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Showing 1 to 15 of 54 results Save | Export
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Ihrmark, Daniel; Tyrkkö, Jukka – Education for Information, 2023
The combination of the quantitative turn in linguistics and the emergence of text analytics has created a demand for new methodological skills among linguists and data scientists. This paper introduces KNIME as a low-code programming platform for linguists interested in learning text analytic methods, while highlighting the considerations…
Descriptors: Linguistics, Data Science, Programming, Data Analysis
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Dayae Yang; Theodore J. Kopcha – International Journal of Designs for Learning, 2022
Computer programming has become an essential part of K12 education, promoted as a way for students to engage in computational thinking that helps develop students' ability to analyze and solve problems and prepare them for future careers. Tabletop board games are seen as an effective means to help students learn computer programming. Several board…
Descriptors: Educational Games, Design, Programming, Computer Science Education
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Felipe Gonzalez-Pizarro; Claudia Lopez; Andrea Vasquez; Carlos Castro – IEEE Transactions on Education, 2024
While computational thinking arises as an essential skill worldwide, formal primary and secondary education in Latin America rarely incorporates mechanisms to develop it in their curricula. The extent to which students in the region acquire computational thinking skills remains largely unknown. To start addressing this void, this article presents…
Descriptors: Foreign Countries, Computation, Thinking Skills, College Freshmen
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Munasinghe, Bhagya; Bell, Tim; Robins, Anthony – Journal of Pedagogical Research, 2023
An unplugged approach to teaching enables students to explore Computational Thinking without using a computer. It might appear that if students are to learn programming, they should focus on computer-based work; however, it appears that using "unplugged" activities before engaging in computer-based coding (programming) activities for…
Descriptors: Learning Activities, Programming, Introductory Courses, Computation
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Hanli Geyser – ACM Transactions on Computing Education, 2024
Like digital technologies themselves, programming education is embedded in the colonial matrix of power, and access to programming knowledge demands immersion in the epistemologies of the Global North. While there is a growing body of work exploring ways to decolonise programming education, far more needs to be done. Current research focuses on…
Descriptors: Computer Science Education, Decolonization, Programming, Power Structure
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Harriger, Alka; Harriger, Bradley; Flynn, Susan – Technology and Engineering Teacher, 2021
Now in its sixth year of implementation, the TECHFIT approach involves having individuals and teams of middle school teachers successfully complete a week-long, professional development (PD) workshop through which they acquire the essential skills that contribute to the task of innovating an exergame. An exergame is a technology-supported fitness…
Descriptors: Middle School Teachers, Faculty Development, Programming, Educational Games
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Grobelna, Iwona – Informatics in Education, 2020
Control systems are becoming ever more commonly used in everyday life. This is true both in industry and in the domestic domain, in the form of e.g., smart home systems. The quality of such systems can be increased by using formal verification methods, such as the model checking technique, to make sure that the designed system fulfills all user…
Descriptors: Programming Languages, Standards, Engineering, Information Systems
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Rizk, Nadya; McKenzie, Matt; Samrout, Marya – Teaching Science, 2022
Coding is a process often associated with computers. Nevertheless, coding is a thought process that can be mastered even without a computer. In NSW, primary students are introduced to computational and algorithmic thinking as early as Stage 1. Yet, teaching coding to young students is not always easy for teachers, mostly because the process is…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
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Alderson, David L. – INFORMS Transactions on Education, 2022
This article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students…
Descriptors: Curriculum Design, Introductory Courses, Computation, Data Science
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Pang, Bo; Nijkamp, Erik; Wu, Ying Nian – Journal of Educational and Behavioral Statistics, 2020
This review covers the core concepts and design decisions of TensorFlow. TensorFlow, originally created by researchers at Google, is the most popular one among the plethora of deep learning libraries. In the field of deep learning, neural networks have achieved tremendous success and gained wide popularity in various areas. This family of models…
Descriptors: Artificial Intelligence, Regression (Statistics), Models, Classification
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Fergusson, Anna; Wild, Chris J. – Teaching Statistics: An International Journal for Teachers, 2021
The explosion in availability and variety of data requires learning experiences that reveal more of the data world faster and develop practical skills with digital technologies. Key high-level goals of the International Data Science in Schools Project (IDSSP) include having students continually immersed in the cycle of learning from data, and data…
Descriptors: Data, Data Analysis, Skill Development, Discovery Learning
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Gianmarc Grazioli; Adam Ingwerson; David Santiago Jr.; Patrick Regan; Heekun Cho – Journal of Chemical Education, 2023
Computational chemistry instructional activities are often based around students running chemical simulations via a graphical user interface (GUI). GUI-based activities offer many advantages, as they enable students to run chemical simulations with a few mouse clicks. Although these activities are excellent for introducing students to the…
Descriptors: Computation, Chemistry, Teaching Methods, Science Education
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Dogucu, Mine; Çetinkaya-Rundel, Mine – Journal of Statistics and Data Science Education, 2022
It is recommended that teacher-scholars of data science adopt reproducible workflows in their research as scholars and teach reproducible workflows to their students. In this article, we propose a third dimension to reproducibility practices and recommend that regardless of whether they teach reproducibility in their courses or not, data science…
Descriptors: Statistics Education, Data Science, Teaching Methods, Instructional Materials
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Kritzer, Karen L.; Green, Laurie – American Annals of the Deaf, 2021
While focusing on numeracy is essential in preschool classrooms with deaf and hard of hearing (DHH) children, it is also important that concepts of numeracy be taught in a way that incorporates executive functions, introduces computational thinking, and prepares students for life in a 21st-century world. Technology-enhanced teaching resources…
Descriptors: Programming, Numeracy, Mathematical Concepts, Deafness
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Albert, Jim; Hu, Jingchen – Journal of Statistics Education, 2020
Bayesian statistics has gained great momentum since the computational developments of the 1990s. Gradually, advances in Bayesian methodology and software have made Bayesian techniques much more accessible to applied statisticians and, in turn, have potentially transformed Bayesian education at the undergraduate level. This article provides an…
Descriptors: Bayesian Statistics, Computation, Statistics Education, Undergraduate Students
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