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Showing 1 to 15 of 97 results Save | Export
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Paul Biberstein; Thomas Castleman; Luming Chen; Shriram Krishnamurthi – Informatics in Education, 2024
CODAP is a widely-used programming environment for secondary school data science. Its direct-manipulation-based design offers many advantages to learners, especially younger students. Unfortunately, these same advantages can become a liability when it comes to repeating operations consistently, replaying operations (for reproducibility), and also…
Descriptors: Data Science, Secondary School Students, Programming, Open Source Technology
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Dana Kube; Sebastian Gombert; Brigitte Suter; Joshua Weidlich; Karel Kreijns; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Gender stereotypes about women and men are prevalent in computer science (CS). The study's goal was to investigate the role of gender bias in computer-supported collaborative learning (CSCL) in a CS context by elaborating on gendered experiences in the perception of individual and team performance in mixed-gender teams in a hackathon.…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Gender Issues, Learning Activities
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Debora Lui; Deborah A. Fields; Yasmin B. Kafai – Cognition and Instruction, 2024
Debugging (or troubleshooting) provides a rich context to foster problem-solving. Yet, while we know much about some problems and strategies that novices face in programming on-screen, we know far less about debugging and troubleshooting in the context of physical computing, where coding issues may overlap with materially embedded problems. In…
Descriptors: Grade 9, STEM Education, Troubleshooting, Public Schools
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Muhammed Murat Gümüs; Volkan Kukul; Özgen Korkmaz – Informatics in Education, 2024
This study aims to explain the relationships between secondary school students' digital literacy, computer programming self-efficacy and computational thinking self-efficacy. The study group consists of 204 secondary school students. A relational survey model was used in the research method and three different data collection tools were used to…
Descriptors: Correlation, Middle School Students, Thinking Skills, Digital Literacy
Sirazum Munira Tisha – ProQuest LLC, 2023
Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the…
Descriptors: Computer Software, Grading, Programming, Assignments
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Václav Dobiáš; Václav Šimandl; Jirí Vanícek – Informatics in Education, 2024
The paper discusses an alternative method of assessing the difficulty of pupils' programming tasks to determine their age appropriateness. Building a program takes the form of its successive iterations. Thus, it is possible to monitor the number of times such a program was built by the solver. The variance of the number of program builds can be…
Descriptors: Difficulty Level, Computer Science Education, Programming, Task Analysis
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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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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
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Charito G. Ong; Josan C. Fermano; Albert Christopher P. Daniot II – International Association for Development of the Information Society, 2022
This study reports an impact assessment of the basic Arduino programming training conducted among select Junior High School Students in a National High School in Cagayan De Oro City. The Focus Group Discussion sessions and survey questionnaires via goggle form complemented the content of the impact study table. The researchers aimed to determine…
Descriptors: Computer Software, Programming, Computer Science Education, Junior High School Students
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Kristina Litherland; Anders Kluge – Computer Science Education, 2024
Background and Context: We explore the potential for understanding the processes involved in students' programming based on studying their behaviour and dialogue with each other and "conversations" with their programs. Objective: Our aim is to explore how a perspective of inquiry can be used as a point of departure for insights into how…
Descriptors: Programming, Programming Languages, Secondary School Students, Computer Science Education
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Yuwamon Prasretsung; Naruemon Thepnuan; Duangkamol Kaewdaeng – Turkish Online Journal of Educational Technology - TOJET, 2024
The objectives of this research were to: 1) develop online lessons with the Google Classroom application on computer system operation for secondary 2 (Grade 8) students; 2) study pre-test and post-test academic achievement; and 3) study the students' satisfaction with the online lessons with the Google Classroom application on computer system…
Descriptors: Computer Software, Electronic Learning, Computers, Curriculum Development
Colorado Department of Higher Education, 2024
Senate Bill 22-192, titled Opportunities for Credential Attainment called on the Colorado Department of Higher Education (CDHE) to work collaboratively with other state agencies, institutions of higher education (IHEs), employers and other stakeholders to build 10 stackable credential pathways across five high-value, high-demand industries between…
Descriptors: Career Pathways, Education Work Relationship, Health Services, Computer Software
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W. Brian Lane; Terrie M. Galanti; X. L. Rozas – Journal for STEM Education Research, 2023
Integrating computational thinking (CT) into STEM disciplines requires secondary teachers to develop their pedagogical content knowledge of computing and content integration. Experienced teachers who choose to integrate CT in their secondary STEM courses may struggle in the same ways as novice teachers as they learn about programming and its…
Descriptors: Physics, Teaching Methods, Grounded Theory, Capacity Building
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Felienne Hermans – Informatics in Education, 2024
This autoethnographic paper is part of a special issue trying to answer the question "How to design or choose languages for programming novices?" I will describe how my programming language Hedy was created, how the initial design goals were formed, how my perspectives on learning and teaching changed along the way, and how Hedy changed…
Descriptors: Decision Making, Programming Languages, Novices, Computer Science Education
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Zhadyra Akhatayeva; Kakim Sagindykov; Bazarbek Mukushev; Nurgul Kurmangaliyeva; Ardak Karipzhanova – Education and Information Technologies, 2024
The goal of the study is to create Visual Basic and MATHCAD apps to create programs that show the core force using physical forces as an example. The research subjects are high school teachers and students; the inherent context is high school STEM courses. Programs for computer visualization have been developed, and theoretical investigations have…
Descriptors: High School Teachers, High School Students, STEM Education, Computer Uses in Education
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