The piece was developed within a framework comprising pages within subsections. Standard navigation buttons permitted the user to move from page to page, skip forward to the next section or to retrace steps. This approach can assist both students and teachers but is dependent upon an efficient method for the production of suitable content. As Authorware has limited computational structures, we decided to compute Bayesian distributions in Microsoft Excel and pre-plot the curves. This means that the Authorware piece deals primarily with clickable images, which limits versatility, but increases the performance.
Performance is an important issue, as it is intended to use the tutorial across the web.
As such, the piece has been broken into 10 subsections, which are integral units. In a web based scenario, the web client can be loading the next subsection, while the user is working on the current sub section. Creating an Authorware piece does not require the same computing rigor as a true programming language. Variables should however be used to provide more efficient re-usable visual coding elements. Interactivity is good, but requires a good initial design and use of appropriate human computer interaction guidelines.