Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
Three simulator tools for teaching computer architecture: Little Man computer, and RTLSim
Journal on Educational Resources in Computing (JERIC)
Usability Engineering
A taxonomy of computer architecture visualizations
Proceedings of the 7th annual conference on Innovation and technology in computer science education
Putting threshold concepts into context in computer science education
Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education
Proceedings of the 12th Koli Calling International Conference on Computing Education Research
Students' understandings of storing objects
Koli Calling '07 Proceedings of the Seventh Baltic Sea Conference on Computing Education Research - Volume 88
Can peer instruction be effective in upper-division computer science courses?
ACM Transactions on Computing Education (TOCE) - Special Issue on Alternatives to Lecture in the Computer Science Classroom
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The EasyCPU visualization environment was developed for teaching computer architecture to novice students of computer science. During the development, the process of choosing the appropriate conceptual model of the computer for the visualization motivated research on the mental models that arise in the students as they learn. These mental models come from attempts by the students to make sense of the conceptual models presented to them by the software tool and their learning materials (textbook and exercises). The research findings support the view that the visualization was critical in enabling the construction of a viable mental model, a process that did not occur from textbook learning alone, because for the majority of students, their mental models were based upon their end-user experience rather than on the theoretical learning.