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Fabiano Fruett; Fernanda Pereira Barbosa; Samuel Cardoso Zampolli Fraga; Pedro Ivo Aragao Guimaraes – IEEE Transactions on Education, 2024
Open-source hardware and software platforms have played an important role in democratizing access to technology and education in computer science and engineering. Recent advancements in tools, such as KiCad, MicroPython, and Thonny, integrated development environment potentially accelerate low-budget educational applications, providing a smooth…
Descriptors: Open Source Technology, STEM Education, Art Education, Artificial Intelligence
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Pitágoras Pinheiro de Carvalho; Afonso Norberto da Silva; Maria da Cruz Vieira da Silva; William Fernando da Silva Rodrigues – Discover Education, 2024
This work was developed to present constructive steps of multiple integrals using the open-source software Geogebra. The main focus was directed towards creating three-dimensional graphs of integrals through Riemann sums in two variables. Some practical examples are developed to demonstrate the reliability of the presented results, which are…
Descriptors: Mathematics Instruction, Open Source Technology, Computer Software, Graphs
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Pereira, Juanan; Diaz, Oscar – IEEE Transactions on Education, 2022
Contribution: Instructors are leveraging open-source software (OSS) as a way to experience authentic examples of software problems with their students. Recommender engines might assist students in selecting the right project based on metrics mined from project repositories (e.g., GitHub). This vision is realized through GitMate, a GitHub-based…
Descriptors: Computer Software, Open Source Technology, Student Projects, Selection
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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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C. J. Van Lissa; M. Garnier-Villarreal; D. Anadria – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance with respect to decisions that must be made when conducting and reporting LCA. Moreover, there…
Descriptors: Multivariate Analysis, Structural Equation Models, Open Source Technology, Computation
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Stewart, Molly S.; Pier, Elizabeth; Ralyea, Dan; Rice, Andrew – Learning, Media and Technology, 2023
This paper examines the concept of open-source data interoperability in the United States' K-12 education domain, specifically addressing the implications of interoperability for data justice. The term 'data justice' is a relatively recent coinage; the framing and meaning of this term are still evolving, and it has not yet been applied in the…
Descriptors: Data, Standards, Information Management, Access to Information
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Mirazchiyski, Plamen V. – Large-scale Assessments in Education, 2021
This paper presents the R Analyzer for Large-Scale Assessments (RALSA), a newly developed R package for analyzing data from studies using complex sampling and assessment designs. Such studies are, for example, the IEA's Trends in International Mathematics and Science Study and the OECD's Programme for International Student Assessment. The package…
Descriptors: Measurement, Data Analysis, Open Source Technology, Computer Software
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Teresa Margarida Loureiro Cardoso; João Paulo Pinto; Filomena Pestana – Educational Media International, 2024
This text addresses the importance of scientific collaboration networks in the context of open science, presenting the experience achieved within the International Academic Network WEIWER®. From this particular case, it will be possible to show that scientific entrepreneurship initiatives, based on collaborative research, are an effective way to…
Descriptors: Scientific Research, International Cooperation, Access to Information, Open Source Technology
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Xavier Ochoa; Heru Zhao – Journal of Learning Analytics, 2024
Providing automated feedback that facilitates the practice and acquisition of oral presentation skills has been one of the notable applications of multimodal learning analytics (MmLA). However, the closedness and general unavailability of existing systems have reduced their potential impact and benefits. This work introduces OpenOPAF, an…
Descriptors: Open Source Technology, Multimedia Materials, Automation, Feedback (Response)
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Morreale, Fabio – Teachers and Curriculum, 2022
In the creative sector, "music technology" refers to a wide range of musical practices, tools and devices enabled or facilitated by computers. Yet the music technology curriculum in New Zealand, as in other parts of the world, is dominated by two specific tools: commercial Digital Audio Workstations (DAWs) and notation software. In this…
Descriptors: Educational Change, Music Education, Educational Technology, Foreign Countries
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Jonathan E. Westfall; Evan M. Hill – Teaching of Psychology, 2024
Introduction: Recruiting undergraduate students to participate in research has long been an established practice within psychology. Although this data source has weaknesses, this involvement in the research process has considerable pedagogical value in teaching students research methodology. Statement of the Problem: Most common software packages…
Descriptors: Computer Software, Researchers, Recruitment, Research Administration
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Prasoon Patidar; Tricia J. Ngoon; Neeharika Vogety; Nikhil Behari; Chris Harrison; John Zimmerman; Amy Ogan; Yuvraj Agarwal – Journal of Learning Analytics, 2024
Classroom sensing systems can capture data on teacher-student behaviours and interactions at a scale far greater than human observers can. These data, translated to multi-modal analytics, can provide meaningful insights to educational stakeholders. However, complex data can be difficult to make sense of. In addition, analyses done on these data…
Descriptors: Learning Analytics, Classroom Observation Techniques, Data Analysis, Student Behavior
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Aisha Alsfouk – Journal of Chemical Education, 2023
Fourth- and fifth-year pharmacy students attending integrated pharmacotherapy courses at Princess Nourah bint Abdulrahman University completed a medicinal chemistry assignment using computer-based technology. This written assignment encompassed multiple components requiring the use of free online resources to study and illustrate several stages of…
Descriptors: Undergraduate Students, Pharmaceutical Education, Medicine, Chemistry
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Hutt, Stephen; Das, Sanchari; Baker, Ryan S. – International Educational Data Mining Society, 2023
The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…
Descriptors: Data Analysis, Decision Making, Data Collection, Foreign Countries
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Nicolas Van Vlasselaer; Benyameen Keelson; Aldo Scafoglieri; Erik Cattrysse – Anatomical Sciences Education, 2024
In anatomical research and education, three-dimensional visualization of anatomical structures is crucial for understanding spatial relationships in diagnostics, surgical planning, and teaching. While computed tomography (CT) and magnetic resonance imaging (MRI) offer valuable insights, they are often expensive and require specialized resources.…
Descriptors: Anatomy, Scientific Research, Science Instruction, Visual Aids
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