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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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Emine Turhal; Oktay Bektas – International Journal of Education in Mathematics, Science and Technology, 2025
This research will analyze the issues encountered by two science teachers implementing Arduino-based robotic coding projects. This research employed a case study design. This research has used a criterion sampling group. This study used semi-structured observation, interviews, and video observations as data collection tools. The teachers conducted…
Descriptors: Science Teachers, Teacher Attitudes, Science Instruction, Robotics
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John Nesbit; Qing Liu; Joan Sharp; Diana Cukierman; Holly Hendrigan; Daniel Chang; Bahareh Shahabi; Qingyan Deng; Azar Pakdaman Savoji – Journal of Interactive Learning Research, 2024
The Dialectical Map (DMap) is an open-source, web-based argument visualization tool developed and used at a Canadian University to scaffold argument construction. To illustrate the ways that argument mapping can be used in undergraduate courses, this article presents five cases selected from courses in biology, psychology, computing science, and…
Descriptors: Foreign Countries, Undergraduate Students, Open Source Technology, Persuasive Discourse
Connor David Nelson – ProQuest LLC, 2024
This dissertation introduces a comprehensive framework aimed at reshaping applied cybersecurity education to significantly ease the learning curve, at scale, through three synergistic innovations. These methods address the daunting educational barriers in cybersecurity, enabling learners at all levels to understand complex security concepts more…
Descriptors: Computer Security, Information Security, Computer Science Education, Models
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Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
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Milan Turcáni; Zoltan Balogh; Michal Kohútek – Smart Learning Environments, 2024
In this research, a mixed-method approach was employed to conduct large-scale eye-tracking measurements, traditionally associated with high costs and extensive time commitments. Utilizing consumer-grade webcams in conjunction with open-source software, data was collected from an expansive cohort of students, thereby demonstrating the scalability…
Descriptors: Computer Science Education, Eye Movements, Reading Comprehension, Knowledge Level
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Arjan J. F. Kok; Lex Bijlsma; Cornelis Huizing; Ruurd Kuiper; Harrie Passier – Informatics in Education, 2024
This paper presents the first experiences of the use of an online open-source repository with programming exercises. The repository is independent of any specific teaching approach. Students can search for and select an exercise that trains the programming concepts that they want to train and that only uses the programming concepts they already…
Descriptors: Programming Languages, Computer Science Education, Open Source Technology, Teaching Methods
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Hollister, Brad; Leon, Juan – International Journal on E-Learning, 2022
An introductory survey course in software engineering is now required at many accredited undergraduate institutions in the United States. The usual presentation of material consists of student projects that showcase design, development, and testing methodologies. While this approach does provide a foundation, students are left without professional…
Descriptors: Open Source Technology, Engineering Education, Computer Software, Undergraduate Students
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Zhu, Meina; Kadirova, Dilnoza – Open Learning, 2022
Given the rapid rise of open educational resources (OER) for informal learning pursuits impacting countless millions of people each day around the world, this study investigated the impact of the initiative that spearheaded this movement; namely, Massachusetts Institute of Technology (MIT) open courseware (OCW). More specifically, it explored…
Descriptors: Independent Study, Student Attitudes, Learning Experience, Computer Science Education
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Sagrans, Jacob; Mokros, Janice; Voyer, Christine; Harvey, Meggie – Science Teacher, 2022
The use of large, open-source data sets is ubiquitous in scientific research. Scientists--ranging from meteorologists to chemists to epidemiologists--are researching and investigating critical questions using data that they have not themselves collected. To contribute to the growing effort to bring data science into classrooms, the authors have…
Descriptors: Data Analysis, Science Instruction, High School Teachers, Science Teachers
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Savonen, Candace; Wright, Carrie; Hoffman, Ava M.; Muschelli, John; Cox, Katherine; Tan, Frederick J.; Leek, Jeffrey T. – Journal of Statistics and Data Science Education, 2023
Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time…
Descriptors: Open Source Technology, Multiple Choice Tests, Summative Evaluation, Formative Evaluation
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Maruyama, Ryoga; Ogata, Shinpei; Kayama, Mizue; Tachi, Nobuyuki; Nagai, Takashi; Taguchi, Naomi – International Association for Development of the Information Society, 2022
This study aims to explore an educational learning environment that supports students to learn conceptual modelling with the unified modelling language (UML). In this study, we call the describing models "UML programming." In this paper, we show an educational UML programming environment for science, technology, engineering, art, and…
Descriptors: Case Studies, Programming Languages, Learning Processes, Models