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Autoren Libbrecht, Paul; Rebholz, Sandra; Herding, Daniel; Müller, Wolfgang; Tscheulin, Felix  
Titel Understanding the learners’ actions when using mathematics learning tools.  
URL https://doi.org/10.1007/978-3-642-31374-5_8  
URN, persistent 10.1007/978-3-642-31374-5_8  
Erscheinungsjahr 2012  
Sammelwerk Jeuring, Johan (Hrsg.); Campbell, John A. (Hrsg.); Carette, Jacques (Hrsg.); Dos Reis, Gabriel (Hrsg.); Sojka, Petr (Hrsg.); Wenzel, Makarius (Hrsg.); Sorge, Volker (Hrsg.): Intelligent computer mathematics.  
Seitenzahl S. 111-126  
Verlag Berlin; u.a.: Springer  
Reihe Lecture notes in computer science. Lecture notes in artificial intelligence. Band 7362  
ISBN 978-3-642-31373-8; 978-3-642-31374-5  
Dokumenttyp Sammelwerksbeitrag; gedruckt; online  
Beigaben Literaturangaben, Abbildungen  
Sprache englisch  
Forschungsschwerpunkt Hochschullehre  
Schlagwörter Mathematikunterricht; Lernmethode; Bewertungssystem; Computerunterstütztes Verfahren; Assessment-Center; Lehrerfortbildung; Lernprozess; Privatsphäre; Problematisierung;  
Abstract The use of computer-based mathematics tools is widespread in learning. Depending on the way that these tools assess the learner’s solution paths, one can distinguish between automatic assessment tools and semi-automatic assessment tools. Automatic assessment tools directly provide all feedback necessary to the learners, while semi-automatic assessment tools involve the teachers as part the assessment process. They are provided with as much information as possible on the learners’ interactions with the tool. How can the teachers know how the learning tools were used and which intermediate steps led to a solution? How can the teachers respond to a learner’s question that arises while using a computer tool? Little is available to answer this beyond interacting directly with the computer and performing a few manipulations to understand the tools’ state. This paper presents SMALA, a web-based logging architecture that addresses these problems by recording, analyzing and representing user actions. While respecting the learner’s privacy, the SMALA architecture supports the teachers by offering fine-grained representations of the learners’ activities as well as overviews of the progress of a classroom (Orig.).  
Förderkennzeichen 01PH08008A; 01PH08008B; 01PH08008C; 01PH08008D