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Stamatios, Papadakis – International Journal of Educational Reform, 2024
Computational Thinking (CT) and the understanding of how programs are being executed is internationally acknowledging as a necessity for today's students and citizens of tomorrow. Despite the multifaceted nature of CT, the introduction of CT and associate concepts such as coding is regarded as developmental acceptable for preschool and…
Descriptors: Preschool Children, Computation, Thinking Skills, Programming
Noelle Brown; Benjamin Xie; Ella Sarder; Casey Fiesler; Eliane S. Wiese – ACM Transactions on Computing Education, 2024
The computing education research community now has at least 40 years of published research on teaching ethics in higher education. To examine the state of our field, we present a systematic literature review of papers in the "Association for Computing Machinery" computing education venues that describe teaching ethics in higher-education…
Descriptors: Ethics, Computer Science Education, Higher Education, Teaching Methods
Lukas Höper; Carsten Schulte – Informatics in Education, 2024
In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life…
Descriptors: Student Empowerment, Data Use, Computer Science Education, Artificial Intelligence
Ruijie Zhou; Chong Xie; Xiuling He; Yangyang Li; Qiong Fan; Ying Yu; Zhonghua Yan – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential competency for comprehending and addressing intricate issues in the digital world, has been incorporated into curriculum planning as a goal for programming education. This study introduced flow design into programming curricula to investigate its impact on undergraduates 'CT skills during pair work. Two…
Descriptors: Undergraduate Students, Thinking Skills, Computation, Programming
Rongxiu Wu; Susan Sunbury; Philip Sadler; Gerhard Sonnert – Education and Information Technologies, 2024
Student identity measures in Science, Technology, Engineering, and Mathematics (STEM) fields are a strong predictor of future persistence in those disciplines. However, there is a paucity of studies with validated measures of students' computer science (CS) identity. The aim of the present study was to assess the reliability and validity of a…
Descriptors: Test Reliability, Test Validity, Computer Science Education, Self Concept
Michael Karlin; Yin-Chan Liao; Swati Mehta – Journal of Research on Technology in Education, 2024
With the increasing demand for K-12 computer science education (CSed), and the importance of preparing highly qualified preservice teachers who have basic CS knowledge, teacher education faculty play an essential role in CSed capacity building. However, little is known about the best ways for supporting teacher education faculty with the…
Descriptors: Computer Science Education, Preservice Teacher Education, Teacher Educators, Faculty Development
Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
Jonathan Robert Bowers – ProQuest LLC, 2024
To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…
Descriptors: Troubleshooting, Thinking Skills, Computation, Computer Science Education
Amy L. Brooks; Prateek Shekhar; Jeffrey Knowles; Elliott Clement; Shane A. Brown – IEEE Transactions on Education, 2024
Contribution: This study aimed to improve understanding of context-based affordances and barriers to adoption of evidence-based instructional practices (EBIPs) among faculty in electrical and computer engineering (ECE). Context-based influences, including motives, constraints, and feedback mechanisms impacting EBIP adoption across six ECE faculty…
Descriptors: College Faculty, Computer Science Education, Evidence Based Practice, Engineering Education
Dan Sun; Chee-Kit Looi; Yan Li; Chengcong Zhu; Caifeng Zhu; Miaoting Cheng – Educational Technology Research and Development, 2024
In the current era where computational literacy holds significant relevance, a growing number of schools across the globe have placed emphasis on K-12 programming education. This field of education primarily comprises two distinct modalities--the block-based programming modality (BPM) and the text-based programming modality (TPM). Previous…
Descriptors: Programming, Student Behavior, Thinking Skills, Computation
Olgun Sadik; Anne Todd Ottenbreit-Leftwich – Computer Science Education, 2024
Background and Context: Based on issues arising around how to best prepare CS teachers and the constantly changing nature of the CS education content, curriculum, and instructional methods, it is crucial to examine the needs of secondary CS teachers. Objective: The primary purpose of this study was to identify secondary computer science (CS)…
Descriptors: Secondary School Teachers, Computer Science Education, Barriers, Needs
Dan Sun; Chengcong Zhu; Fan Xu; Yan Li; Fan Ouyang; Miaoting Cheng – Journal of Educational Computing Research, 2024
Although previous research has provided some insights into the effects of block-based and text-based programming modalities, there is a dearth of a detailed, multi-dimensional analysis of the transition process from different introductory programming modalities to professional programming learning. This study employed a quasi-experimental design…
Descriptors: Programming, Secondary School Students, Computation, Thinking Skills
Mike Karlin; Anne Ottenbreit-Leftwich; Yin-Chan Janet Liao – TechTrends: Linking Research and Practice to Improve Learning, 2024
While a growing emphasis has been placed on broadening participation in computer science (CS) education, an enduring gender gap exists. One reason for this is gender-based CS stereotypes, which serve as gatekeepers and act in exclusionary ways. However, some high schools in the U.S. have still built gender-inclusive CS programs. We conducted a…
Descriptors: High Schools, Computer Science Education, Gender Differences, Stereotypes
Peter J. Rich; Scott Bartholomew; David Daniel; Kenzie Dinsmoor; Meagan Nielsen; Connor Reynolds; Meg Swanson; Ellyse Winward; Jessica Yauney – Journal of Research on Technology in Education, 2024
In this study, we attempted to curate a list of tools whose primary intent is to enable and teach children to code. From this list, we developed a framework for the classification of coding tools and reviewed current research to determine how tools are used to teach coding in elementary education. The catalog grew to over 300 specific tools…
Descriptors: Educational Trends, Teaching Methods, Coding, Thinking Skills
Michael Kolling – Informatics in Education, 2024
The principles of programming language design for learning and teaching have been described and discussed for several decades. Most influential was the work of Niklaus Wirth, describing principles such as simplicity, modularity, orthogonality, and readability. So why is this still an area of fundamental disagreement among educators? Why can…
Descriptors: Programming Languages, Design, Novices, Computer Science Education