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Wei Dong; Yongjie Li; Lihui Sun; Yiran Liu – International Journal of Technology and Design Education, 2024
Recently, computational thinking (CT) has gained importance in education systems worldwide, specifically the CT training of pre-service teachers. This study conducted a systematic literature analysis (2011-2021) of 38 works on pre-service teachers' CT based on Web of Science, Science Direct, and Google Scholar databases. The results were as…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Cognitive Processes
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Stewart, William H.; Baek, Kwanwoo – International Journal of Computer Science Education in Schools, 2023
Computational Thinking (CT) has become popular in recent years and has been recognized as an essential skill for everyone in the digital age. CT literature, however, is at an early stage of development, and there is no consensus among researchers/scholars in the field. To date, many have been unable to concretely explain what CT is, or how to…
Descriptors: Computation, Thinking Skills, Programming, Literature Reviews
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Toluchuri Shalini Shanker Rao; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
Computational thinking (CT) has received growing interest as a research subject in the last decade, with research contributions attempting to capitalize on the benefits that CT may provide. This study included a systematic analysis aimed at revealing current trends in the CT subject, identifying educational interventions, and emerging assessment…
Descriptors: Computation, Thinking Skills, Educational Research, Skill Development
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Alejandro Espinal; Camilo Vieira; Alejandra J. Magana – ACM Transactions on Computing Education, 2024
This paper presents a systematic literature review of professional development programs in computational thinking (CT). CT has emerged as an essential set of skills that everyone should develop to participate in a global society. However, there were no pre-service or in-service teacher programs to integrate CT into the K-12 classrooms until very…
Descriptors: Faculty Development, Computation, Thinking Skills, Skill Development
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Zhichun Liu; Zarina Gearty; Eleanor Richard; Chandra Hawley Orrill; Shakhnoza Kayumova; Ramprasad Balasubramanian – International Journal of STEM Education, 2024
Although computational thinking (CT) is becoming increasingly prevalent in K-12 education, many teachers find it challenging to integrate it with their classroom learning. In this systematic review, we have reviewed empirical evidence on teachers' computational-thinking-focused professional development (PD). The findings depict the landscape of…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Teaching Methods
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Xiaoling Zhang; Fenia Aivaloglou; Marcus Specht – European Journal of STEM Education, 2024
Computational Thinking (CT) is considered a core 21st century digital skill. The aspect of assessment is crucial and knowing what, who, when, how, and where to assess is important for assessment design. In this study, we conducted an umbrella review to gain insights regarding CT assessment in higher education. In total, we analyzed 11 reviews,…
Descriptors: Computation, Thinking Skills, Higher Education, 21st Century Skills
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William H. Walters – College & Research Libraries, 2024
Estimates of the price or value of the individual journals within a full-text database may be useful to librarians engaged in serials reviews or other collection development projects, to scholars investigating the determinants of journal prices, and to publishers seeking to rationalize their pricing strategies. This paper evaluates six methods of…
Descriptors: Databases, Costs, Publications, Periodicals
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Bin Tan; Hao-Yue Jin; Maria Cutumisu – Computer Science Education, 2024
Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Student Evaluation
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Xu, Enwei; Wang, Wei; Wang, Qingxia – Education and Information Technologies, 2023
Computational thinking is considered to be an important competence in the intelligent era, and the incorporation of computational thinking as an integral part of school education beginning in childhood has been proposed. However, the ways in which computational thinking can be taught more effectively the context of in K-12 programming teaching…
Descriptors: Programming, Instructional Effectiveness, Elementary School Students, Secondary School Students
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Silva, Edelberto Franco; Dembogurski, Bruno Jose; Semaan, Gustavo Silva – International Journal of Early Years Education, 2023
Nowadays, technology has become dominant in the daily lives of most people around the world. Technology is present from children to older people, helping in the most diverse daily tasks and allowing accessibility. However, many times these people are just end-users, without any incentive to develop computational thinking (CT). With advances in…
Descriptors: Young Children, Preschool Children, Computation, Thinking Skills
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Yu-Hui Ching; Yu-Chang Hsu – TechTrends: Linking Research and Practice to Improve Learning, 2024
Educational robotics has been adopted to create interactive and engaging learning environments to develop computational thinking (CT) in K-12 learners. This study systematically examined 22 peer-reviewed empirical research articles on the use of educational robotics to develop CT in young learners (pre-kindergarten to 6th grade) published between…
Descriptors: Robotics, Educational Technology, Preschool Education, Elementary Education
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Qi, Hongchao; Rizopoulos, Dimitris; Rosmalen, Joost – Research Synthesis Methods, 2023
The meta-analytic-predictive (MAP) approach is a Bayesian method to incorporate historical controls in new trials that aims to increase the statistical power and reduce the required sample size. Here we investigate how to calculate the sample size of the new trial when historical data is available, and the MAP approach is used in the analysis. In…
Descriptors: Sample Size, Computation, Meta Analysis, Bayesian Statistics
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Lan Hong – Education and Information Technologies, 2024
Educational robots have unrivaled advantages and value in developing students' computational thinking. Currently, there are fewer studies on the overall effects of educational robots on K12 students' computational thinking, especially at the instructional style and cross-grade level. In order to investigate the overall effect of educational robots…
Descriptors: Robotics, Computation, Thinking Skills, Elementary Secondary Education
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Shin, Namsoo; Bowers, Jonathan; Roderick, Steve; McIntyre, Cynthia; Stephens, A. Lynn; Eidin, Emil; Krajcik, Joseph; Damelin, Daniel – Instructional Science: An International Journal of the Learning Sciences, 2022
We face complex global issues such as climate change that challenge our ability as humans to manage them. Models have been used as a pivotal science and engineering tool to investigate, represent, explain, and predict phenomena or solve problems that involve multi-faceted systems across many fields. To fully explain complex phenomena or solve…
Descriptors: Systems Approach, Thinking Skills, Computation, Models
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Yanjun Zhang; Yanping Liang; Xiaohong Tian; Xiao Yu – Educational Technology Research and Development, 2024
Due to its task-based, gamified, and interactive features, unplugged programming activity has been widely employed in education and teaching as an activity away from electronic screens and other digital devices. There is ongoing debate over how to help K-9 pupils develop their computational thinking through unplugged programming activities. Based…
Descriptors: Elementary Secondary Education, Teaching Methods, Computation, Thinking Skills
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