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Amy Hutchison; Qi Si; Jamie Colwell; Erdogan Kaya; Eileen Jakeway; Brittany Miller; Kristie Gutierrez; Kelly Regan; Anna Evmenova – Journal of Computer Assisted Learning, 2025
Background: In recent years, computer science education has emerged as a necessary part of school curricula for students of all ages. With such momentum in this direction, it is essential that program designers, educators, and researchers ensure that computer science education is designed to be inclusive, effective, and engaging for all students.…
Descriptors: Coding, Instruction, Scaffolding (Teaching Technique), Literacy
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Erümit, Ali Kürsat – Education and Information Technologies, 2020
Purpose of this study is determined effects of different teaching approaches on programming skills. Therefore, the effect of three different types of activities prepared with Scratch on 423 sixth grade students' attitudes towards computer technologies, algorithmic thinking skills and reflective thinking skills on problem solving were investigated.…
Descriptors: Teaching Methods, Instructional Effectiveness, Programming, Programming Languages
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Coggins, Porter E. – Computers in the Schools, 2013
The purpose of this article is to present several implications and recommendations regarding what elementary school children, aged 9-12 years, know about computer passwords and what they know about why computer passwords are important. Student knowledge can then be used to make relevant curriculum decisions based in conjunction with applicable…
Descriptors: Computer Security, Elementary School Students, Student Attitudes, Computer Attitudes
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Mercier, E. M.; Barron, B.; O'Connor, K. M. – Journal of Computer Assisted Learning, 2006
Gender differences in the pursuit of technology careers are a current issue of concern. We report on two studies that use surveys, drawings and interviews to examine sixth- and eighth-grade students' perceptions of knowledgeable computer users and their self-perception as a computer-type person. In Study 1, participants were asked to generate…
Descriptors: Gender Differences, Computers, Student Surveys, Interviews