Research on learning via system-dynamics-based learning environments depends on good measurement of learning. Most such research considers at least two aspects of learning, the participants’ understanding of the models and problems, and the partici-pants' performance in the environment, e.g., quality of decision making. The former, understanding, is much more difficult to measure than the latter, performance. Meas-urement of understanding is often done by eliciting verbal protocols from participants about the problem situation (i.e., the underlying model) and their planned solution strat-egy (i.e., decisions). Coding and analysis of participants’ verbal protocols is very sub-jective and time-consuming. To facilitate measurement and analysis of understanding via verbal protocols, we investigate the utility of a software application which performs such analysis automatically. We assess this automated analysis methodology using data from two different system-dynamics-based learning environments, including how par-ticipants’ understanding compares to experts, how it changes over time, and how it cor-relates with performance.

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Date created

• 2010 July 25-2010 July 29

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• Document

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• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

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• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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17bfad39e1d09bfe17f82d7ae001449f

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23d738ba88f8333bc39725f9cb5bd0b8

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516b485dacfb3c26da448243f0948912

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Collection

System Dynamic Society Records

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Collecting area

• This collection is part of the University Archives