Gwo-Jen Hwang – Education and Information Technologies, 2024
This study explored the effects of a self-adapted mobile concept mapping-based problem-posing (CMPP) approach applied in a virtual museum context. To investigate the effectiveness of the proposed approach, a quasi-experimental design was applied to compare the critical thinking tendency, meta-cognition tendency, problem-solving tendency,…
Descriptors: Thinking Skills, Concept Mapping, Problem Solving, Museums
Peer reviewed Peer reviewed
Direct linkDirect link
Ju-Yeon Park; Haesung Im; Sung-Ae Kim – Educational Technology & Society, 2024
Although research has demonstrated that introducing computational thinking (CT) benefits young children, there has been a lack of systematic professional development (PD) opportunities for preschool teachers. The current study investigated the impact of Teaching through Interaction-Plus (TTI-P) on preschool teachers' self-efficacy in teaching CT…
Descriptors: Preschool Teachers, Professional Development, Computation, Mental Computation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tarattakan Pachumwon; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This study introduces CAILE, a design thinking-driven conceptual framework for a Creative AI Learning Environment, designed to enhance programming skills. Evaluates clarity, appropriateness, and feasibility through expert judgment. Phase 1 synthesized 34 peer-reviewed studies (2019-2025) to articulate CAILE's structure across three layers: Inputs…
Descriptors: Creativity, Artificial Intelligence, Technology Uses in Education, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Steven Higbee; Sharon Miller; Karen Alfrey – Biomedical Engineering Education, 2025
Challenge: The Hodgkin-Huxley membrane conductance model has been featured in biomedical engineering (BME) curricula for decades. A typical BME assignment might require students to apply the relevant equations and parameters to model the generation of action potentials; however, there is opportunity for students to build and explore both…
Descriptors: Scientific Concepts, Biomedicine, Engineering Education, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kiyici, Gülbin; Kahraman, Nurcan – Science Insights Education Frontiers, 2022
This study aims to analyze the reliability generalization of the computational thinking scale. There are five dimensions of computational thinking: creativity, algorithmic thinking, cooperativity, critical thinking, and problem-solving. A Bonett transformation was used to standardize the reliability coefficient of Cronbach's alpha. A…
Descriptors: Meta Analysis, Generalization, Computation, Thinking Skills
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cucuk Wawan Budiyanto; Muhamad Nur Azmi Wahyudi; Indah Widiastuti; Rizka Latifah – Educational Process: International Journal, 2025
Background/purpose: Computational Thinking (CT) has gained widespread attention in education as a core cognitive skill essential for solving complex problems in both academic and real-world contexts. While Indonesian educators have actively adopted CT as part of national educational reforms, questions remain about how closely current practices…
Descriptors: Foreign Countries, Computation, Thinking Skills, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
Duli Pllana – Online Submission, 2024
The aim of the exploratory method research centered on the presence of mathematical tools in STEM through three main questions: Is mathematics an essential tool in the field of STEM? Can mathematics complete projects solely with mathematical and digital tools? Does understanding mathematical modeling affect STEM teaching? A better understanding of…
Descriptors: STEM Education, Mathematics, Mathematical Models, Mathematics Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yi Jin; Jason R. Harron – International Journal of Computer Science Education in Schools, 2023
Computer science (CS) has become a critical part of K-12 education worldwide. Computational thinking (CT) skills are a key set of competencies in CS education that can solve problems and use computational design to create useful solutions. However, preservice and in-service teachers are not fully prepared to integrate CS and CT into their…
Descriptors: Teacher Attitudes, Computation, Thinking Skills, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Guggemos, Josef – International Association for Development of the Information Society, 2023
Computational thinking (CT) is an important 21st-century skill. This paper aims at investigating predictors of CT self-efficacy among high-school students. The hypothesized predictors are grouped into three areas: (1) student characteristics, (2) home environment, and (3) learning opportunities. CT self-efficacy is measured with the Computational…
Descriptors: Computation, Thinking Skills, Self Efficacy, 21st Century Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Pala, Ferhat Kadir; Mihci Türker, Pinar – Interactive Learning Environments, 2021
In this study, the effects of Arduino IDE and C++ programming languages were investigated on the computational thinking skills of preservice teachers. The Computational Thinking Skills Scale was administered to preservice teachers. Firstly, a basic programming training was given and then it was asked to create group projects on a voluntary basis.…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
Previous Page | Next Page »
Pages: 1  |  2  |  3