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Çakiroglu, Ünal; Çevik, Isak – Education and Information Technologies, 2022
In order to teach Computational Thinking (CT) skills to young students, Block-Based Programming Environments (BBPEs) are integrated into secondary school computer science (CS) education curricula. As a CT skill, abstraction is one of the prominent skills, which is difficult to enhance and measure. Researchers developed some scales for measuring…
Descriptors: Computation, Thinking Skills, Computer Science Education, Programming
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Polat, Elif; Yilmaz, Rabia Meryem – Education and Information Technologies, 2022
The aim of this study is to compare the effects of unplugged and plugged-in activities on academic achievement and computational thinking (CT) skills of sixth-grade students. Mixed-method research was carried out to explore whether there were differences between the groups, and to learn the students' opinions and experiences regarding the…
Descriptors: Learning Activities, Programming, Computer Science Education, Computation
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Chen, Ken-Zen; Chi, Hsiao-Han – Interactive Learning Environments, 2022
The purpose of the qualitative study was to investigate experiences of first-time board-game users (29 elementary school students) in playing "Coding Ocean" (CO) to learn computational thinking. CO was a two-team strategy board game and was designed for children developing basic understanding of computational thinking. Participation…
Descriptors: Novices, Elementary School Students, Games, Student Experience
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Bayar, Mirac Furkan; Tas, Yasemin – Alberta Journal of Educational Research, 2022
This study aimed to investigate the effects of robotic coding supported Design-Based Science Instruction (RC-DBSI) on sixth-grade students' science process skills. One-group pretest-posttest experimental design was employed in the study. Participants consisted of thirty-nine sixth-grade students enrolled in a public middle school located in the…
Descriptors: Robotics, Programming, Design, Science Instruction
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Fowler, Max; Smith, David H., IV; Hassan, Mohammed; Poulsen, Seth; West, Matthew; Zilles, Craig – Computer Science Education, 2022
Background and Context: Lopez and Lister first presented evidence for a skill hierarchy of code reading, tracing, and writing for introductory programming students. Further support for this hierarchy could help computer science educators sequence course content to best build student programming skill. Objective: This study aims to replicate a…
Descriptors: Programming, Computer Science Education, Correlation, Introductory Courses
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Rizk, Nadya; McKenzie, Matt; Samrout, Marya – Teaching Science, 2022
Coding is a process often associated with computers. Nevertheless, coding is a thought process that can be mastered even without a computer. In NSW, primary students are introduced to computational and algorithmic thinking as early as Stage 1. Yet, teaching coding to young students is not always easy for teachers, mostly because the process is…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
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Hu, Yue; Su, Chien-Yuan; Fu, Anna – Education and Information Technologies, 2022
In recent years, increased attention has been given to programming instruction for primary and secondary students. Several game-based programming learning platforms, such as Code.org, Lightbot, and Run Marco, have been created to offer enticing, enjoyable, and visualizable programming learning conditions that facilitate student interest and…
Descriptors: Game Based Learning, Programming, Computer Science Education, Student Attitudes
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Liu, Fang; Zhao, Liang; Zhao, Jiayi; Dai, Qin; Fan, Chunlong; Shen, Jun – IEEE Transactions on Learning Technologies, 2022
Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…
Descriptors: Data Use, Learning Management Systems, Problem Solving, Learning Processes
Elizabeth Plasky – ProQuest LLC, 2022
The COVID-19 pandemic caused educators across the country and around the world were required to replace in-person instruction of students with teaching/learning through online platforms for a period of months (Perifanou et al, 2021). Despite the numerous advantages that using technology with students were shown to have, many teachers remain…
Descriptors: Learning Activities, Programming, Computer Science Education, Conventional Instruction
Mary Conyers Tucker – ProQuest LLC, 2022
Learning to program is increasingly important. Yet, it is becoming clear that most students struggle when learning to program (McCracken et al., 2001). This is leading to a divide where some people can program but many others can't. Prior research has traced poor student outcomes to their early experiences learning programming. Still, little is…
Descriptors: Teaching Methods, Programming, Computer Science Education, Student Motivation
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Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Ruiqi Shen – ProQuest LLC, 2021
With the large demand for technology workers all around the world, more people are learning programming. Studies show that human tutoring is the most effective way to learn for novice programmers. However, problems such as the inaccessibility to physical classes, prohibitive costs, and the lack of educators may limit students' opportunities to…
Descriptors: MOOCs, Online Systems, Interactive Video, Computer Assisted Instruction
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Ülker, Ezgi Deniz – Cypriot Journal of Educational Sciences, 2020
The ability of analysing and designing an algorithm is quite essential for computer science education. The students in the Analysis and Design of Algorithms (ADA) course are expected to be able to solve problems by choosing one of the proper design methods and to analyse the algorithm's performance in terms of various aspects. Instead of using…
Descriptors: Computer Science Education, Design, Mathematics, Programming
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Indriasari, Theresia Devi; Luxton-Reilly, Andrew; Denny, Paul – ACM Transactions on Computing Education, 2020
Peer review is the standard process within academia for maintaining publication quality, but it is also widely employed in other settings, such as education and industry, for improving work quality and for generating actionable feedback to content authors. For example, in the software industry peer review of program source code--or peer code…
Descriptors: Peer Evaluation, Programming, Higher Education, Computer Science Education
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Vandenberg, Jessica; Tsan, Jennifer; Boulden, Danielle; Zakaria, Zarifa; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – ACM Transactions on Computing Education, 2020
The language and concepts used by curriculum designers are not always interpreted by children as designers intended. This can be problematic when researchers use self-reported survey instruments in concert with curricula, which often rely on the implicit belief that students' understanding aligns with their own. We report on our refinement of a…
Descriptors: Elementary School Students, Knowledge Level, Computer Science, Student Attitudes
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