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Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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Scaradozzi, D.; Screpanti, L.; Cesaretti, L.; Storti, M.; Mazzieri, E. – Technology, Knowledge and Learning, 2019
Educational Robotics is rapidly gaining attention as an effective methodology to develop skills and engage students preserving their peculiar style of learning. It is often tied together with two other methodologies, Coding and Tinkering, characterized by a similar hands-on approach. In order to fully exploit their inclusive features, teachers…
Descriptors: Inservice Teacher Education, Program Implementation, Evaluation Methods, STEM Education
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Christel Sirocchi; Annika Pofantis Ostergren; Alessandro Bogliolo – ACM Transactions on Computing Education, 2024
Digital competence (DC) is a broad set of skills, attitudes, and knowledge for confident, critical, and responsible use of digital technologies in every aspect of life. DC proves essential in the contemporary digital landscape, yet its diffusion is hindered by biases, misunderstandings, and limited awareness. Teaching Informatics in the…
Descriptors: Computer Science Education, Information Science Education, Coding, Digital Literacy
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Mustafa Sat; Zafer Kadirhan – Education and Information Technologies, 2024
The significance of teachers' self-efficacy in coding education within K-12 settings has grown substantially. However, the literature lacks subject-specific measurement tools tailored to assess teachers' self-efficacy in coding instruction. This study adopted a mixed methods approach to develop a reliable and valid instrument for measuring…
Descriptors: Self Efficacy, Teacher Attitudes, Student Motivation, Pedagogical Content Knowledge
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Leiny Garcia; Miranda Parker; Mark Warschauer – Computer Science Education, 2024
Background and Context: Despite the growing initiatives in K-12 computer science (CS), there is a continued disparity in the participation of Latinx and multilingual students, a historically underrepresented group in computing. The inequitable participation may be understood by examining students' early development of CS attitudes. Objective: This…
Descriptors: Coding, Student Attitudes, Grade 4, Elementary School Students
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Sabarinath, Roshni; Quek, Choon Lang Gwendoline – Education and Information Technologies, 2020
Programming in schools is no longer a novel subject. It is now quite commonly found in our schools either in formal or informal curriculum. Programmers use creative learning tactics to solve problems and communicate ideas. Learning to program is generally considered challenging. Developing and implementing new methodologies in teaching programming…
Descriptors: Computer Science Education, Programming, Peer Evaluation, Coding
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Cagirgan, Gokhan; Elvan, Gun – Cypriot Journal of Educational Sciences, 2020
Societies have different ways of transferring the products they created within their own cultural structures by using the basic elements of music. We see that some societies use verbal transfer, some societies use written transfer, while the other societies use both means of transfer. The signs, which are the basis of music theory and the tools of…
Descriptors: Foreign Countries, Music Education, Musical Composition, Coding
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Schneider, Bertrand; Dich, Yong; Radu, Iulian – International Journal of Computer-Supported Collaborative Learning, 2020
Over the last decade, there has been a renewed interest in capturing twenty-first century skills using new data collection tools. In this article, we leverage an existing dataset where electrodermal activity (EDA) was used to identify markers of productive collaboration. The data came from 42 pairs of participants (N = 84) who had no coding…
Descriptors: Psychophysiology, Measures (Individuals), Cooperative Learning, 21st Century Skills
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Cline, K.; Fasteen, J.; Francis, A.; Sullivan, E.; Wendt, T. – PRIMUS, 2020
We consider the use of projects in math courses as a mechanism for promoting coding, communication, and interdisciplinary application of math skills. Final projects play an important role, but we also discuss several alternate types of projects. We describe a model that incorporates projects at all stages across the undergraduate mathematics…
Descriptors: Student Projects, Mathematics Curriculum, Mathematics Activities, Mathematics Skills
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White, Jason J. G. – Journal of Science Education for Students with Disabilities, 2020
This paper serves two purposes. First, it offers an overview of the role of the Mathematical Markup Language (MathML) in representing mathematical notation on the Web, and its significance for accessibility. To orient the discussion, hypotheses are advanced regarding users' needs in connection with the accessibility of mathematical notation.…
Descriptors: Accessibility (for Disabled), Coding, Mathematics, Programming Languages
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Dawar, Deepak – Journal of Information Systems Education, 2023
For most beginners, learning computer programming is a complex undertaking. Demotivation and learned helplessness have been widely reported. In addition to the subject's complexity, low in-class involvement has been linked to poor student performance. This work introduces a novel instructional technique called Student-Driven Probe Instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, Teaching Methods
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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
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Zhao, Xin; Coxe, Stefany; Sibley, Margaret H.; Zulauf-McCurdy, Courtney; Pettit, Jeremy W. – Prevention Science, 2023
There has been increasing interest in applying integrative data analysis (IDA) to analyze data across multiple studies to increase sample size and statistical power. Measures of a construct are frequently not consistent across studies. This article provides a tutorial on the complex decisions that occur when conducting harmonization of measures…
Descriptors: Data Analysis, Sample Size, Decision Making, Test Items
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Gianmarc Grazioli; Adam Ingwerson; David Santiago Jr.; Patrick Regan; Heekun Cho – Journal of Chemical Education, 2023
Computational chemistry instructional activities are often based around students running chemical simulations via a graphical user interface (GUI). GUI-based activities offer many advantages, as they enable students to run chemical simulations with a few mouse clicks. Although these activities are excellent for introducing students to the…
Descriptors: Computation, Chemistry, Teaching Methods, Science Education
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Zeng, Mini; Zhu, Feng – Journal of Cybersecurity Education, Research and Practice, 2021
Software vulnerabilities have become a severe cybersecurity issue. There are numerous resources of industry best practices available, but it is still challenging to effectively teach secure coding practices. The resources are not designed for classroom usage because the amount of information is overwhelming for students. There are efforts in…
Descriptors: Computer Software, Coding, Computer Security, Computer Science Education
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