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Cognitive Models and Intelligent Environments for Learning Programming
Angielski
373 b
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At present, there is a general consensus on the nature of§learning programming, but there are different opinions on§what forms an effective environment for it. It is generally§recognized that the development of a mental model is a§formidable task for the student and that learning§programming is a complex activity that depends heavily on§metacognitive skills.§This book, based on a NATO workshop, presents both pure§cognitive models and experimental learning environments, and§discusses what characteristics can make a learning model§effective, especially in relation to the learning§environment (natural or computerized). The papers cover§cognitive models related to different aspects of§programming, classes of learners, and types of environment,§and are organized in three groups: theoretical and empirical§studies on understanding programming, environments for§learning programming, and learning programming in school§environments.§Comprehension, design, construction, testing, debugging, and§verification are recognized as interdependent skills, which§require complicated analysis and may develop independently,§and indifferent orders, in novices. This book shows that§there is unlikely to be asingle path from novice to expert§and that the structure of the final product (the program)§may not constrain the process by which it comes into being§as much as some would advocate.
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