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Lung-Chun Chang; Hon-Ren Lin; Jian-Wei Lin – Education and Information Technologies, 2024
Many students want to enroll in programming courses but fear the challenges ahead. They aspire to design quality systems or games after acquiring related skills but report concerns that programming logic is too difficult to learn because memorization of the syntax is required. Thus, they experience anxiety, are demotivated to learn, and,…
Descriptors: Learning Motivation, Outcomes of Education, Anxiety, Programming
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Zhang, Jia-Hua; Meng, Bin; Zou, Liu-Cong; Zhu, Yue; Hwang, Gwo-Jen – Interactive Learning Environments, 2023
As one of the core skills of the 21st century, computational thinking has received increasing attention from educators and researchers. Although some research has been conducted on computational thinking, few studies examined the impact of learning activities on students' computation thinking skills from the perspective of cognitive development.…
Descriptors: Flow Charts, Scaffolding (Teaching Technique), College Students, Computation
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Threekunprapa, Arinchaya; Yasri, Pratchayapong – International Journal of Instruction, 2020
Computational thinking (CT) has become a necessary skill of students in the 21st century. Various learning approaches have been developed to foster CT among school students. However, these approaches predominantly rely on computer devices and internet connection and fail to promote advanced computer concepts necessary for programming. Therefore,…
Descriptors: Computation, Thinking Skills, Coding, Flow Charts
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Smith, Stacey L.; Vannest, Kimberly J.; Davis, John L. – Psychology in the Schools, 2011
The reliability of data is a critical issue in decision-making for practitioners in the school. Percent Agreement and Cohen's kappa are the two most widely reported indices of inter-rater reliability, however, a recent Monte Carlo study on the reliability of multi-category scales found other indices to be more trustworthy given the type of data…
Descriptors: Monte Carlo Methods, Interrater Reliability, Flow Charts, Computation
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Ingels, Steven J.; Pratt, Daniel J.; Wilson, David; Burns, Laura J.; Currivan, Douglas; Rogers, James E.; Hubbard-Bednasz, Sherry – National Center for Education Statistics, 2007
The Data File Documentation reports on the procedures and methodologies employed during the Education Longitudinal Study of 2002 base year, first, and second follow-ups, with special emphasis on the second follow-up (2006). The document is designed to provide guidance for users of the restricted-use data as released in Electronic Codebook (ECB)…
Descriptors: Longitudinal Studies, Research Methodology, High School Students, Data Collection