Yet, more Web exercises for learning C++
Proceedings of the thirty-first SIGCSE technical symposium on Computer science education
Knowledge management systems: issues, challenges, and benefits
Communications of the AIS
Knowledge Management: Learning from Knowledge Engineering
Knowledge Management: Learning from Knowledge Engineering
Better Knowledge Management through Knowledge Engineering
IEEE Intelligent Systems
A Framework for Representing Knowledge
A Framework for Representing Knowledge
Coupling pair programming and writing: learning about students' perceptions and processes
Proceedings of the 35th SIGCSE technical symposium on Computer science education
Exploring students' understanding of the concept of algorithm: levels of abstraction
ITiCSE '05 Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education
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This research examines the framework used by Computer Science students at the conclusion of their first semester of study of database concepts. To discover which concepts are considered as essential components in students' mental frameworks for database systems, a questionnaire listing 31 database concepts was given to Computer Science students upon completion of their first database course. This survey was given to two student groups: one during the last week of their first database course, and the other during the first meeting of a second database course. To identify which topics were crucial, students were asked to rate each concept on a ten-point scale. From their responses, we calculated the average perceived importance for each concept. This paper analyses the results of this survey for the two student groups. We then compare the student ratings with word frequencies exhibited by authors of database textbooks. In this way, we are able to show how the database framework of students relates to frameworks presented in textbooks.