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Anil Erkan; Sumeyra Akkaya – Journal of Education in Science, Environment and Health, 2025
This study aims to examine the views of fourth-grade primary school students on coding education given through the Scratch program by determining the students' skills in using the program and algorithmic thinking skills. The study was conducted as a one-group study with an embedded mixed design. The study group consisted of 32 students attending…
Descriptors: Elementary School Students, Grade 4, Programming, STEM Education
Mensure Alkis Küçükaydin; Hakan Çite; Hakan Ulum – Education and Information Technologies, 2024
Students enter the science, technology, engineering, and mathematics (STEM) pipeline in primary school, but leak out of it over time for various reasons. To prevent leaks, it is important to understand the variables that affect attitudes towards STEM learning from an early age. This study sought to examine the predictors of young students' STEM…
Descriptors: Foreign Countries, Elementary School Students, STEM Education, Student Attitudes
Emre Zengin; Yasemin Karal – International Journal of Assessment Tools in Education, 2024
This study was carried out to develop a test to assess algorithmic thinking skills. To this end, the twelve steps suggested by Downing (2006) were adopted. Throughout the test development, 24 middle school sixth-grade students and eight experts in different areas took part as needed in the tasks on the project. The test was given to 252 students…
Descriptors: Grade 6, Algorithms, Thinking Skills, Evaluation Methods
Fung, Tze-ho; Li, Wing-yi – Practical Assessment, Research & Evaluation, 2022
Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions--like data distribution in statistical analysis. Besides, it provides…
Descriptors: Gifted, Metacognition, Learning Strategies, Programming Languages
Juric, Josipa – International Society for Technology, Education, and Science, 2022
This paper explores the correlation between mental calculation performance and the frequency of using written algorithms in mental calculation tasks. Mental calculation is a mathematical tool used in everyday life situations during and after our formal education. After presenting an overview of the professional literature on this topic, the paper…
Descriptors: Correlation, Mathematics Instruction, Computation, Mathematics Curriculum
Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
Jenks, Theodore G. – ProQuest LLC, 2022
The purpose of this action research was to implement a digital game development project and describe its effects on the performance and attitudes of eighth-grade students in a required computer science course at South Carolina School District Alpha. The following research questions were explored: (1) How does the game development project impact…
Descriptors: Middle School Students, Active Learning, Student Projects, Games