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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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Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Horng, Shi-Jinn; Lim, Heuiseok – Innovations in Education and Teaching International, 2018
In learning systems and environment research, intelligent tutoring and personalisation are considered the two most important factors. An Intelligent Tutoring System can serve as an effective tool to improve problem-solving skills by simulating a human tutor's actions in implementing one-to-one adaptive and personalised teaching. Thus, in this…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Skill Development, Programming
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Andrzejewska, Magdalena; Stolinska, Anna; Blasiak, Wladyslaw; Peczkowski, Pawel; Rosiek, Roman; Rozek, Bozena; Sajka, Miroslawa; Wcislo, Dariusz – Interactive Learning Environments, 2016
The results of qualitative and quantitative investigations conducted with individuals who learned algorithms in school are presented in this article. In these investigations, eye-tracking technology was used to follow the process of solving algorithmic problems. The algorithmic problems were presented in two comparable variants: in a pseudocode…
Descriptors: Qualitative Research, Statistical Analysis, Mathematics, Eye Movements
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Hooshyar, D.; Ahmad, R. B.; Yousefi, M.; Yusop, F. D.; Horng, S.-J. – Journal of Computer Assisted Learning, 2015
Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem-solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one-to-one personalized and…
Descriptors: Flow Charts, Intelligent Tutoring Systems, Educational Technology, Teaching Methods
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Norton, Stephen J.; McRobbie, Campbell J.; Ginns, Ian S. – Research in Science Education, 2007
Little research has been conducted on how students work when they are required to plan, build and evaluate artefacts in technology rich learning environments such as those supported by tools including flow charts, "Labview" programming and Lego construction. In this study, activity theory was used as an analytic tool to examine the social…
Descriptors: Programming Languages, Flow Charts, Problem Solving, Programming
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Siozou, Stefania; Tselios, Nikolaos; Komis, Vassilis – Interactive Technology and Smart Education, 2008
Purpose: The purpose of this paper is to compare the effect of different representations while teaching basic algorithmic concepts to novice programmers. Design/methodology/approach: A learning activity was designed and mediated with two conceptually different learning environments, each one used by a different group. The first group used the…
Descriptors: Flow Charts, Programming, Longitudinal Studies, Comparative Analysis
Osborne, Larry N.; Nakamura, Margaret – 2000
This textbook covering the basic techniques of systems analysis targeted to the librarian or information professional contains the following chapters: (1) Understanding Systems Analysis; (2) The Historical Development of Systems Analysis; (3) The Human Element; (4) Identifying and Defining Problems; (5) Collecting Data; (6) Analyzing and…
Descriptors: Case Studies, Data Analysis, Flow Charts, Information Services