8 research outputs found

    Using FCA to Analyse how Students Learn to Program

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    www.upriss.org.uk Abstract. In computer science and mathematics education, universities often observe high failure rates among students if they are taught in a traditional, lecturecentric manner. Interactive engagement teaching methods are more successful but in order to develop suitable teaching materials, lecturers must be aware of potential conceptual difficulties of a domain in advance, for example, by analysing the data of student-submitted work from previous sessions. In computer science education, the data collected from computer-based assessment tools provides a possible source for analysing conceptual difficulties students encounter. The data can be analysed with data mining techniques and in particular with FCA as discussed in this paper.

    The canterbury questionbank: Building a repository of multiple-choice CS1 and CS2 questions

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    In this paper, we report on an ITiCSE-13 Working Group that developed a set of 654 multiple-choice questions on CS1 and CS2 topics, the Canterbury QuestionBank. We describe the questions, the metadata we investigated, and some preliminary investigations of possible research uses of the QuestionBank. The QuestionBank is publicly available as a repository for computing education instructors and researchers. Copyright © 2013 ACM
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