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David Shilane; Nicole Di Crecchio; Nicole L. Lorenzetti – Teaching Statistics: An International Journal for Teachers, 2024
Educational curricula in data analysis are increasingly fundamental to statistics, data science, and a wide range of disciplines. The educational literature comparing coding syntaxes for instruction in data analysis recommends utilizing a simple syntax for introductory coursework. However, there is limited prior work to assess the pedagogical…
Descriptors: Programming, Data Science, Programming Languages, Coding
Kathy A. Mills; Jen Cope; Laura Scholes; Luke Rowe – Review of Educational Research, 2025
Teaching coding and computational thinking is an emerging educational imperative, now embedded in compulsory curriculum in the United States, Finland, the UK, Germany, Belgium, the Netherlands, New Zealand, and Australia. This meta-synthesis of 49 studies critically reviews recent international research (2009-2022) of coding and computational…
Descriptors: Coding, Programming, Computation, Thinking Skills
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
Yang, Weipeng; Luo, Haoran; Su, Jiahong – British Journal of Educational Technology, 2022
The proliferation of screen-free programmable robotics allows teachers to implement age-appropriate integrated activities that can promote child learning and development. However, very scarce is known about the challenges of using programmable robots as a tool to empower children in minority communities. This mixed-methods case study examined a…
Descriptors: Robotics, Minority Group Students, Low Income Students, Programming
Schwab-McCoy, Aimee; Baker, Catherine M.; Gasper, Rebecca E. – Journal of Statistics and Data Science Education, 2021
In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and…
Descriptors: Statistics Education, Higher Education, College Students, Teaching Methods
Zeybek, Gülçin – i.e.: inquiry in education, 2021
In this study, it is aimed to determine the effect of the layered curriculum activities on students' academic achievement and retention of learning and to determine the students' views regarding the applied program. The research was carried out with random experimental model with pretest-posttest control group. In addition to quantitative data,…
Descriptors: Curriculum, Teaching Methods, Academic Achievement, Retention (Psychology)
Ibrahim Aydin; Vahide Bulut – Journal of Educational Technology and Online Learning, 2024
The purpose of this study is to provide students with a 21st century training that can be easily applied to industrial automation training, both online and in person, and that goes beyond traditional learning methods. It involves creating and programming a training package that is compatible with the Ministry of National Education (MEB)…
Descriptors: Active Learning, Student Projects, Industrial Education, Manufacturing Industry