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Shaw, Ruey-Shiang – Journal of Educational Computing Research, 2019
This study focused on the relationships between knowledge mapping construction methods and learning performance. The different knowledge mapping methods (by experts vs. by self-learners) were assumed to achieve different learning performance levels. The results of this study show that neither different knowledge map construction methods nor…
Descriptors: Cognitive Style, Programming Languages, Correlation, Cognitive Mapping
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Efecan, Can Fatih; Sendag, Serkan; Gedik, Nuray – Journal of Educational Computing Research, 2021
Learning programming is a painful process for most students, especially those learning text- based programming languages. In this study, based on the principle of Bandura's social learning theory, the vicarious real-life experiences of several pioneers in the field of IT and programming were presented as 15-minutes stories to a group of 9th…
Descriptors: Programming, Computer Science Education, Academic Achievement, Comparative Analysis
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Acharya, Anal; Sinha, Devadatta – Journal of Educational Computing Research, 2017
The aim of this article is to propose a method for development of concept map in web-based environment for identifying concepts a student is deficient in after learning using traditional methods. Direct Hashing and Pruning algorithm was used to construct concept map. Redundancies within the concept map were removed to generate a learning sequence.…
Descriptors: Intelligent Tutoring Systems, Web Based Instruction, Concept Mapping, Learning Problems
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Tran, Yune – Journal of Educational Computing Research, 2019
The Computer Science Teachers Association has asserted that computational thinking equips students with essential critical thinking which allows them to conceptualize, analyze, and solve more complex problems. These skills are applicable to all content area as students learn to use strategies, ideas, and technological practices more effectively as…
Descriptors: Equal Education, Elementary School Students, Pretests Posttests, Computer Science Education
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Whitney, Michael; Lipford, Heather Richter; Chu, Bill; Thomas, Tyler – Journal of Educational Computing Research, 2018
Many of the software security vulnerabilities that people face today can be remediated through secure coding practices. A critical step toward the practice of secure coding is ensuring that our computing students are educated on these practices. We argue that secure coding education needs to be included across a computing curriculum. We are…
Descriptors: Computer Security, Programming, Coding, Computer Science Education
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Xinogalos, Stelios – Journal of Educational Computing Research, 2012
Programming microworlds are being used for introducing students to programming for many years. Although many professors and school teachers report positive results from using programming microwords, these results are usually based on anecdotal evidence rather than rigorous empirical evaluation. A question that has not been answered yet with…
Descriptors: Foreign Countries, Programming Languages, Programming, Computer Science Education
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Bishop-Clark, Cathy; Courte, Jill; Evans, Donna; Howard, Elizabeth V. – Journal of Educational Computing Research, 2007
In this investigation, the use of the Alice programming language in an introductory computing class was studied from both a quantitative and qualitative perspective. Students in an introductory computing class participated in a 2.5-week unit to learn programming through the graphical programming environment of Alice. Quantitatively, students were…
Descriptors: Measures (Individuals), Computers, Investigations, Essays
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Liu, Min – Journal of Educational Computing Research, 1998
Describes a study that examined whether engaging elementary school students in hypermedia authoring would promote their creative thinking. Highlights include Logo programming language; the Torrance Tests of Creativity Thinking; performance assessment; interviews and observations; ability levels; collaborative versus individual learning; and…
Descriptors: Ability Grouping, Academic Ability, Analysis of Variance, Authoring Aids (Programming)