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Bhagya Munasinghe; Tim Bell; Anthony Robins – ACM Transactions on Computing Education, 2023
In learning to program and understanding how a programming language controls a computer, learners develop both insights and misconceptions whilst their mental models are gradually refined. It is important that the learner is able to distinguish the different elements and roles of a computer (compiler, interpreter, memory, etc.), which novice…
Descriptors: Computation, Thinking Skills, Programming, Programming Languages
Andreas Brandsaeter; Runar Lie Berge – Educational Studies in Mathematics, 2025
The reasons for teaching programming in school are indeed manifold. Programming can for example be utilized as a vehicle for understanding and learning particular mathematical subject matter, or as a tool for solving mathematical problems. In this paper, however, we propose to utilize programming as a vehicle for developing mathematical…
Descriptors: Mathematics Skills, Skill Development, Competence, Programming
Jessica Swenson; Aaron W. Johnson; Karen Miel; Melissa Caserto; Max Magee; J. Boomer Perry; Chloe Kimberlin; Krista Beranger; John Toftegaard – Journal of Engineering Education, 2025
Background: In professional contexts, engineers use engineering judgment to create mathematical models. Despite the importance of judgment in professional practice, the development and enactment of engineering judgment by engineering students are understudied. To better prepare students for engineering careers, there is a need to recognize and…
Descriptors: Taxonomy, Engineering Education, Undergraduate Students, Evaluative Thinking
Jonathan Robert Bowers – ProQuest LLC, 2024
To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…
Descriptors: Troubleshooting, Thinking Skills, Computation, 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
Roee Peretz; Natali Levi-Soskin; Dov Dori; Yehudit Judy Dori – IEEE Transactions on Education, 2024
Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…
Descriptors: Models, Engineering Education, Thinking Skills, Systems Approach
H. Hasruddin; Ratu Nurul Aulia – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2023
The low level of students' scientific reasoning skills is caused by the low-quality learning process. Action is needed to improve the learning process by applying innovative learning models, the Reading, Identification, Constructing, Solving, Reviewing, and Extending (RICOSRE) learning model. This research aims to determine the effect of RICOSRE…
Descriptors: Science Instruction, Thinking Skills, Comparative Analysis, Identification
Susanti, Mathilda; Suyanto, Suyanto; Jailani, Jailani; Retnawati, Heri – Journal of Education and Learning (EduLearn), 2023
Problem-based learning (PBL) has been widely applied as an alternative to improve learning outcomes, but it is still little studied in the context of the probability theory course. This study described how implementing the PBL model improves students' problem-solving and critical thinking skills in probability theory course and evaluates its…
Descriptors: Problem Based Learning, Problem Solving, Critical Thinking, Thinking Skills
Cahit Erdem – Educational Studies, 2024
This study aimed to comparatively analyse the effects of problem-based learning model (PBLM) on cognitive outputs (CO). The study reviewed quasi-experimental studies on PBLM and CO, focusing on the cognitive outputs of thinking skills, problem-solving skill, and academic achievement. The quantitative data of these studies, comprising 56 articles…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Problem Based Learning
Shin, Namsoo; Bowers, Jonathan; Roderick, Steve; McIntyre, Cynthia; Stephens, A. Lynn; Eidin, Emil; Krajcik, Joseph; Damelin, Daniel – Instructional Science: An International Journal of the Learning Sciences, 2022
We face complex global issues such as climate change that challenge our ability as humans to manage them. Models have been used as a pivotal science and engineering tool to investigate, represent, explain, and predict phenomena or solve problems that involve multi-faceted systems across many fields. To fully explain complex phenomena or solve…
Descriptors: Systems Approach, Thinking Skills, Computation, Models
Schreiner, Claudia; Wiesner, Christian – European Educational Researcher, 2023
In the context of a rapid digital transformation, digital competence is now regarded as a fourth cultural skill complementing reading, writing, and arithmetic. We argue that a well-structured and sound competence model is needed as a shared foundation for learning, teaching, pedagogical diagnostics and evaluative schemes in the school system.…
Descriptors: Computation, Thinking Skills, Digital Literacy, Competence
Chee-Kit Looi; Shiau-Wei Chan; Longkai Wu; Wendy Huang; Mi Song Kim; Daner Sun – International Journal of Science and Mathematics Education, 2024
Limited research has been conducted on the influence of computational thinking (CT) dispositions on students' mathematics performance and engagement at the secondary or junior high school level. This study aims to bridge this research gap by developing CT-integrated mathematics lessons that incorporate CT-focused problem-solving and modeling in…
Descriptors: Foreign Countries, Secondary School Students, Computation, Thinking Skills
Joalise Janse van Rensburg – Discover Education, 2024
The ability to think critically is an important and valuable skill that students should develop to successfully solve problems. The process of writing requires critical thinking (CT), and the subsequent piece of text can be viewed as a product of CT. One of the strategies educators may use to develop CT is modelling. Given ChatGPT's ability to…
Descriptors: Critical Thinking, Writing Instruction, Computer Software, Artificial Intelligence
Schukajlow, Stanislaw; Kaiser, Gabriele; Stillman, Gloria – Mathematical Thinking and Learning: An International Journal, 2023
Mathematical modeling and applications are an important part of curriculum and considered to be important for students' current and future lives. In this contribution, we focus on mathematical modeling from a cognitive prospective. Following embedding the cognitive perspective within the discourse of mathematical modeling, we describe some of the…
Descriptors: Mathematics Instruction, Metacognition, Mathematical Models, Learning Activities
Linda Oktaviani; Ullu Yandi Aulia; Mukhamad Murdiono; Suharno Suharno – Journal of Education and Learning (EduLearn), 2024
This study aims to provide a comprehensive analysis of the implementation of Pancasila learning with the goal of improving critical thinking skills through the application of the six thinking hats model. The research adopts a descriptive approach utilizing qualitative methods. The study was conducted at the Faculty of Engineering, Universitas…
Descriptors: Critical Thinking, Thinking Skills, Skill Development, Active Learning

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