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Ioannis Vourletsis – Educational Technology Research and Development, 2025
Computational thinking (CT) skills have become increasingly important in modern education, as they equip students with critical problem-solving skills applicable across various domains. Given the growing emphasis on digital literacy, it is essential to investigate grade- and gender-level differences in CT skills among students to support targeted…
Descriptors: Gender Differences, Instructional Program Divisions, Elementary School Students, Scores
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
Jhon Jairo Ramírez-Echeverry; Felipe Restrepo-Calle; Stephanie Torres Jiménez – European Journal of Education, 2025
This study investigates the self-regulated learning strategies employed by students in computer programming courses. Utilising the Questionnaire on Learning Strategies in Computer Programming (CEAPC), the research aims to identify specific strategies used by students. The findings reveal a variety of effective learning strategies, including…
Descriptors: Independent Study, Learning Strategies, Programming, Computer Science Education
Cetin, Ali; Kahyaoglu, Mustafa – Dinamika Ilmu, 2022
This research aims to examine teacher candidates' nature of science beliefs in terms of certain variables (gender, program, and class level). The participants of the research are 364 teacher candidates studying at the faculty of education of a public university in three programs; science education, elementary mathematics education, computer…
Descriptors: Preservice Teachers, Beliefs, Gender Differences, Instructional Program Divisions
Touretzky, David; Gardner-McCune, Christina; Seehorn, Deborah – International Journal of Artificial Intelligence in Education, 2023
This article provides an in-depth look at how K-12 students should be introduced to Machine Learning and the knowledge and skills they will develop as a result. We begin with an overview of the AI4K12 Initiative, which is developing national guidelines for teaching AI in K-12, and briefly discuss each of the "Five Big Ideas in AI" that…
Descriptors: Electronic Learning, Artificial Intelligence, Elementary School Students, Secondary School Students

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