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W. Paige Hall; Kevin Cantrell – Journal of Chemical Education, 2024
Human-driven carbon emissions have resulted in increased levels of dissolved carbon dioxide in the Earth's oceans. This dissolved carbon dioxide reacts with water to form carbonic acid, which impacts ocean acidity as well as the solubility of carbonate-containing compounds, with far-reaching impacts on marine ecosystems and the human communities…
Descriptors: Programming Languages, Computer Science Education, Chemistry, Marine Biology
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Lintang Matahari Hasani; Kasiyah Junus; Lia Sadita; Ayano Ohsaki; Tsukasa Hirashima; Yusuke Hayashi – Online Learning, 2025
Online discussion based on the community of inquiry (CoI) framework has received considerable popularity due to its potential benefits for enhancing problem-solving skills and achieving deep understanding in the long term. However, it is challenging to make learners actively conduct a discussion using typical environments (e.g., asynchronous…
Descriptors: Electronic Learning, Inquiry, Communities of Practice, Undergraduate Students
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Pál Sarmasági; Anikó Rumbus; Javier Bilbao; András Margitay-Becht; Zsuzsa Pluhár; Carolina Rebollar; Valentina Dagiene – Informatics in Education, 2025
Algebraic Thinking (AT) and Computational Thinking (CT) are pivotal competencies in modern education, fostering problem-solving skills and logical reasoning among students. This study presents the initial hypotheses, theoretical framework, and key steps undertaken to explore characterized learning paths and assign practice-relevant tasks. This…
Descriptors: Algebra, Computation, Thinking Skills, Problem Solving
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Lintang Matahari Hasani; Kasiyah Junus; Lia Sadita; Tsukasa Hirashima; Yusuke Hayashi – Online Learning, 2025
Online collaborative learning (OCL) based on the community of inquiry (CoI) framework is often implemented in the form of an online discussion activity for teaching subjects that require learners to revise their understandings and invent ways to solve problems. However, implementing OCL is challenging due to the difficulty of fostering…
Descriptors: Thinking Skills, Inquiry, Computer Mediated Communication, Asynchronous Communication
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K. Ann Renninger; Ruth C. Elias; Mariko J. Kamiya; Jennifer N. Paige; Raymond A. Youngblood – Computer Science Education, 2025
Background and Context: Integrating computer science (CS) and math in classrooms is an increasingly recognized way for schools to address national CS mandates. There is a need to understand how professional development (PD) can support teachers to integrate. Objective: We examined math teachers' interest, and confidence, in math, CS, and student…
Descriptors: Faculty Development, Teacher Workshops, Computer Science Education, Mathematics Instruction
Michelle Hodara; Ming Yin – Education Northwest, 2025
Computational thinking encompasses proficiencies in computer science and general problem-solving and can support students' learning across subject areas and success in science, technology, engineering, and mathematics (STEM) education and career pathways. To support students' STEM outcomes, many school districts are offering computer science…
Descriptors: Computation, Thinking Skills, Outcomes of Education, STEM Education
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Salehi, Ozlem; Seskir, Zeki; Tepe, Ilknur – IEEE Transactions on Education, 2022
Contribution: In this study, an alternative educational approach for introducing quantum computing to a wider audience is highlighted. The proposed methodology considers quantum computing as a generalized probability theory rather than a field emanating from physics and utilizes quantum programming as an educational tool to reinforce the learning…
Descriptors: Computer Science Education, Quantum Mechanics, Computation, Teaching Methods
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Agnese Ilaria Telloni – International Journal of Mathematical Education in Science and Technology, 2024
We present a model for roleplaying (RP) for university students that is aimed at fostering the interactions of each learner with the teacher and coursemates, self- and peer-assessment, as well as an awareness and meaningful learning of mathematics. Specific features of our model are its focus on metacognition and individualized learning, based on…
Descriptors: Advanced Courses, Mathematics Instruction, Metacognition, Engineering Education
Torbey, Ryan; Martin, Nicole D.; Warner, Jayce R.; Fletcher, Carol L. – Texas Education Research Center, 2020
A complex web of factors can influence whether students participate in computer science (CS) during high school. In order to increase participation in CS for all students, there is a need to better understand who is currently participating and what factors might be hindering participation. This study utilized a large-scale, student-level dataset…
Descriptors: Algebra, High School Students, Computer Science Education, Student Participation
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Miriam N. Wallach; Igor' Kontorovich – International Journal of Research in Undergraduate Mathematics Education, 2024
The COVID-19 pandemic shifted higher education online, drawing attention to synchronous learning and instruction on digital communication platforms. Learner-centered teaching practices in the tertiary level, such as mathematical discussions, have been shown to benefit student learning. The interactions involved in online synchronous mathematical…
Descriptors: COVID-19, Pandemics, Learner Controlled Instruction, Electronic Learning
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Finke, Sabrina; Kemény, Ferenc; Sommer, Markus; Krnjic, Vesna; Arendasy, Martin; Slany, Wolfgang; Landerl, Karin – Computer Science Education, 2022
Background: Key to optimizing Computational Thinking (CT) instruction is a precise understanding of the underlying cognitive skills. Román-González et al. (2017) reported unique contributions of spatial abilities and reasoning, whereas arithmetic was not significantly related to CT. Disentangling the influence of spatial and numerical skills on CT…
Descriptors: Spatial Ability, Cognitive Ability, Abstract Reasoning, Arithmetic
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Hartati, Sulis Janu; Vitianingsih, Anik Vega; Kurniati, Neny; Sulistyowati; Muhajir – International Education Studies, 2020
This paper examines the limited proficiency to engage in programming algorithms among university students in information technology and information system in several universities across Surabaya, Indonesia. The purpose of this research is to find the most influential factor in learning programming algorithm using a quantitative approach. The…
Descriptors: Mathematics Skills, Thinking Skills, Programming, Information Technology
Zhang, Zhiyong; Zhang, Danyang – Grantee Submission, 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education
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Turra, Héctor; Carrasco, Valeria; González, Ciro; Sandoval, Vicente; Yáñez, Soledad – Higher Education Pedagogies, 2019
This paper analyzes the impact of a Course Transformation process based on a Flipped Classroom strategy on Chilean Engineering students' attitudes toward university-level mathematics. The Attitudes Toward Mathematics Inventory (ATMI) questionnaire was applied as both pre- and post-test to 76 students in three mathematic courses (Calculus I,…
Descriptors: Foreign Countries, Engineering Education, Pretests Posttests, Mathematics Instruction
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Hutz, Benjamin – PRIMUS, 2017
This article examines the use of the computer algebra system SAGE for undergraduate student research projects. After reading this article, the reader should understand the benefits of using SAGE as a source of research projects and how to commence working with SAGE. The author proposes a tiered working group model to allow maximum benefit to the…
Descriptors: Undergraduate Students, Research Projects, Algebra, Computer Science
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