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Author(s): Tóth, Krisztina; Rölke, Heiko; Goldhammer, Frank; Barkow, Ingo
Title: Educational process mining. New possibilities for understanding students' problem-solving skills
In: Csapó, Benő;Funke, Joachim (Hrsg.): The nature of problem solving: Using research to inspire 21st century learning, Paris: OECD Publishing, 2017 , S. 193-209
DOI: 10.1787/9789264273955-14-en
Publication Type: 4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Language: Englisch
Keywords: Computer; Problemlösen; Schüler; Kompetenz; Schülerleistung; Leistungsmessung; Technologiebasiertes Testen; Datenanalyse; Data Mining; Logdatei; Informationssystem; Datenbank; Visualisierung; Interaktion; Verhalten
Abstract: The assessment of problem-solving skills heavily relies on computer-based assessment (CBA). In CBA, all student interactions with the assessment system are automatically stored. Using the accumulated data, the individual test-taking processes can be reproduced at any time. Going one step further, recorded processes can even be used to extend the problem-solving assessment itself: the test-taking process-related data gives us the opportunity to 1) examine human-computer interactions via traces left in the log file; 2) map students' response processes to find distinguishable problem-solving strategies; and 3) discover relationships between students' activities and task performance. This chapter describes how to extract process-related information from event logs, how to use these data in problem-solving assessments and describes methods which help discover novel, useful information based on individual problem-solving behaviour. (DIPF/Orig.)
DIPF-Departments: Bildungsqualität und Evaluation; Informationszentrum Bildung