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João Piedade; Nuno Dorotea – Informatics in Education, 2023
Computational Thinking (CT) has emerged in recent years as a thematic trend in education in many countries and several initiatives have been developed for its inclusion in school curricula. There are many pedagogical strategies to promote the development of elementary school students' CT skills and knowledge. Unplugged learning tasks, block-based…
Descriptors: Programming, Programming Languages, Grade 4, Elementary School Students
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Margulieux, Lauren; Parker, Miranda C.; Cetin Uzun, Gozde; Cohen, Jonathan D. – Journal of Technology and Teacher Education, 2023
Educators across disciplines are implementing lessons and activities that integrate computing concepts into their curriculum to broaden participation in computing. Out of myriad important introductory computing skills, it is unknown which--and to what extent--these concepts are included in these integrated experiences, especially when compared to…
Descriptors: Programming, Programming Languages, Computer Science Education, Age Differences
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Tep, Puthyrom; Chuathong, Saranya; Sombunsukho, Suwanna – International Journal of Psychology and Educational Studies, 2022
In higher education, a limited number of studies have been conducted on the relationship between lifestyle and creativity and dating back to more than 50 years ago. This study investigates the up-to-date results of the relationship between university students' lifestyles and their creative ideation. The data was collected two times in order to…
Descriptors: Life Style, Creativity, Undergraduate Students, Correlation
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de Ruiter, Laura E.; Bers, Marina U. – Computer Science Education, 2022
Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…
Descriptors: Programming Languages, Computer Software, Coding, Computer Science Education
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Srour, F. Jordan; Karkoulian, Silva – International Journal of Social Research Methodology, 2022
The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…
Descriptors: Diversity, Decision Making, Artificial Intelligence, Correlation
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Johnson, Roger W. – Journal of Statistics and Data Science Education, 2021
Percentage of body fat, age, weight, height, and 14 circumference measurements (e.g., waist) are given for 184 women aged 18-25. Body fat, one measure of health, was accurately determined by an underwater weighing technique which requires special equipment and training of the individuals conducting the process. Modeling body fat percentage using…
Descriptors: Body Composition, Statistics Education, Teaching Methods, Age Differences
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Sapounidis, Theodosios; Stamovlasis, Dimitrios; Demetriadis, Stavros – IEEE Transactions on Education, 2019
Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children's preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces. Background: The relevant literature mainly consists of…
Descriptors: Preferences, Profiles, Robotics, Introductory Courses