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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
Ma, Ning; Qian, Jinglong; Gong, Kaixin; Lu, Yao – Education and Information Technologies, 2023
Computational thinking is an important competence for learners in the twenty-first century. As an effective approach for cultivating competence in computational thinking, programming education has been extended from college to elementary school teaching. However, it is challenging to engage beginners in programming in elementary school education.…
Descriptors: Elementary School Students, Programming, Computer Science Education, Novices
Cyril Brom; Anna Drobná; Anna Yaghobová; Daniel Št’astný; Katerina Zábrodská; Marek Urban – ACM Transactions on Computing Education, 2025
Objectives: Limited research exists on how new computer science (CS) teachers understand fundamental Internet principles. This knowledge gap hinders the development of effective upskilling courses, especially as new CS curricula are being introduced worldwide. This study investigates new CS teachers' conceptions of fundamental Internet principles,…
Descriptors: Internet, Knowledge Level, Computer Science Education, Elementary School Teachers
Zhong, Baichang; Xia, Liying; Su, Siyu – Education and Information Technologies, 2022
One of the aspects of programming that novices often struggle with is the understanding of abstract concepts, such as variables, loops, expressions, and especially Boolean operations. This paper aims to explore the effects of programming tools with different degrees of embodiment on learning Boolean operations in elementary school. To this end, 67…
Descriptors: Programming Languages, Programming, Novices, Elementary Education
Paulina Haduong; Karen Brennan – Journal of Technology and Teacher Education, 2024
Online professional learning experiences can address K¬--12 computing teachers' need for content knowledge and professional communities. However, it can be difficult to design effective, large-scale experiences that reach broader audiences while addressing individual teachers' professional needs. We facilitated a two-week online professional…
Descriptors: Computer Science Education, Electronic Learning, Faculty Development, Learning Experience
Ezeamuzie, Ndudi O. – Education and Information Technologies, 2023
Several instructional approaches have been advanced for learning programming. However, effective ways of engaging beginners in programming in K-12 are still unclear, especially among low socioeconomic status learners in technology-deprived learning environments. Understanding the learning path of novice programmers will bridge this gap and explain…
Descriptors: Programming, Constructivism (Learning), Programming Languages, Computer Science Education
Chen, Yen Tzu; Liu, Che-Hung; Lee, Chih Yu – Education Quarterly Reviews, 2021
This study used CodeMonkey, an online learning platform through which elementary teachers can learn programming while playing games and experience how to integrate STEM into their courses. The study analyzed and examined their experiences using a qualitative research method. According to the research results, learning programming while playing…
Descriptors: Game Based Learning, Computer Games, Computer Science Education, STEM Education
Hu, Yue; Chen, Cheng-Huan; Su, Chien-Yuan – Journal of Educational Computing Research, 2021
Block-based visual programming tools, such as Scratch, Alice, and MIT App Inventor, provide an intuitive and easy-to-use editing interface through which to promote programming learning for novice students of various ages. However, very little attention has been paid to investigating these tools' overall effects on students' academic achievement…
Descriptors: Instructional Effectiveness, Programming Languages, Computer Science Education, Computer Interfaces
Xu, Zhen; Ritzhaupt, Albert D.; Tian, Fengchun; Umapathy, Karthikeyan – Computer Science Education, 2019
Background and Context: The use of block-based programming environments is purported to be a good way to gently introduce novice computer programmers to computer programming. A small, but growing body of research examines the differences between block-based and text-based programming environments. Objective: Thus, the purpose of this study was to…
Descriptors: Outcomes of Education, Novices, Computer Science Education, Programming
Saito, Daisuke; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Research, 2017
Aim/Purpose: When learning to program, both text-based and visual-based input methods are common. However, it is unclear which method is more appropriate for first-time learners (first learners). Background: The differences in the learning effect between text-based and visual-based input methods for first learners are compared the using a…
Descriptors: Programming, Computer Science Education, Comparative Analysis, Questionnaires
Papadakis, Stamatios; Kalogiannakis, Michail; Orfanakis, Vasileios; Zaranis, Nicholas – International Journal of Web-Based Learning and Teaching Technologies, 2017
Teaching programming is a complex task. The task is even more challenging for introductory modules. There is an ongoing debate in the teaching community over the best approach to teaching introductory programming. Visual block-based programming environments allow school students to create their own programs in ways that are more accessible than in…
Descriptors: Introductory Courses, Programming, Elementary Education, Secondary Education