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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
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Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
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Ülker, Ezgi Deniz – Cypriot Journal of Educational Sciences, 2020
The ability of analysing and designing an algorithm is quite essential for computer science education. The students in the Analysis and Design of Algorithms (ADA) course are expected to be able to solve problems by choosing one of the proper design methods and to analyse the algorithm's performance in terms of various aspects. Instead of using…
Descriptors: Computer Science Education, Design, Mathematics, Programming
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Indriasari, Theresia Devi; Luxton-Reilly, Andrew; Denny, Paul – ACM Transactions on Computing Education, 2020
Peer review is the standard process within academia for maintaining publication quality, but it is also widely employed in other settings, such as education and industry, for improving work quality and for generating actionable feedback to content authors. For example, in the software industry peer review of program source code--or peer code…
Descriptors: Peer Evaluation, Programming, Higher Education, Computer Science Education
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Vandenberg, Jessica; Tsan, Jennifer; Boulden, Danielle; Zakaria, Zarifa; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – ACM Transactions on Computing Education, 2020
The language and concepts used by curriculum designers are not always interpreted by children as designers intended. This can be problematic when researchers use self-reported survey instruments in concert with curricula, which often rely on the implicit belief that students' understanding aligns with their own. We report on our refinement of a…
Descriptors: Elementary School Students, Knowledge Level, Computer Science, Student Attitudes
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Csapó, Gábor; Csernoch, Mária; Abari, Kálmán – Education and Information Technologies, 2020
In the modern, information driven society managing and handling data is unavoidable. The most common form of data handling is to organize data into tables and complete operations on them in spreadsheets. Sprego (Spreadsheet Lego) is a programming-oriented methodology focusing on schemata construction and authentic problem-solving working with only…
Descriptors: Instructional Effectiveness, Spreadsheets, Data Processing, Computer Software
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Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Ruiqi Shen – ProQuest LLC, 2021
With the large demand for technology workers all around the world, more people are learning programming. Studies show that human tutoring is the most effective way to learn for novice programmers. However, problems such as the inaccessibility to physical classes, prohibitive costs, and the lack of educators may limit students' opportunities to…
Descriptors: MOOCs, Online Systems, Interactive Video, Computer Assisted Instruction
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Kong, Siu-Cheung; Lai, Ming – British Journal of Educational Technology, 2022
The participatory view of learning emphasises students' identity construction. However, identity research in the context of programming education to cultivate students' computational thinking is scarce. In this study, an instrument of computational identity with components of engagement, imagination and affiliation, was developed and validated.…
Descriptors: Elementary School Students, Programming, Computation, Thinking Skills
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Ballard, Evan David; Haroldson, Rachelle – Journal of Educational Computing Research, 2022
As schools and districts across the United States adopt computer science standards and curriculum for K-12 computer science education, they look to integrate the foundational concepts of computational thinking (CT) into existing core subjects of elementary-age students. Research has shown the effectiveness of teaching CT elements (abstraction,…
Descriptors: Content Analysis, Computation, Thinking Skills, Childrens Literature
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Vincenti, Giovanni – Informatics in Education, 2022
Preparing students for the workforce is a balancing act that involves theory, practice, and assessment. As students navigate an educational experience that is, however, often distant from real-world needs, it is imperative that academia finds a novel way to bridge the gap. As many organizations utilize open challenges to attract ideas and talent,…
Descriptors: Undergraduate Students, Active Learning, Student Projects, Problem Solving
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Ubaidah, Ubaidah; Loeis, Minaldi – Journal of Educational Research and Practice, 2022
The objective of this research is to describe the implementation of project-based learning (PJBL) in improving computer programming competency in a higher education setting. The method applied in this study is action research with a one-cycle framework with four phases of development: (a) planning, (b) action, (c) observing, and (d) reflection…
Descriptors: Programming, Competence, Computer Science Education, College Freshmen
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Atiq, Zahra; Loui, Michael C. – ACM Transactions on Computing Education, 2022
In introductory computer programming courses, students experience a range of emotions. Students often experience anxiety and frustration when they encounter difficulties in writing programs. Continued frustration can discourage students from pursuing engineering and computing careers. Although prior research has shown how emotions affect students'…
Descriptors: Psychological Patterns, College Freshmen, Engineering Education, Programming
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Coto, Mayela; Mora, Sonia; Grass, Beatriz; Murillo-Morera, Juan – Computer Science Education, 2022
Background and context: Emotions are ubiquitous in academic settings and affect learning strategies, motivation to persevere, and academic outcomes, however they have not figured prominently in research on learning to program at the university level. Objective: To summarize the current knowledge available on the effect of emotions on students…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Emotional Response
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Çakiroglu, Ünal; Çevik, Isak – Education and Information Technologies, 2022
In order to teach Computational Thinking (CT) skills to young students, Block-Based Programming Environments (BBPEs) are integrated into secondary school computer science (CS) education curricula. As a CT skill, abstraction is one of the prominent skills, which is difficult to enhance and measure. Researchers developed some scales for measuring…
Descriptors: Computation, Thinking Skills, Computer Science Education, Programming
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