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Lili Zhou; TienTien Lee; Mingming Xing; Kaifeng Xue – Science & Education, 2025
Green development is an effective mode of economic growth and social development aiming at efficiency, harmony, and sustainability, which has become an important trend. The development of green industry is taken by many countries as an important measure to promote economic restructuring and highlighting environmental awareness. The green chemistry…
Descriptors: Scientific Literacy, Scientific Attitudes, Conservation (Environment), Chemistry
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
Park, JinHyeong; Kim, Dong-Won – Educational Studies in Mathematics, 2023
Coordination of theoretical probability and relative frequency estimates is challenging in probability teaching and learning. Modeling is one of the ways of teaching and learning that facilitates inquiry between these two perspectives. Given that, we designed a modeling activity to support fifteen secondary students in investigating theoretical…
Descriptors: Probability, Computation, Mathematics Instruction, Mathematical Models
Semenenko, Liliia; Kirsanov, Serhii; Onofriichuk, Petro; Vasianovych, Mykola; Levchenko, Ihor – Journal of Curriculum and Teaching, 2022
High requirements for professional training of Defence Specialists were and remain the main guarantee of successful functioning of any military structure. Continuous improvement of the educational process in higher military educational institutions is the basis for its transformation to the conditions of the current situation in the world. In the…
Descriptors: Military Training, Mathematical Models, Higher Education, Study
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
Adam Sales; Sooyong Lee; Tiffany Whittaker; Hyeon-Ah Kang – Society for Research on Educational Effectiveness, 2023
Background: The data revolution in education has led to more data collection, more randomized controlled trials (RCTs), and more data collection within RCTs. Often following IES recommendations, researchers studying program effectiveness gather data on how the intervention was implemented. Educational implementation data can be complex, including…
Descriptors: Program Implementation, Data Collection, Randomized Controlled Trials, Program Effectiveness
Renata Passos Machado Vieira; Francisco Regis Vieira Alves; Paula Maria Machado Cruz Catarino – Pedagogical Research, 2024
Considering the content of history of mathematics textbooks, it's evident that their emphasis is primarily on the illustrative aspects of recurring numerical sequences, with a particular focus on the Fibonacci sequence. Unfortunately, this limited approach results in the neglect of other sequences akin to the Fibonacci numbers, thus rendering the…
Descriptors: Preservice Teacher Education, Preservice Teachers, Mathematics Instruction, Mathematics Education
Cuhadar, Ismail – Measurement: Interdisciplinary Research and Perspectives, 2022
In practice, some test items may display misfit at the upper-asymptote of item characteristic curve due to distraction, anxiety, or carelessness by the test takers (i.e., the slipping effect). The conventional item response theory (IRT) models do not take the slipping effect into consideration, which may violate the model fit assumption in IRT.…
Descriptors: Sample Size, Item Response Theory, Test Items, Mathematical Models
Yuan Hsiao; Lee Fiorio; Jonathan Wakefield; Emilio Zagheni – Sociological Methods & Research, 2024
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…
Descriptors: Migration, Migration Patterns, Data Collection, Data Analysis
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
Albarracín, Lluís; Segura, Carlos; Ferrando, Irene; Gorgorió, Núria – Teaching Mathematics and Its Applications, 2022
Creating and developing mathematical models to solve real-world problems is a complex task and students often have difficulties in tackling it successfully. The design and implementation of sequences that help students autonomously develop their ability to solve modelling tasks could be a useful scaffolding tool to foster modelling learning. In…
Descriptors: Mathematical Models, Grade 10, Secondary School Mathematics, High School Students
Andreas Haraldsrud; Tor Ole B. Odden – Journal of Chemical Education, 2023
When learning chemistry, students must learn to extract chemical information from mathematical expressions. However, chemistry students' exposure to mathematics often comes primarily from pure mathematics courses, which can lead to knowledge fragmentation and potentially hinder their ability to use mathematics in chemistry. This study examines how…
Descriptors: Chemistry, Mathematics, Computation, Cognitive Processes
Halvoník, Dominik; Kapusta, Jozef; Munk, Michal – Interactive Learning Environments, 2023
The main aim of this paper is to present results of an experimental test focused on the validity and effectiveness of composed methodology aimed at increasing the student's attention in Virtual Learning Environment. Areas of presented methodology which were subject of our research is students behavior during learning. The behavioral part of…
Descriptors: Electronic Learning, Time on Task, Learning Management Systems, Attention
Lehmann, Timothy H. – International Journal of Science and Mathematics Education, 2022
Network analysis is a topic in secondary mathematics education of growing importance because it offers students an opportunity to understand how to model and solve many authentic technology and engineering problems. However, very little is known about how students make sense of the algorithms typically used in network analysis. In this study, I…
Descriptors: Mathematics, Computation, Network Analysis, Secondary School Mathematics
Fergusson, Anna; Pfannkuch, Maxine – Mathematical Thinking and Learning: An International Journal, 2022
The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms…
Descriptors: Foreign Countries, Data Science, Statistics Education, Mathematical Models

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