Table 2: Example of input to the system from the domain of economics
marginal propensity to consume||
autonomous investment expenditure||
sensitivity of investment in interest rates||
2.1 Instructor's modeWhen the human instructor wishes to create exercises s/he can type in what is
given and what is asked and the tool can either construct the full problem text or
provide consistency checks that help the instructor verify its completeness and
correctness. In case of redundancies in the given data the tool lets the instructor
know. After the construction of a problem the tool lets the instructor preview
the problem text and the solution of the exercise as formulated by the system.There are two types of problem that the system can assist the instructor to
|Problems without numbers. In problems without numbers the system
displays every variable that the human instructor has entered. The human
instructor should specify which variable is the unknown, which one is given
and the type of change. For example in the domain of economics the
instructor could select as unknown the variable "income", and as given an
"increase" at the level of "interest rates". The system would then produce the
following problem text: "How will the increase of interest rates affect the
level of income?".|
|Problems with numbers. In problems with numbers the system displays
again every variable that the human instructor has entered and requests the
unknown. The system considers automatically all the variables which
depend on the "unknown" (according to the equations) as possible given
data. These variables are shown to the instructor who should now enter their|
Questia, a part of Gale, Cengage Learning. www.questia.com
Book title: Human-Computer Interaction:Communication, Cooperation, and Application Design.
Contributors: Hans-Jörg Bullinger - Editor, Jürgen Ziegler - Editor.
Publisher: Lawrence Erlbaum Associates.
Place of publication: Mahwah, NJ.
Publication year: 1999.
Page number: 649.
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