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I__. - International Military Testing Association

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lesson templates. Intelligent lesson templates have preestablished<br />

instructional parameters and are executable upon<br />

input of informational content by a subject matter expert. In a<br />

sense, intelligent lesson templates l'know how" to present the<br />

kind of instruction they contain. Experienced instructors can<br />

alter the instructional parameters in order to customize<br />

instruction. The most noteworthy intelligent lesson templates<br />

are Merrill's transaction shells (Merrill et al., 1990).<br />

AFHRL and Merrill signed a Memorandum of Agreement wherein<br />

Merrill loaned two transaction shells to AFHRL for purposes of<br />

evaluation. AFHRL is using these transaction shells to develop a _<br />

model of CBI authoring interactions that affect the productivity<br />

and the quality of developed CBI courseware.<br />

Methodology<br />

The purpose of the initial evaluation study of Merrill's<br />

transaction shells was to develop a working model of user<br />

interactions with instructional design software. In addition to<br />

determining if Merrill's transaction shells with particular user<br />

interfaces were worthy of refinement and continued development,<br />

the aim was to establish an initial model with relevant<br />

characteristics that predict user success with other authoring<br />

environments.<br />

The answer to the question about the value of using<br />

transaction shell technology is that transaction shell technology<br />

appears to provide a very usable and productive courseware<br />

authoring environment. Details are elaborated in subsequent<br />

sections of this report.<br />

The primary question, however, concerned the establishment<br />

of a model of courseware authoring interactions that would<br />

influence the productivity and quality of a CBI authoring<br />

environment. Because all of the relevant characteristics were<br />

not known ahead of time, an approach that allowed iterative<br />

refinement of a quantifiable and predictive model was required.<br />

Falk's soft modeling technique satisfied this requirement and was<br />

used to guide the design of the study (Falk, 1987).<br />

The initial phase of developing a soft model consists of<br />

identifying inputs, processes, and outputs that are relevant to<br />

the task being modelled. Weighted links between input and<br />

process measurements and output measurements are then<br />

hypothesized. Additional subjects are then tested using the<br />

proposed tentative model. The model and its associated measures<br />

and weights are modified to reflect the outcome of new subjects.<br />

New input, process, or output measurements may be added as deemed<br />

necessary in the model development phase. Over time, the model<br />

stabilizes and can be used as a predictive or analytical tool.<br />

Initial input measures for this soft model included the<br />

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