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W. Monty Jones; Katherine Hansen; Douglas Lusa Krug; Michael L. Schad; Nakisha Whittington; Xun Liu – Computer Science Education, 2025
Background and Context: Efforts to engage adult learners in computer science in the United States have been largely unsuccessful. While research examining the use of music for teaching computer programming with K-12 learners is emerging, little research with adult learners exists. Objective: This study evaluates the effect of computer coding…
Descriptors: Musical Composition, Computer Software, Adult Students, Student Attitudes
Michael Borcherds; Florian Derflinger; Zoltán Kovács; Ben North – International Journal of Mathematical Education in Science and Technology, 2025
We introduce the free web-app PyGgb -- the combination of the well-known programming language Python and the dynamic mathematics system GeoGebra. Motivated by the desire to provide an introduction to Python coding in the familiar context of mathematics and geometry, PyGgb allows GeoGebra constructions to be created using Python code. We outline…
Descriptors: Programming, Mathematics Education, Coding, Geometry
Karen Murcia; Emma Cross; Geoffrey Lowe – Australian Educational Researcher, 2025
The importance of incorporating digital technologies into early childhood education is now widely accepted to help position children as creative producers and not just consumers of technology. Early childhood educators in turn have a key role to play in developing technology-related skills and competencies such as coding and computational thinking…
Descriptors: Young Children, Computation, Thinking Skills, Play
Martina Blecic – Journal of Biological Education, 2024
In this paper I suggest a pragmatic model for the notion of 'information' used in molecular biology in the description of protein synthesis. Discarding any ontological commitments of the term 'information', I propose a view of information based on an analogy with communication. This view could at least supplement the existing information-metaphor…
Descriptors: Genetics, Molecular Biology, Figurative Language, Communication (Thought Transfer)
Rosanna Cole – Sociological Methods & Research, 2024
The use of inter-rater reliability (IRR) methods may provide an opportunity to improve the transparency and consistency of qualitative case study data analysis in terms of the rigor of how codes and constructs have been developed from the raw data. Few articles on qualitative research methods in the literature conduct IRR assessments or neglect to…
Descriptors: Interrater Reliability, Error of Measurement, Evaluation Methods, Research Methodology
Abdulrahman Alshammari – ProQuest LLC, 2024
A critical component of modern software development practices, particularly continuous integration (CI), is the halt of development activities in response to test failures which requires further investigation and debugging. As software changes, regression testing becomes vital to verify that new code does not affect existing functionality.…
Descriptors: Computer Software, Programming, Coding, Test Reliability
Hossein Kermani; Alireza Bayat Makou; Amirali Tafreshi; Amir Mohamad Ghodsi; Ali Atashzar; Ali Nojoumi – International Journal of Social Research Methodology, 2024
Despite the increasing adaption of automated text analysis in communication studies, its strengths and weaknesses in framing analysis are so far unknown. Fewer efforts have been made to automatic detection of networked frames. Drawing on the recent developments in this field, we harness a comparative exploration, using Latent Dirichlet Allocation…
Descriptors: COVID-19, Pandemics, Automation, Foreign Countries
Ari Krakowski; Eric Greenwald; Natalie Roman; Christina Morales; Suzanna Loper – Journal of Research in Science Teaching, 2024
The role of computation in science is ever-expanding and is enabling scientists to investigate complex phenomena in more powerful ways and tackle previously intractable problems. The growing role of computation has prompted calls to integrate computational thinking (CT) into science instruction in order to more authentically mirror contemporary…
Descriptors: Computation, Thinking Skills, Coding, Science Instruction
Cheung, Kason Ka Ching; Tai, Kevin W. H. – Research in Science & Technological Education, 2023
Background: Intercoder reliability is a statistic commonly reported by researchers to demonstrate the rigour of coding procedures during data analysis. Its importance is debatable in the analysis of qualitative interview data. It raises a question on whether researchers should identify the same codes and themes in a transcript or they should…
Descriptors: Interrater Reliability, Data Analysis, Interviews, Research Methodology
Seckin-Kapucu, Munise – Journal of Education in Science, Environment and Health, 2023
This study aims to examine the methodological trends and findings in studies on robotic coding in science education published between 2015-2022 comprehensively and holistically. For this purpose, the articles related to the subject were systematically reviewed. In addition, web of Science and SCOPUS databases were scanned for keywords related to…
Descriptors: Robotics, Coding, Programming, Research Methodology
Even Tzur, Ronen – Childhood Education, 2023
Coding must take its place among the fundamentals of education globally, along with literacy, numeracy, and the sciences. The purpose of teaching students to code isn't to turn them into the software developers of tomorrow -- though it's a wonderful avenue for doing so -- but rather to give them a basic life skill of creating with technology,…
Descriptors: Coding, Foundations of Education, Skill Development, Educational Benefits
Tuba Ketenci; Brendan Calandra; Jonathan Cohen; Maggie Renken; Nurjamal Chonoeva – Journal of Research on Technology in Education, 2023
The goal of this study was to examine how two groups of middle school students' self-efficacy, interest, goal orientation, and prior experience related to evidence of their building upon existing ideas and code in digital artifacts they created using MIT's App Inventor, a computational practice that Brennan and Resnick (2012) identified as…
Descriptors: Middle School Students, Coding, Computer Science Education, Self Efficacy
Claire Miller; Jenna Menke; AnnaMarie Conner – Journal for STEM Education Research, 2023
It is important to understand how students reason in K-12 integrated STEM settings to better prepare teachers to engage their students in integrated STEM tasks. To understand the reasoning that occurs in these settings, we used the lens of collective argumentation, specifically attending to the types of warrants elementary students and their…
Descriptors: Persuasive Discourse, STEM Education, Integrated Activities, Collectivism
Slavit, David; Lesseig, Kristin; Simpson, Amber – Journal of Pedagogical Research, 2022
The goal of this paper is to share an analytic framework for understanding Students? Ways of Thinking (SWoT) in STEM-rich learning environments. Before revealing our refined coding framework, we detail the nature of our collaborations and the various analytic decisions that led to its formation. These collaborations supported our collective…
Descriptors: Thinking Skills, STEM Education, Cognitive Processes, Models
A Deep Look into Designing a Task and Coding Scheme through the Lens of Causal Mechanistic Reasoning
Noyes, Keenan; Carlson, Clare G.; Stoltzfus, Jon R.; Schwarz, Christina V.; Long, Tammy M.; Cooper, Melanie M. – Journal of Chemical Education, 2022
The purpose of this paper is to share the iterative process we used to design a task that elicits causal mechanistic reasoning and how the subsequent student responses can be analyzed. Our goal in this task is to strike a balance between eliciting as much student knowledge as possible without providing so much structure that the answer becomes…
Descriptors: Chemistry, Logical Thinking, Task Analysis, Design

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