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Welch, Lise E.; Shumway, Jessica F.; Clarke-Midura, Jody; Lee, Victor R. – Australian Primary Mathematics Classroom, 2021
Robot toys can be used to promote STEM subjects, particularly coding and mathematics. The lesson described in this article illustrates how a robot toy was used with a number line to explore equality and missing addends in Year 1. The lesson progression models how activities can be sequenced to build on developing understandings while supporting…
Descriptors: Robotics, Toys, Coding, STEM Education
Merkle, Edgar C.; Fitzsimmons, Ellen; Uanhoro, James; Goodrich, Ben – Grantee Submission, 2021
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…
Descriptors: Bayesian Statistics, Structural Equation Models, Psychometrics, Factor Analysis
Hebda, Maryann R. – Gifted Child Today, 2023
As technologically gifted students apply their abilities to computer science, they naturally flow through the talent development stages of potential, competency, and expertise. Processes that have always been important for gifted students to learn as they develop potential are embedded in learning code, which engages the beginning programmer in…
Descriptors: Talent Development, Technology Uses in Education, Technological Literacy, Coding
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
Robins, Anthony V. – ACM Transactions on Computing Education, 2022
This paper explores a major theoretical framework from psychology, Dual Process Theory (DPT), which has received surprisingly little attention in the computing education literature. DPT postulates the existence of two qualitatively different kinds of cognitive systems, a fast, intuitive "System 1" and a slow, reflective "System…
Descriptors: Learning Theories, Cognitive Processes, Intelligence, Long Term Memory
Nongkhai, Lalita Na; Wang, Jingyun; Mendori, Takahiko – International Association for Development of the Information Society, 2022
This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…
Descriptors: Programming Languages, Computer Science Education, Intelligent Tutoring Systems, Thinking Skills
Baker-Doyle, Kira J. – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2018
This article is a commentary essay that uses the connected learning framework (Ito et al., 2013) as a lens to explore the relationship between making, coding, and critical literacy in the context of literacy teacher education. Critical literacy theorists have argued that it is important to understand the perspective and positionality of an author…
Descriptors: Coding, Programming, Computer Science Education, Reflection
Joyce Vogel; Dan Bouhnik – European Journal of Education, 2024
Introduction to Computer Science is traditionally the first course that all computer science and software engineering majors take. The course introduces many problem-solving techniques which can be challenging for many freshman students. In order to mitigate some of the issues of this course, we, at the Higher Education Institute, introduced a new…
Descriptors: Computer Science Education, Introductory Courses, Awards, Problem Based Learning
Jones, Leslie B.; Hopkins, Britney J. – PRIMUS, 2020
Computer programming and mathematical algorithms are natural partners in the development of programming skills, logical thought, and a deeper understanding of mathematical concepts. We present the details of a course which blends the two at the sophomore level. This course is required of our mathematics majors, but attracts mathematics minors from…
Descriptors: Mathematics Instruction, Programming, Teaching Methods, College Mathematics
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
Yuxin Chen; Yuting Wu; Zhengwen Li; Yanyan Zheng; Binhang Yan; Yi Cheng – Journal of Chemical Education, 2023
The "maker" movement is gaining widespread attention, especially in the field of laboratory education. Here we have built a low-cost, "do-it-yourself", open-source thermal conductivity cell detector (TCD) for chemical laboratory analysis, which is assembled from thermal conductivity gas sensor elements and 3D-printed flow cell…
Descriptors: Costs, Open Educational Resources, Chemistry, Science Laboratories
Beck, Bernard – Multicultural Perspectives, 2021
"The Undoing," a miniseries on the cable channel HBO, is a crime melodrama that presents unannounced background content reflecting the changing multicultural situation in the United States. A dominant white Euro-American group is becoming merely another group in a crowded field of American subcultures. Although multicultural issues are…
Descriptors: Television, Programming (Broadcast), Crime, Cultural Pluralism
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
Aguilera, Earl – Theory Into Practice, 2021
This article uses a lens of procedural literacies to theorize youth practices of digital game-playing, modification, and creation as digital writing. The concept of procedurality describes the ways that videogames and other digital media are composed of systems of processes--computational or otherwise, which define these artifacts in form,…
Descriptors: Computer Games, Video Games, Writing (Composition), Programming
Shaltayev, Dmitriy – Decision Sciences Journal of Innovative Education, 2021
In this article, we describe the use of linear programming in conjunction with an online simulation game in an undergraduate supply chain management class. Supply chain management is a required course for students enrolled in a Business Administration program with a concentration in management. It delivers a broad overview of the supply chain…
Descriptors: Undergraduate Students, Educational Games, Computer Simulation, Computer Games

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