(Mensch und Computer 2007: Interaktion im Plural, 2007) Pinkwart, Niels; Lynch, Collin; Ashley, Kevin; Aleven, Vincent
The intelligent tutoring system LARGO allows law students to annotate a transcript of an oral argument
using diagrams which can be linked to text portions. LARGO analyzes diagrams and gives feedback
to support students’ reflection. The feedback mechanisms rely on certain hypotheses about the
interaction between the student and the system. In particular, a linear working mode (from beginning to
end of the transcript) and a consistent and correct linking of diagram elements to the text are assumed.
Based on an empirical study, this paper argues that the design of LARGO is functional and that the
central interaction hypotheses are confirmed