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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
Rick A. Hudson; Gemma F. Mojica; Hollylynne S. Lee; Stephanie Casey – Computers in the Schools, 2025
Innovative dynamic data tools afford opportunities for K-12 students and teachers to explore multivariate data and create linked data representations. These tools also support engagement in data moves, which are transnumerative actions to process, organize, and visualize data. The current study sought to understand how prospective K-12 mathematics…
Descriptors: Statistics Education, Visualization, Data Science, Preservice Teachers
Kenneth Y. T. Lim; Longkai Wu; Sujin He – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022
The recent phenomenon of maker culture has garnered the interest of educators as arguments have been advanced for the foregrounding of making in learning. Making in learning is an example of how participatory cultures of learning focus on authentic contexts outside of the formal spatial and temporal bounds of schooling. This chapter describes how…
Descriptors: Foreign Countries, Junior High School Students, Shared Resources and Services, Open Source Technology
Peer reviewedDevika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
Katherine L. McNeill; Renee Affolter – Learning Professional, 2024
Curriculum-based professional learning is not just having teachers read curriculum materials, but rather includes carefully crafted experiences to support their sensemaking, deep understanding of the curriculum and its pedagogy, and ability to transfer that knowledge into practice. This instructional model requires that teachers be responsive to…
Descriptors: Expertise, Educational Quality, Faculty Development, Curriculum Implementation
Carla Morais; Jose´ L. Arau´jo – Journal of Chemical Education, 2023
In the laboratory, data acquisition systems are important, as they allow us to easily and precisely collect data. In this sense, Arduino emerges as an automatic data acquisition device with great potential, due to its low cost and high versatility. In this work, we describe the development of an experimental apparatus, with automatic data…
Descriptors: Chemistry, Science Instruction, Preservice Teachers, Science Teachers
Victoria Ly – ProQuest LLC, 2024
This dissertation explores the utilization of internet-connected devices to address the accessibility challenges associated with microscopy in the field of biology. Traditional microscopy devices are often costly, limiting their widespread adoption in laboratories. To overcome this barrier, we developed a cost-effective multi-well imaging device…
Descriptors: Open Source Technology, Biology, Science Instruction, Illustrations
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
Montaner-Villalba, Salvador – Research-publishing.net, 2022
Following up on Montaner-Villalba et al. (2020), this research focuses on written competence in the English language. The huge advance in technology permits teachers to use mobile applications. This quantitative design research investigated WordPress, in its mobile version, on written competence in English as a Foreign Language (EFL). One…
Descriptors: Writing Skills, Writing (Composition), Telecommunications, Handheld Devices
Manna, Martina – International Journal of Mobile and Blended Learning, 2023
As an emergent technology augmented reality (AR) demonstrated a plethora of advantages in foreign language education, promoting motivation, memorization of contents as well as contextualized learning. However, the majority of teachers are unfamiliar with AR, and their role as designers and facilitators requires further investigation. Moreover,…
Descriptors: Italian, Second Language Learning, Second Language Instruction, Open Source Technology
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

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