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Blanke, Tobias; Colavizza, Giovanni; van Hout, Zarah – Education for Information, 2023
The article presents an open educational resource (OER) to introduce humanities students to data analysis with Python. The article beings with positioning the OER within wider pedagogical debates in the digital humanities. The OER is built from our research encounters and committed to computational thinking rather than technicalities. Furthermore,…
Descriptors: Open Educational Resources, Data Analysis, Programming Languages, Humanities
Ng, Oi-Lam; Leung, Allen; Ye, Huiyan – ZDM: Mathematics Education, 2023
Programming is an interdisciplinary practice with applications in both mathematics and computer science. Mathematics concerns rigor, abstraction, and generalization. Computer science predominantly concerns efficiency, concreteness, and physicality. This makes programming a medium for problem solving that mediates between mathematics and computer…
Descriptors: Computation, Thinking Skills, Programming, Programming Languages
Buteau, Chantal; Muller, Eric; Mgombelo, Joyce; Sacristán, Ana Isabel; Dreise, Kirstin – Digital Experiences in Mathematics Education, 2020
In this article, we seek to understand how university students learn to use programming as an instrument for 'authentic' mathematical investigations. We use the instrumental approach as a framework, focusing on how the transformation of the programming language into an instrument requires that the user develops or mobilizes multiple schemes at…
Descriptors: Undergraduate Students, Programming, Mathematics Education, Mathematics Skills
Aljameel, Iman H. – Online Submission, 2022
This study aims to conduct a literature review to explore the justification for including programming and coding in K-12 curricula. Additionally, it considers the value of teaching computational thinking and programming principles, pedagogical strategies, and the advantages and drawbacks of teaching programming to young students. Most studies…
Descriptors: Elementary Secondary Education, Computer Science Education, Programming Languages, Programming
Fávero, Luiz Paulo; Souza, Rafael de Freitas; Belfiore, Patrícia; Corrêa, Hamilton Luiz; Haddad, Michel F. C. – Practical Assessment, Research & Evaluation, 2021
In this paper is proposed a straightforward model selection approach that indicates the most suitable count regression model based on relevant data characteristics. The proposed selection approach includes four of the most popular count regression models (i.e. Poisson, negative binomial, and respective zero-inflated frameworks). Moreover, it…
Descriptors: Regression (Statistics), Selection, Statistical Analysis, Models
Mirolo, Claudio; Izu, Cruz; Lonati, Violetta; Scapin, Emanuele – Informatics in Education, 2021
When we "think like a computer scientist," we are able to systematically solve problems in different fields, create software applications that support various needs, and design artefacts that model complex systems. Abstraction is a soft skill embedded in all those endeavours, being a main cornerstone of computational thinking. Our…
Descriptors: Computer Science Education, Soft Skills, Thinking Skills, Abstract Reasoning
Bati, Kaan – Informatics in Education, 2022
This study reports the findings of a program that aims to develop pre-service science teachers' computational problem-solving skills and views on using information and communications technology in science education. To this end, pre-service science teachers were trained on computational thinking, computational problem solving, designing an…
Descriptors: Foreign Countries, Programming, Programming Languages, Technology Integration
Tsung-Chih Hsiao; Ya-Hsueh Chuang; Chien-Yun Chang; Tzer-Long Chen; Hong-Bo Zhang; Jhih-Chung Chang – SAGE Open, 2023
The capability of computer programming language logic is one of the basics of technical education. How to improve students "interest in program logic design and help overcome students" fears of coding has become vital for educators. Cultivating practical talents with information technology application and basic programming development…
Descriptors: Computer Science Education, Computation, Thinking Skills, Programming
João Piedade; Nuno Dorotea – Informatics in Education, 2023
Computational Thinking (CT) has emerged in recent years as a thematic trend in education in many countries and several initiatives have been developed for its inclusion in school curricula. There are many pedagogical strategies to promote the development of elementary school students' CT skills and knowledge. Unplugged learning tasks, block-based…
Descriptors: Programming, Programming Languages, Grade 4, Elementary School Students
Fleischer, Yannik; Biehler, Rolf; Schulte, Carsten – Statistics Education Research Journal, 2022
This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students' work is based on a…
Descriptors: Statistics Education, Educational Research, Electronic Learning, Secondary School Students
Katchapakirin, Kantinee; Anutariya, Chutiporn; Supnithi, Thepchai – Education and Information Technologies, 2022
Computational Thinking (CT) has been formally incorporated into the National Curriculum of Thailand since 2017, where Scratch, a block-based visual programming language, has been widely adopted as CT learning environment for primary-level students. However, conducting hands-on coding activities in a classroom has caused substantial challenges…
Descriptors: Computation, Thinking Skills, Programming Languages, Foreign Countries
Metcalf, Shari J.; Reilly, Joseph M.; Jeon, Soobin; Wang, Annie; Pyers, Allyson; Brennan, Karen; Dede, Chris – Computer Science Education, 2021
Background and Context: This study looks at computational thinking (CT) assessment of programming artifacts within the context of CT integrated with science education through computational modeling. Objective: The goal is to explore methodologies for assessment of student-constructed computational models through two lenses: functionality and…
Descriptors: Evaluation Methods, Computation, Thinking Skills, Science Education
Amos Oyelere Sunday; Friday Joseph Agbo; Jarkko Suhonen; Ilkka Jormanainen; Markku Tukiainen – Education and Information Technologies, 2025
The need to integrate the teaching and learning of computational thinking (CT) in K-12 education has been on the rise since it was identified as a skill for solving 21st-century problems. The co-design pedagogical approach has shown great potential in promoting effective communication of CT to both university and K-12 students with the support of…
Descriptors: Computation, Thinking Skills, Foreign Countries, Elementary Secondary Education
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
Verrett, Jonathan; Boukouvala, Fani; Dowling, Alexander; Ulissi, Zachary; Zavala, Victor – Chemical Engineering Education, 2020
Computational notebooks are an increasingly common tool used to support student learning in a variety of contexts where computer programming can be applied. These notebooks provide an easily distributable method of displaying text and images, as well as sections of computer code that can be manipulated and run in real-time. This format allows…
Descriptors: Computer Science Education, Programming, Programming Languages, College Students

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