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Metin, Sermin; Basaran, Mehmet; Kalyenci, Damla – Pedagogical Research, 2023
The purpose of this research is to examine the coding skills of five-year-old children in terms of some variables. The research sample comprises 160 children aged five years studying in kindergarten affiliated with the Ministry of National Education in Gaziantep city center in the 2021-2022 academic year. As a data collection tool in the research,…
Descriptors: Programming, Kindergarten, Preschool Children, Foreign Countries
Lihui Sun; Danhua Zhou – Journal of Computer Assisted Learning, 2024
Background: Integrating programming in K-12 curriculum has become a global consensus. Teachers are central figures in programming instruction. But the majority of current research focuses on teachers' external teaching behaviours and less on teachers' attitudes towards programming. Objectives: The purpose of this study is to validate the K-12…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Teacher Attitudes
Zhang, Shuhan; Wong, Gary K. W.; Chan, Peter C. F. – Education and Information Technologies, 2023
Coding games are widely used to teach computational thinking (CT). Studies have broadly investigated the role of coding games in supporting CT learning in formal classroom contexts, but there has been limited exploration of their use in informal home-based settings. This study investigated the factors that motivated students to use a coding game…
Descriptors: Foreign Countries, Elementary School Students, Educational Games, Coding
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
Durak, Hatice Yildiz; Guyer, Tolga – Gifted Education International, 2019
Since programming processes involve different thinking skills and different fields of knowledge, it is especially important for children to acquire 21st-century skills. Even though the programming education activities are being intensively applied, it can be said that there is a gap in quantitative researches supporting the effort to reveal the…
Descriptors: Computer Science Education, Programming, Programming Languages, Active Learning
Bezuidenhout, Hanrie S.; Henning, Elizabeth – Pythagoras, 2022
The current quantitative study, a naturalistic field experiment, was conducted in a public primary school in Soweto, Johannesburg, with the objective to examine how children's achievement on four assessments at the beginning of Grade R, namely their numeracy, their mathematics-specific vocabulary, their executive functions, and their logical…
Descriptors: Programming Languages, Public Schools, Elementary School Students, Grade 1
Rachmatullah, Arif – ProQuest LLC, 2021
This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…
Descriptors: Teaching Methods, Science Instruction, Food, Intervention
Rose, Simon P.; Habgood, M. P. Jacob; Jay, Tim – Electronic Journal of e-Learning, 2017
Programming tools are being used in education to teach computer science to children as young as 5 years old. This research aims to explore young children's approaches to programming in two tools with contrasting programming interfaces, ScratchJr and Lightbot, and considers the impact of programming approaches on developing computational thinking.…
Descriptors: Young Children, Computer Science Education, Programming, Educational Games
Su, Addison Y. S.; Huang, Chester S. J.; Yang, Stephen J. H.; Ding, T. J.; Hsieh, Y. Z. – Educational Technology & Society, 2015
In Taiwan elementary schools, Scratch programming has been taught for more than four years. Previous studies have shown that personal annotations is a useful learning method that improve learning performance. An annotation-based Scratch programming (ASP) system provides for the creation, share, and review of annotations and homework solutions in…
Descriptors: Foreign Countries, Elementary School Students, Grade 6, Programming
Kiboss, Joel Kipkemboi – Journal of Educational Computing Research, 2012
Achievement in mathematics is an issue of great concern not only to students and parents but also to employers and researchers in Kenya. This is because the Kenya National Examination Council (KNEC) has continuously reported dismal results in this area, and especially in geometry. Also, KNEC indicates that it presents difficulties to both the…
Descriptors: Foreign Countries, Developing Nations, Electronic Learning, Computer Assisted Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries