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The move to computer based evaluation is a natural outcome of the increasing use of information technologies to enhance learning. Our goal is to develop a set of online tools for distance education, evaluation and self-learning of undergraduate courses in statistics using Maple TA software. The proposed tool includes an extensive bank of questions and randomizes the order of questions and answers. Moreover, a series of parameter-based questions is developed in such a way that parameters are able to take on random values within a defined range. The effect is that any question can generate a different instance for each student, and the feedback given can also be particular to each student's parameters, instead of a general solution.
In this talk we present outcomes of utilizing this tool for teaching an undergraduate time series course at the University of Waterloo.
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