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Showing 1 to 15 of 39 results Save | Export
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Lihui Sun; Junjie Liu – Journal of Educational Computing Research, 2025
Computational Thinking (CT) has evolved as an essential competency for K-12 students, and programming practices are recognized as the key way to facilitate CT development. However, most studies of CT development in middle graders have focused on visual programming, lacking evidence to demonstrate the effectiveness of Python programming. Therefore,…
Descriptors: Computation, Thinking Skills, Skill Development, Middle School Students
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Gökçe, Semirhan; Yenmez, Arzu Aydogan – Education and Information Technologies, 2023
Individuals learn to develop problem solving strategies and make connections between their mathematical ideas while programming, so they have the opportunity to improve their thinking skills. Scratch provides an environment to experience problem scenarios and encourages them to act out imagination while having fun. The purpose of the study is to…
Descriptors: Programming Languages, Reflection, Problem Solving, Computation
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Carscadden, Kelly; Martin, Andrew – International Journal of Higher Education, 2022
An essential skill for STEM undergraduates is the ability to understand the world by manipulating, visualizing, and analyzing data to make or evaluate claims. Current online debate, without peer-reviewed literature, explores which of two common R syntax environments (base R or tidyverse) is best for teaching novice R users. In an in-person…
Descriptors: Biology, Undergraduate Students, Programming Languages, Teaching Methods
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Hopcan, Sinan; Polat, Elif; Albayrak, Ebru – Journal of Educational Computing Research, 2022
The pair programming approach is used to overcome the difficulties of the programming process in education environments. In this study, the interaction sequences during the paired programming of preservice teachers was investigated. Lag sequential analysis were used to explore students' behavioral patterns in pair programming. The participants of…
Descriptors: Cooperative Learning, Student Behavior, Programming, Computer Science Education
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Fein, Benedikt; Graßl, Isabella; Beck, Florian; Fraser, Gordon – International Educational Data Mining Society, 2022
The recent trend of embedding source code for machine learning applications also enables new opportunities in learning analytics in programming education, but which code embedding approach is most suitable for learning analytics remains an open question. A common approach to embedding source code lies in extracting syntactic information from a…
Descriptors: Artificial Intelligence, Learning Analytics, Programming, Programming Languages
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Seong-Won Kim; Youngjun Lee – Education and Information Technologies, 2024
In this study, the influence of socio-cultural factors on attitudes toward artificial intelligence (AI) was investigated. In total, 1,677 Korean middle school students were selected to participate, and a test tool was used to measure the attitude toward AI. As a result, according to socio-cultural factors, middle school students' attitudes toward…
Descriptors: Foreign Countries, Middle School Students, Artificial Intelligence, Sociocultural Patterns
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Pudasainee-Kapri, Sangita; Pontes, Nancy M. H.; Pontes, Manuel C. F. – Journal of School Health, 2023
Background: Children with asthma are often marginalized at school, including bullying victimization. The purpose of this study is to estimate the association between asthma and school or electronic bullying victimization among US high school students, and test whether the association varies significantly by sex. Methods: Pooled data from five…
Descriptors: Bullying, Victims, Diseases, Gender Differences
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Demir, Seda; Doguyurt, Mehmet Fatih – African Educational Research Journal, 2022
The purpose of this research was to compare the performances of the Fixed Effect Model (FEM) and the Random Effects Model (REM) in the meta-analysis studies conducted through 5, 10, 20 and 40 studies with an outlier and 4, 9, 19 and 39 studies without an outlier in terms of estimated common effect size, confidence interval coverage rate and…
Descriptors: Meta Analysis, Comparative Analysis, Research Reports, Effect Size
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Forrester, Chiara; Schwikert, Shane; Foster, James; Corwin, Lisa – CBE - Life Sciences Education, 2022
The ability to program in R, an open-source statistical program, is increasingly valued across job markets, including ecology. The benefits of teaching R to undergraduates are abundant, but learning to code in R may induce anxiety for students, potentially leading to negative learning outcomes and disengagement. Anecdotes suggest a gender…
Descriptors: Undergraduate Students, Coding, Programming Languages, Anxiety
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Awaah, Fred; Okebukola, Peter; Shabani, Juma; Solarin, Daniel; Emmanuel Okyere, Ekwam – Cogent Education, 2022
The Culturo-Techno-Contextual Approach (CTCA) is a teaching method based on culture, technology, and context to ease difficulties in students' understanding of concepts. Python Programming as a concept in computer studies is difficult for students to understand at the secondary school level. This study investigates the efficacy of the CTCA in…
Descriptors: Teaching Methods, Computer Science Education, Programming Languages, Secondary School Students
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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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Stuhler, Oscar – Sociological Methods & Research, 2022
Over the past decade, sociologists have become increasingly interested in the formal study of semantic relations within text. Most contemporary studies focus either on mapping concept co-occurrences or on measuring semantic associations via word embeddings. Although conducive to many research goals, these approaches share an important limitation:…
Descriptors: Sociology, Social Science Research, Semantics, Computational Linguistics
Ian Patrick Heraty – ProQuest LLC, 2023
This dissertation was a comparative study of computer science in secondary schools in both Ireland and the United States. Computer science was a new subject compared to more established subjects in both Ireland and the United States. This dissertation looked at how this subject could be accessed by students in both countries. I used a document…
Descriptors: Computer Science Education, Comparative Education, High School Students, Foreign Countries
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Ma, Hongliang; Zhao, Mei; Wang, Huixin; Wan, Xinqi; Cavanaugh, Terence W.; Liu, Ji – Educational Technology Research and Development, 2021
Computational thinking (CT) is a fundamental skill and an analytical ability that children in the twenty-first century should develop. Students should begin to work with algorithmic problem-solving and computational methods in K-12. Drawing on a conceptual framework (IGGIA) that combines CT and problem-solving, this study designed and implemented…
Descriptors: Computer Science Education, Programming Languages, Thinking Skills, Problem Solving
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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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