Human-Computer Interaction: Communication, Cooperation, and Application Design

By Hans-Jörg Bullinger; Jürgen Ziegler | Go to book overview
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Table 2: Example of input to the system from the domain of economics
Variables:
Income Y
Consumption C
Investment I
autonomous consumption a
marginal propensity to consume b
autonomous investment expenditure I
Interest rate R
sensitivity of investment in interest rates c
Formulae:
Y=C+I
C=a+b*Y
I=i-c*R

2.1 Instructor's mode
When 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 construct:
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

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