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Stoudt, Sara – Journal of Statistics and Data Science Education, 2022
To paraphrase John Tukey, the beauty of working with data is that you get to "play in everyone's backyard." A corollary to this statement is that working with data necessitates collaboration. Although students often learn technical workflows to wrangle and analyze data, these workflows may break down or require adjustment to accommodate…
Descriptors: Collaborative Writing, Communication Skills, Writing Strategies, Writing Processes
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Samantha Fu; Charles Davis; Jesse Rothstein; Aparna Ramesh; Evan White – Grantee Submission, 2022
Linking data together can be a powerful way for governments and researchers alike to tackle vexing public policy research problems. However, for researchers, finding ways to link data directly between two departments can often be more challenging than even obtaining the data in the first place. Even when a researcher develops the necessary…
Descriptors: Data Use, Research Methodology, Researchers, Privacy
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Monika Kamola; Francesca Granone; Kristin Grøsvik; Elin Reikerås – European Early Childhood Education Research Journal, 2024
Recent studies have shown that playing with coding toys enhances children's skills in STEM-subjects, especially problem-solving abilities. However, there is limited knowledge of early childhood education and care (ECEC) teachers' roles in facilitating children's problem-solving through coding-toy play activities and the high-quality pedagogical…
Descriptors: Foreign Countries, Coding, Toys, Problem Solving
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Robert J. Mills; Emily R. Fyfe; Tanya Beaulieu; Maddy Mills – Instructional Science: An International Journal of the Learning Sciences, 2024
Teachers form expectations that can influence their students' performance, and there are a variety of ways these expectations can be communicated. In the current study, we tested a novel method for communicating expectations via examples of student work--examples that contain basic, entry-level work and communicate low, but manageable expectations…
Descriptors: Teacher Expectations of Students, Academic Achievement, Teaching Methods, Communication (Thought Transfer)
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Meryem Meral; Sema Altun Yalçin; Zehra Çakir; Esila Samur – Journal of Theoretical Educational Science, 2024
The aim in this study was to determine the effectiveness of STEM-based robotic coding education for primary school students in terms of their decision-making skills. Mixed method research was conducted. Pretest-posttest control group designs were used in the quantitative phase, and a case study was performed in the qualitative phase of the…
Descriptors: STEM Education, Robotics, Coding, Elementary School Students
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Hanli Geyser – ACM Transactions on Computing Education, 2024
Like digital technologies themselves, programming education is embedded in the colonial matrix of power, and access to programming knowledge demands immersion in the epistemologies of the Global North. While there is a growing body of work exploring ways to decolonise programming education, far more needs to be done. Current research focuses on…
Descriptors: Computer Science Education, Decolonization, Programming, Power Structure
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Jean Salac; Lena Armstrong; F. Megumi Kivuva; Jayne Everson; Amy J. Ko – ACM Transactions on Computing Education, 2025
Background and Context: With the growing movement to adopt critical framings of computing, scholars have worked to reframe computing education from the narrow development of programming skills to skills in identifying and resisting oppressive structures in computing. However, we have little guidance on how these framings may manifest in classroom…
Descriptors: Critical Theory, Computer Science Education, Summer Programs, Secondary School Students
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Belur, Jyoti; Tompson, Lisa; Thornton, Amy; Simon, Miranda – Sociological Methods & Research, 2021
A methodologically sound systematic review is characterized by transparency, replicability, and a clear inclusion criterion. However, little attention has been paid to reporting the details of interrater reliability (IRR) when multiple coders are used to make decisions at various points in the screening and data extraction stages of a study. Prior…
Descriptors: Interrater Reliability, Decision Making, Accuracy, Coding
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Solano-Flores, Guillermo – Educational Measurement: Issues and Practice, 2021
This article proposes a Boolean approach to representing and analyzing interobserver agreement in dichotomous coding. Building on the notion that observations are samples of a universe of observations, it submits that coding can be viewed as a process in which observers sample pieces of evidence on constructs. It distinguishes between formal and…
Descriptors: Online Searching, Coding, Interrater Reliability, Evidence
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Weissgerber, Sophia C.; Brunmair, Matthias; Rummer, Ralf – Educational Psychology Review, 2021
In the 2018 meta-analysis of "Educational Psychology Review" entitled "Null effects of perceptual disfluency on learning outcomes in a text-based educational context" by Xie, Zhou, and Liu, we identify some errors and inconsistencies in both the methodological approach and the reported results regarding coding and effect sizes.…
Descriptors: Meta Analysis, Research Problems, Research Methodology, Coding
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Vanaken, Lauranne; Vanderveren, Elien; Waters, Theodore E. A.; Bijttebier, Patricia; Fivush, Robyn; Hermans, Dirk – Applied Cognitive Psychology, 2021
The coherence of autobiographical narratives is suggested to be reflective of individuals' mental health. However, inconsistencies in results are regularly observed. Therefore, in this study, the Narrative Coherence Coding Scheme (NaCCS) by Reese et al. ("Journal of Cognition and Development," 12, 424-462) was deconstructed and every…
Descriptors: Autobiographies, Personal Narratives, Mental Health, Rhetoric
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Shi, Yang; Mao, Ye; Barnes, Tiffany; Chi, Min; Price, Thomas W. – International Educational Data Mining Society, 2021
Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…
Descriptors: Artificial Intelligence, Program Effectiveness, Coding, Computer Science Education
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Türel, Vehbi – Journal of Learning and Teaching in Digital Age, 2023
In this study, 56 participants' (N=56) perceptions towards dual coding in design of audio-only listening texts (i.e. re-provision of the same audio-only listening texts in the form of audio-only listening texts + keywords or supplementary contextual visuals + keywords at non-initial phases of the while listening stage) in a hypermedia listening…
Descriptors: Hypermedia, Coding, Listening, Listening Comprehension
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Major, Louis; Smørdal, Ole; Warwick, Paul; Rasmussen, Ingvill; Cook, Victoria; Vrikki, Maria – International Journal of Research & Method in Education, 2023
Analysing the interaction between classroom dialogue and digital technology is challenging. Studies in this area typically draw on methods developed for the analysis of spoken interactions. This article reports on a new approach for analysing the enacted affordances of digital technology in classroom dialogue. Using examples from cross-country…
Descriptors: Classroom Communication, Educational Technology, Interaction, Affordances
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Collins, Jazmin; Ford, Vitaly – Journal of Cybersecurity Education, Research and Practice, 2023
The use of the Capture the Flag (CTF)-style competitions has grown popular in a variety of environments as a method to improve or reinforce cybersecurity techniques. However, while these competitions have shown promise in student engagement, enjoyment, and the teaching of essential workforce cybersecurity concepts, many of these CTF challenges…
Descriptors: Computer Security, Computer Science Education, Coding, Competition
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