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Lustick, Hilary – International Journal of Qualitative Studies in Education (QSE), 2021
Qualitative training rarely acknowledges the role of emotions in both data collection and analysis. While bracketing emotions is an important part of reflexivity, emotions are both a source of data and a source of 'work' (Hochschild, 1983). Accordingly, mentoring junior qualitative scholars also requires emotion work. Issues of race, gender, and…
Descriptors: Qualitative Research, Psychological Patterns, Data, Coding
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Eutsler, Lauren – TechTrends: Linking Research and Practice to Improve Learning, 2021
To reduce the lag between highly visual texts in elementary classrooms and a lack of emphasis on visual literacy in teacher preparation, this study explored preservice teachers' coding in the design of a visually-enhanced digital book. A qualitative case study shaped the research design and data collection, including ten digital book artifacts and…
Descriptors: Visual Literacy, Preservice Teacher Education, Elementary Education, Preservice Teachers
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Luce, Thom – Information Systems Education Journal, 2021
This paper describes changes, precipitated by the COVID-19 pandemic, to a capstone MIS class using Microsoft ASP.NET MVC for team development with live-clients. The advent of the pandemic required that the entire development effort of the class immediately transition from a largely in-class development effort with local SQL Server and Web Server…
Descriptors: Computer Science Education, Educational Change, COVID-19, Pandemics
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Edwards, Susan – Learning, Media and Technology, 2021
Digital play is a pedagogical construct used in early childhood to explain young children's engagement with technologies. Digital play draws upon theories of play to explain young children's learning with technologies. This paper proposes the further development of digital play by examining how the digital aspect of digital play may also be…
Descriptors: Young Children, Play, Early Childhood Education, Computer Oriented Programs
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Welch, Lise E.; Shumway, Jessica F.; Clarke-Midura, Jody; Lee, Victor R. – Australian Primary Mathematics Classroom, 2021
Robot toys can be used to promote STEM subjects, particularly coding and mathematics. The lesson described in this article illustrates how a robot toy was used with a number line to explore equality and missing addends in Year 1. The lesson progression models how activities can be sequenced to build on developing understandings while supporting…
Descriptors: Robotics, Toys, Coding, STEM Education
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Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
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Hebda, Maryann R. – Gifted Child Today, 2023
As technologically gifted students apply their abilities to computer science, they naturally flow through the talent development stages of potential, competency, and expertise. Processes that have always been important for gifted students to learn as they develop potential are embedded in learning code, which engages the beginning programmer in…
Descriptors: Talent Development, Technology Uses in Education, Technological Literacy, Coding
Samim Mirhosseini – ProQuest LLC, 2023
Computer science instructors typically have many responsibilities, such as creating material, delivering lectures, clarifying student questions, and grading student deliverables, while the demand for computer science education has been increasing. Handling all of these responsibilities is challenging in itself. However, it is made worse when…
Descriptors: Computer Science Education, Teacher Responsibility, Faculty Workload, Instructional Materials
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Maertens, Rien; Van Petegem, Charlotte; Strijbol, Niko; Baeyens, Toon; Jacobs, Arne Carla; Dawyndt, Peter; Mesuere, Bart – Journal of Computer Assisted Learning, 2022
Background: Learning to code is increasingly embedded in secondary and higher education curricula, where solving programming exercises plays an important role in the learning process and in formative and summative assessment. Unfortunately, students admit that copying code from each other is a common practice and teachers indicate they rarely use…
Descriptors: Plagiarism, Benchmarking, Coding, Computer Science Education
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Webb, Kevin C.; Zingaro, Daniel; Liao, Soohyun Nam; Taylor, Cynthia; Lee, Cynthia; Clancy, Michael; Porter, Leo – ACM Transactions on Computing Education, 2022
A Concept Inventory (CI) is an assessment to measure student conceptual understanding of a particular topic. This article presents the results of a CI for basic data structures (BDSI) that has been previously shown to have strong evidence for validity. The goal of this work is to help researchers or instructors who administer the BDSI in their own…
Descriptors: Measures (Individuals), Concept Formation, Computer Science Education, Test Results
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Somuncu, Büsra; Aslan, Durmus – Education and Information Technologies, 2022
The present study was conducted to investigate the effect of coding activities on children's mathematical reasoning skills. In the study, the pre-test - post-test control group quasi-experimental design was used. The participants of the study consisted of 29 children (17 in experiment group and 12 in control group) aged between 57-68 months…
Descriptors: Coding, Programming, Mathematics Skills, Thinking Skills
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Mamolo, Ami; Tepylo, Diane; Ruttenberg-Rozen, Robyn; Rodney, Sheree – Canadian Journal of Science, Mathematics and Technology Education, 2022
The integration of coding in K-12 mathematics education is occurring throughout jurisdictions around the world. Best practices for applying coding practices in teaching mathematics are gaining research attention, and teacher education programmes are increasingly offering professional development to support this initiative. This paper discusses…
Descriptors: Mathematics Instruction, Coding, Interdisciplinary Approach, Mathematics Education
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Fergusson, Anna; Pfannkuch, Maxine – Mathematical Thinking and Learning: An International Journal, 2022
The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms…
Descriptors: Foreign Countries, Data Science, Statistics Education, Mathematical Models
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Robins, Anthony V. – ACM Transactions on Computing Education, 2022
This paper explores a major theoretical framework from psychology, Dual Process Theory (DPT), which has received surprisingly little attention in the computing education literature. DPT postulates the existence of two qualitatively different kinds of cognitive systems, a fast, intuitive "System 1" and a slow, reflective "System…
Descriptors: Learning Theories, Cognitive Processes, Intelligence, Long Term Memory
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Paoletti, Teo; Lee, Hwa Young; Rahman, Zareen; Vishnubhotla, Madhavi; Basu, Debasmita – International Journal of Mathematical Education in Science and Technology, 2022
In this study, we examined graphical representations in several mathematics, science, and engineering textbooks and practitioner journals with the goal of identifying similarities and differences across these sources. To do this, we drew from the extant research on students interpreting graphs and reasoning covariationally to develop a framework…
Descriptors: Mathematics Education, Science Education, Engineering Education, Textbooks
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