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Nitesh Kumar Jha; Plaban Kumar Bhowmik; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
A majority of research in Computational Thinking (CT) mainly focuses on teaching coding to school students. However, CT involves more than just coding and includes other skills like algorithmic thinking. The current study developed an Online Inquiry-based Learning Platform for Computational Thinking (CT-ONLINQ) that follows Inquiry-Based Learning…
Descriptors: Thinking Skills, Computer Science Education, Comparative Analysis, Problem Solving
Sauder, Adrienne E.; Gilson, Cindy M. – Gifted Child Quarterly, 2023
There is a growing body of literature around digital research, specifically regarding data collection and how to pivot research designs to be more conducive to online and virtual research, but little in the way of how to analyze data remotely. In this article, we share firsthand experiences from a qualitative study utilizing Google apps, Zoom, and…
Descriptors: Academically Gifted, Gifted Education, Qualitative Research, Data Collection
Jeff Bender – ProQuest LLC, 2023
At an unrivaled and enduring pace, computing has transformed the world, resulting in demand for a universal fourth foundation beyond reading, writing, and arithmetic: computational thinking (CT). Despite increasingly widespread acceptance of CT as a crucial competency for all, transforming education systems accordingly has proven complex. The…
Descriptors: Addictive Behavior, Game Based Learning, Evaluation Methods, Computation
Ian Patrick Heraty – ProQuest LLC, 2023
This dissertation was a comparative study of computer science in secondary schools in both Ireland and the United States. Computer science was a new subject compared to more established subjects in both Ireland and the United States. This dissertation looked at how this subject could be accessed by students in both countries. I used a document…
Descriptors: Computer Science Education, Comparative Education, High School Students, Foreign Countries
Sagun Giri – ProQuest LLC, 2023
Past efforts to teach novices programming through pair programming and project-based learning utilizing different low floors, high ceilings and wide walls platforms have been successful. Building from related work, this study investigates the effectiveness of Productive Failure (PF) pedagogical design in supporting youth and novices when learning…
Descriptors: Coding, Youth, Computation, Thinking Skills
Atsushi Miyaoka; Lauren Decker-Woodrow; Nancy Hartman; Barbara Booker; Erin Ottmar – Grantee Submission, 2023
More than ever in the past, researchers have access to broad, educationally relevant text data from sources such as literature databases (e.g., ERIC), an open-ended response from online courses/surveys, online discussion forums, digital essays, and social media. These advances in data availability can dramatically increase the possibilities for…
Descriptors: Coding, Models, Qualitative Research, Focus Groups
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Krish Pillai; Marcia Lovas – International Society for Technology, Education, and Science, 2023
A typical first computer science course (CS1) introduces the student to coding conventions, variables, methods, control structures, conditionals, and the semantics of classes and objects. Advanced concepts of inheritance, polymorphism, abstract classes, interfaces, and their use in the design process, are covered in a second-level course (CS2).…
Descriptors: Computer Games, Educational Games, Teaching Methods, Technology Uses in Education
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James, Fiona – Educational Philosophy and Theory, 2018
This article provides a critical exposition of the epistemological underpinnings of a recent redevelopment of Grounded Theory (GT) methodology, "Constructivist" GT. Although proffered as freed from the "objectivist" tenets of the original version, critical examination exposes the essentialism threaded through its integral…
Descriptors: Grounded Theory, Epistemology, Constructivism (Learning), Philosophy
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Lohmann, Julian F.; Zitzmann, Steffen; Voelkle, Manuel C.; Hecht, Martin – Large-scale Assessments in Education, 2022
One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present article, we argue that "continuous-time models" are well suited to study the continuously developing constructs of primary interest in the education…
Descriptors: Longitudinal Studies, Structural Equation Models, Time, Achievement Tests
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Kesler, Avital; Shamir-Inbal, Tamar; Blau, Ina – Journal of Educational Computing Research, 2022
The integration of visual programming in early formal education has been found to promote computational thinking of students. Teachers' intuitive perspectives about optimal learning processes -- "folk psychology" -- impact their perspectives about teaching "folk pedagogy" and play a significant role in integrating educational…
Descriptors: Programming, Coding, Constructivism (Learning), Intuition
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Wang, Lin; Shi, Donglin; Geng, Fengji; Hao, Xiaoxin; Chanjuan, Fu; Li, Yan – Journal of Educational Research, 2022
Coding learning involves cognitive control ability that enables children to coordinate behaviors according to internally maintained goals. However, such ability is still developing during early childhood and cannot reach maturity at least until late adolescence. This study aimed to test whether integrating cognitive control strategies into online…
Descriptors: Cognitive Ability, Cognitive Processes, Cognitive Development, Self Control
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Celepkolu, Mehmet; Galdo, Aisha Chung; Boyer, Kristy Elizabeth – IEEE Transactions on Learning Technologies, 2022
As children develop conversational skills such as taking turns and openly listening to ideas, they often experience conflicts and inequity within collaborative dialogue for learning. Previous research suggests that increasing children's awareness about their own behaviors during collaboration may help them adjust their behaviors and become better…
Descriptors: Teaching Methods, Classroom Communication, Cooperative Learning, Child Behavior
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Kaitlyn Storm; Jerry Zhang; Eileen Haase – Biomedical Engineering Education, 2022
Our first year biomedical engineering course exposes students to multiple engineering and design techniques within an overarching theme of understanding health inequity. Currently, the semester-long curriculum excludes computational methods such as Python programming and Machine Learning, which are usually not introduced until more advanced BME…
Descriptors: Artificial Intelligence, Programming Languages, Learning Modules, Introductory Courses
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Murtagh, Conall F.; Naughton, Robert J.; McRobert, Allistair P.; O'Boyle, Andrew; Morgans, Ryland; Drust, Barry; Erskine, Robert M. – Research Quarterly for Exercise and Sport, 2019
Purpose: The powerful activity profile of elite soccer match play has not been documented appropriately to inform specific maximal power assessment and development criteria. The aims of the current study were to develop a reliable soccer-specific powerful action (SSPA) notational analysis coding system that could be used to compare frequency and…
Descriptors: Athletics, Team Sports, Coding, Youth Programs
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Weiss, Charles J. – Journal of Chemical Education, 2021
Scientific computing and computer literacy are increasingly important skills for chemistry students to learn, but despite this need, there is an absence of chemistry-specific texts available for teaching the subject. This article introduces a freely available textbook released under a Creative Commons license for use in an undergraduate scientific…
Descriptors: Science Instruction, Chemistry, College Science, Undergraduate Study
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