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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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Siegle, Del – Gifted Child Today, 2020
The Thunkable online platform is an easy-to-use resource for creating apps for mobile devices. Computational thinking is at the heart of problem solving in computer science, and research suggests students' computational thinking improves when they use simple block coding systems similar to the format used for Thunkable.
Descriptors: Gifted Education, Academically Gifted, Technology Uses in Education, Computer Oriented Programs
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Alves, Francisco Regis Vieira; Machado Vieira, Renata Passos – International Electronic Journal of Mathematics Education, 2020
The work deals with the study of the roots of the characteristic polynomial derived from the Leonardo sequence, using the Newton fractal to perform a root search. Thus, Google Colab is used as a computational tool to facilitate this process. Initially, we conducted a study of the Leonardo sequence, addressing it fundamental recurrence,…
Descriptors: Mathematical Concepts, Teaching Methods, Visualization, Educational Technology
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Rubleske, Joseph; Fletcher, Travis; Westerfeld, Brett – Journal of Instructional Pedagogies, 2020
Electronic sports (e-sports) can be defined as digital games played competitively for an audience (Hodge et al., 2017). With a global consumer base of roughly 450 million people and projected 2019 revenues of US$1.1 billion, the e-sports industry continues to grow (Pannekeet, 2019). Behind this growth is a thriving ecosystem which includes…
Descriptors: Computer Games, Athletics, Data Collection, Data Analysis
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Sezgin, Hatice; Öztürk, Mustafa Serkan – Journal of Language and Linguistic Studies, 2020
The purpose of the present study is to find out the extent to which the real spoken language is reflected in TV series in terms of vocabulary. In accordance with this purpose, a corpus, named as the British TV Series Corpus (BTSC) was compiled for the present study using two British TV series, Sherlock and Doctor Who, and this corpus was compared…
Descriptors: Television, Programming (Broadcast), Vocabulary Development, Word Frequency
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Dickes, Amanda Catherine; Farris, Amy Voss; Sengupta, Pratim – Journal of Science Education and Technology, 2020
In recent years, the field of education has challenged researchers and practitioners to incorporate computing as an essential focus of K-12 STEM education. Integrating computing within K-12 STEM supports learners of all ages in codeveloping and using computational thinking in existing curricular contexts alongside practices essential for…
Descriptors: Elementary School Science, Coding, STEM Education, Computer Science Education
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Colin M. Gray; Paul Parsons; Austin L. Toombs; Nancy Rasche; Mihaela Vorvoreanu – International Journal of Designs for Learning, 2020
In this design case, we describe a multi-year process during which a team of faculty designed a four-year undergraduate major in user experience (UX) design at a large research-intensive institution. We document the program- and course-level design experiences of five faculty members. This multi-year process has culminated in a dual-strand,…
Descriptors: Instructional Design, Undergraduate Study, Majors (Students), Curriculum Development
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Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
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Qing Li; Mahnaz Moallem; Jeremy Boettinger; Qijie Cai; Michael Levi – Educational Technology Research and Development, 2025
Aiming to promote equity in computing, this study proposes an educational model that offers an alternative approach to inspire K-12 students to become interested in CS and develop their computational thinking (CT) skills. It also examines the experience of marginalized students during the COVID pandemic in a learning environment grounded in the…
Descriptors: Equal Education, Student Experience, COVID-19, Pandemics
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Adeli Ynostroza-Ochoa; Sylvia Celedón-Pattichis; Marios S. Pattichis; Irán Tovar; Melissa Ibarra – International Journal of Multicultural Education, 2025
Although there have been efforts to broaden the participation of underrepresented students in Science, Technology, Engineering, and Mathematics (STEM), few studies have focused on how Latine bilingual students in rural contexts can access computer programming. The purpose of this case study is to examine how translanguaging facilitates…
Descriptors: Computer Science Education, Code Switching (Language), Second Language Learning, Native Language
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Whitney, Michael; Lipford, Heather Richter; Chu, Bill; Thomas, Tyler – Journal of Educational Computing Research, 2018
Many of the software security vulnerabilities that people face today can be remediated through secure coding practices. A critical step toward the practice of secure coding is ensuring that our computing students are educated on these practices. We argue that secure coding education needs to be included across a computing curriculum. We are…
Descriptors: Computer Security, Programming, Coding, Computer Science Education
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Pellas, Nikolaos – Journal of Computer Assisted Learning, 2023
Background: Owing to the exponential growth of three-dimensional (3D) environments amongst researchers and educators to create simulation games (SGs) in primary education, there is a growing interest to examine their potential support in computer science courses instead of visual programming environments. Objectives: This study explores the…
Descriptors: Computation, Thinking Skills, Programming, Skill Development
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Chen, Ching-Huei; Liu, Tung-Kai; Huang, Kun – Journal of Research on Technology in Education, 2023
With the rapid development of artificial intelligence in many disciplines, computational thinking (CT) has become an important skill for the 21st century. To promote vocational high school students' CT skills in learning about programmable logic controllers, this study intended to examine how cognitive and metacognitive prompts separately or…
Descriptors: Vocational High Schools, High School Students, Thinking Skills, Computation
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Teimourzadeh, Aria; Kakavand, Samaneh; Kakavand, Benjamin – Marketing Education Review, 2023
In the era of big data, many business organizations consider data analytics skills as important criteria in the acquisition of qualified applicants. As numerous managerial decisions in the field of marketing are becoming evidence-based, business schools have integrated case studies about different stages of data analytics such as problem…
Descriptors: Marketing, Teaching Methods, Programming Languages, Data Analysis
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Remshagen, Anja; Huett, Kim C. – TechTrends: Linking Research and Practice to Improve Learning, 2023
As schools endeavor to provide all students with access to computational thinking and computer science, the hackathon emerges as a competitive and high-energy event that uses authentic problems to motivate learners to engage in the domain of computing. This article presents the design case of a hackathon for teenagers as enacted over five…
Descriptors: Adolescents, Computer Software, Group Activities, Problem Solving
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