BinaryAdder UML Dataset
Paaßen B (2017)
Bielefeld University.
Datenpublikation
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BinaryAdderUML.zip
44.02 MB
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Einrichtung
Abstract / Bemerkung
This is a dataset of time series or _traces_ of UML diagrams with the purpose to test the
ability of artificial hint systems to provide next-step hints to students. The example learning
task investigated in this dataset is to generate an
[UML activity diagram](https://en.wikipedia.org/wiki/Activity_diagram) that models
an algorithm to add two binary numbers. The dataset consists of twelve _training_ traces, which
contain steps to a correct solution to the task, and twelve _test_ traces, which contain steps
toward a possibly erroneous solution to the task. For each step of the test traces, hints of human
tutors are available, accompanied by grades for these hints. To evaluate an artificial system, one
can compare to the hints generated by human tutors.
Stichworte
intelligent tutoring systems;
student trace data;
computer science education;
unified modelling language;
edit hints
Erscheinungsjahr
2017
Copyright und Lizenzen
Page URI
https://pub.uni-bielefeld.de/record/2913083
Zitieren
Paaßen B. BinaryAdder UML Dataset. Bielefeld University; 2017.
Paaßen, B. (2017). BinaryAdder UML Dataset. Bielefeld University. doi:10.4119/unibi/2913083
Paaßen, Benjamin. 2017. BinaryAdder UML Dataset. Bielefeld University.
Paaßen, B. (2017). BinaryAdder UML Dataset. Bielefeld University.
Paaßen, B., 2017. BinaryAdder UML Dataset, Bielefeld University.
B. Paaßen, BinaryAdder UML Dataset, Bielefeld University, 2017.
Paaßen, B.: BinaryAdder UML Dataset. Bielefeld University (2017).
Paaßen, Benjamin. BinaryAdder UML Dataset. Bielefeld University, 2017.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Open Database License (ODbL) v1.0:
Volltext(e)
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BinaryAdderUML.zip
44.02 MB
Access Level
Open Access
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2019-09-06T09:18:50Z
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