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Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
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Celis Rangel, Jakeline G.; King, Melissa; Muldner, Kasia – ACM Transactions on Computing Education, 2020
Learning to program requires perseverance, practice, and the mindset that programming skills are improved through these activities (i.e., that everyone has the potential to become good at programming). In contrast to an entity mindset, individuals with an incremental mindset believe that ability is malleable and can be improved with effort. Prior…
Descriptors: Intervention, Cognitive Structures, Programming, Learning Activities
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Ramazanoglu, Mehmet – European Journal of Educational Sciences, 2021
This paper focuses on revealing and modeling the cognitive constructs of pre-service teachers regarding the characteristics of a good IT academician. The research was carried out via the exploratory sequential design with the participation of 42 volunteer pre-service teachers enrolled in the Department of Computer and Instructional Technology. The…
Descriptors: Preservice Teachers, Student Attitudes, Information Technology, Cognitive Structures
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Jimoyiannis, Athanassios – Themes in Science and Technology Education, 2011
Introductory programming seems far from being successful at both university and high school levels. Research data already published offer significant knowledge regarding university students' deficiencies in computer programming and the alternative representations they built about abstract programming constructs. However, secondary education…
Descriptors: Taxonomy, Computer Science Education, Programming, Cognitive Structures
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Chen, Ling-Hsiu – Computers & Education, 2011
Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…
Descriptors: Foreign Countries, Educational Technology, Cognitive Style, Self Efficacy
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Ramalingam, Vennila; Wiedenbeck, Susan – Journal of Educational Computing Research, 1998
A 32-item self-efficacy scale for computer programming was developed, primed to the C++ programming language. The scale was administered to 421 students at the beginning and end of an introductory course in C++ programming. There was growth in self-efficacy between two administrations of the scale 12 weeks apart, particularly for students who…
Descriptors: Cognitive Structures, Computer Science Education, Computer Software, Higher Education
Pirolli, Peter L.; Anderson, John R. – 1984
This study reports two experiments which indicate that the processes of providing subjects with insightful representations of example programs and guiding subjects through an "ideal" problem solving strategy facilitate learning. A production system model (GRAPES) has been developed that simulates problem-solving and learning in the…
Descriptors: Cognitive Structures, Computer Assisted Instruction, Computer Science Education, Computer Simulation
Wallace, Andrew R.; Sinclair, Kenneth E. – 1995
New electronic technologies provide powerful tools for managing and processing the rapidly increasing amounts of information available for learning; teachers, however, have often been slow in integrating computers into the curriculum. This study addresses the question of how prospective teachers construct affective and cognitive models about…
Descriptors: Case Studies, Cognitive Structures, Computer Anxiety, Computer Attitudes