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Proceedings of the Fourth Annual Teachers College Educational ...

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Learning Science Systems with Graphic Computer Simulations<br />

Na Li, Mengzi Gao, Ha<strong>of</strong>ei Shen, Yuyang Guo, Daniel Lee,<br />

<strong>Teachers</strong> <strong>College</strong>, Columbia University, 525 W. 120 th street, New York, 10027<br />

Email: nl2284@tc.columbia.edu, mg3220@tc.columbia.edu, hs2670@tc.columbia.edu,<br />

yg2282@tc.columbia.edu, dyl2119@tc.columbia.edu<br />

Abstract: Graphic computer simulations have great advantages in teaching abstract<br />

system concepts. Instructional scaffolding is very essential for learners to benefit from<br />

<strong>the</strong>se simulation-based learning environments. In this project, multiple simulation models<br />

at different abstract levels are designed as learning materials teaching three ideal gas<br />

laws (a chemical system). 36 adult learners without strong background in science<br />

participated in a pilot study; 10 middle school students from a public school in NYC<br />

participated in <strong>the</strong> usability testing study; and 58 middle school students from a public<br />

school in NYC participated in our current study. Data from preliminary research show that<br />

a top-down function-centered scaffolding strategy could produce better learning<br />

performance than a bottom-up structure-centered scaffolding strategy; and learning tasks<br />

encouraging learners to model system causality can be very effective under <strong>the</strong> functioncentered<br />

scaffolding condition, but not under <strong>the</strong> structure-centered scaffolding condition.<br />

Research Background<br />

Studies have demonstrated that systems learning goes through several sequential stages before learners<br />

are able to grasp a network <strong>of</strong> mechanics-function relations (e.g.,Assaraf & Orion, 2005). Explaining<br />

mechanism and causality is usually difficult for learners especially when <strong>the</strong> systems have hierarchical<br />

levels (Duncan & Reiser, 2007). Computational modeling and visualizing technology makes it possible to<br />

show <strong>the</strong> invisible lower-level mechanism <strong>of</strong> systems, and allows inquiry-based instructional design<br />

(Wilensky& Resnick, 1999). One important pedagogical implication from <strong>the</strong>se studies is to provide<br />

hierarchical instructional scaffolding in <strong>the</strong> learning process and help learners iteratively modify <strong>the</strong>ir<br />

conceptual representations <strong>of</strong> a system (Liu & Hmelo, 2009).<br />

Instrument<br />

A computer simulation environment with three simulation models has been designed for this research<br />

project. The first simulation model is realistic visualizations <strong>of</strong> three ideal gas law phenomena. The<br />

second simulation is a gas molecular activity model which is more abstract, with which learners are able<br />

to conduct virtual experiments to test hypo<strong>the</strong>ses (one example, see Figure 1). The third simulation is an<br />

abstract flowchart model which <strong>the</strong> learners use to model causality and explain <strong>the</strong> mechanism <strong>of</strong> <strong>the</strong><br />

system (see Figure 2). These three simulations demonstrate <strong>the</strong> system function and mechanism at<br />

different abstract levels. Some techniques are used to reduce cognitive load and scaffold information<br />

integration a). Simulations can set to be displayed on separate pages or on <strong>the</strong> same page in any<br />

combination. If two simulations are displayed on <strong>the</strong> same page, <strong>the</strong>y are dynamically linked which<br />

means as <strong>the</strong> learner interact with one simulation, <strong>the</strong> o<strong>the</strong>r changes accordingly. b). The realistic<br />

simulation and <strong>the</strong> gas molecular activity simulation are functionally and structurally mapped, so it’s very<br />

easy for <strong>the</strong> learners to compare two models for cross-level reasoning.<br />

Figure 1: A concrete representation <strong>of</strong> ideal gas law phenomena & a more abstract molecular<br />

activity model.<br />

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