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Mauk, Maureen; Willett, Rebekah; Coulter, Natalie – Learning, Media and Technology, 2020
The past five or so years have been marked by a proliferation of educational initiatives, programmes, and toys designed to introduce children to coding and to develop their skills and interest in computer science. This article takes a critical approach to this movement, focusing specifically on ways dominant discourse surrounding the coding…
Descriptors: Computer Science, Discourse Analysis, Females, Programming
Means, Barbara M., Ed.; Stephens, Amy, Ed. – National Academies Press, 2021
Computing in some form touches nearly every aspect of day to day life and is reflected in the ubiquitous use of cell phones, the expansion of automation into many industries, and the vast amounts of data that are routinely gathered about people's health, education, and buying habits. Computing is now a part of nearly every occupation, not only…
Descriptors: Computation, Computer Uses in Education, Computer Science, Computer Science Education
Secules, Stephen; Lawson, Wesley – Advances in Engineering Education, 2019
This paper compares an innovative approach to teaching a required introductory C programming course to a traditional C programming course for electrical engineering (EE) students. The novel course utilizes hardware-based projects to motivate students to master language syntax and implement key programming concepts and best practices. In a mixed…
Descriptors: Programming, Introductory Courses, Required Courses, Engineering Education
Zinth, Jennifer Dounay – Education Commission of the States, 2015
Computer science and coding skills are widely recognized as a valuable asset in the current and projected job market. The Bureau of Labor Statistics projects 37.5 percent growth from 2012 to 2022 in the "computer systems design and related services" industry--from 1,620,300 jobs in 2012 to an estimated 2,229,000 jobs in 2022. Yet some…
Descriptors: Computer Science, Computer Science Education, Graduation Requirements, High Schools
Lau, Wilfred Wing Fat; Yuen, Allan Hoi Kau – Australasian Journal of Educational Technology, 2010
The gender digital divide has been widely discussed and researched over the years. Previous studies have focused on a number of factors such as computer attitude, computer anxiety, computer self-efficacy, and computer experience. This study empirically tested the sensitivity of a learning style instrument, the "Gregorc Style Delineator"…
Descriptors: Gender Differences, Cognitive Style, Computer Science Education, Programming