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Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2023
This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…
Descriptors: Computational Linguistics, Programming, Computer Science Education, Programming Languages
David E. Platt – ProQuest LLC, 2024
This qualitative, phenomenological research study explores the best practices that secondary Grades 6-12 educators employ when using microcontrollers in the classroom. Governmental and private organizations have investigated and promoted the importance of Science, Technology, Engineering, Math (STEM) and computer science in education (Code…
Descriptors: Best Practices, Teaching Methods, Computer Science Education, Programming
Teresa M. Ober; Ying Cheng; Meghan R. Coggins; Paul Brenner; Janice Zdankus; Philip Gonsalves; Emmanuel Johnson; Tim Urdan – Computer Science Education, 2024
Background and Context: Differences in children's and adolescents' initial attitudes about computing and other STEM fields may form during middle school and shape decisions leading to career entry. Early emerging differences in career interest may propagate a lack of diversity in computer science and programming fields. Objective: Though middle…
Descriptors: Middle School Students, Student Attitudes, Computer Science Education, STEM Education
Sun, Dan; Ouyang, Fan; Li, Yan; Chen, Hongyu – Journal of Educational Computing Research, 2021
Pair programming is a collaborative learning mode to foster novice learners' computer programming. Previous empirical research has reported contrasting conclusions about the effect of pair programming on student learning. To further understand students' pair programming, this study uses a mixed method to analyze three contrasting pairs'…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Junior High School Students
Okal, Gozde; Yildirim, Bekir; Timur, Serkan – Educational Policy Analysis and Strategic Research, 2020
This study aimed to determine the effect of teaching model developed on coding education on students' self-efficacy and attitude towards technology. The research was conducted on 64 students who were the 5th, 6th and 7th grades of a secondary school during the fall semester of 2018-2019 academic years. The research was designed in accordance with…
Descriptors: Programming, Computer Science Education, Grade 5, Grade 6
Lavy, Ilana – International Journal of Information and Communication Technology Education, 2021
This article describes a unique ongoing experience of learning programming via engagement in music programming of known melodies. Seventh and eighth graders participated in 10 lessons of weekly activity. Via the programming of melodies, using the Scratch 2.0 environment, they became acquainted with basic concepts of programming such as methods,…
Descriptors: Teaching Methods, Computer Science Education, Programming, Music
Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
Durak, Hatice Yildiz; Yilmaz, Fatma Gizem Karaoglan; Yilmaz, Ramazan – Contemporary Educational Technology, 2019
The purpose of this study was to determine the skill levels of secondary school students regarding computational thinking, programming self-efficacy and reflective thinking aimed at problem solving and examine their experiences in the programming training process on robotic activities. Toward this purpose, a 10-week application was conducted with…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
von Wangenheim, Christiane Gresse; Alves, Nathalia Cruz; Rodrigues, Pedro Eurico; Hauck, Jean Carlo – International Journal of Computer Science Education in Schools, 2017
In order to be well-educated citizens in the 21st century, children need to learn computing in school. However, implementing computing education in schools faces several practical problems, such as a lack of computing teachers and time in an already overloaded curriculum. A solution may be a multidisciplinary approach, integrating computing…
Descriptors: Computer Science Education, Computation, Thinking Skills, Interdisciplinary Approach
von Wangenheim, Christiane Gresse; Alves, Nathalia Cruz; Rodrigues, Pedro Eurico; Hauck, Jean Carlo – Online Submission, 2017
In order to be well-educated citizens in the 21st century, children need to learn computing in school. However, implementing computing education in schools faces several practical problems, such as lack of computing teachers and time in an already overloaded curriculum. A solution can be a multidisciplinary approach, integrating computing…
Descriptors: Computer Science Education, Interdisciplinary Approach, Social Studies, Programming
Basawapatna, Ashok Ram – ProQuest LLC, 2012
Computational thinking aims to outline fundamental skills from computer science that everyone should learn. As currently defined, with help from the National Science Foundation (NSF), these skills include problem formulation, logically organizing data, automating solutions through algorithmic thinking, and representing data through abstraction.…
Descriptors: Computer Science Education, Computation, Thinking Skills, Logical Thinking
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