A Model of Adaptive Expertise
One model of adaptive expertise looks at two dimensions along which a learner may develop: efficiency and innovation. Classic experts are defined as being efficient when solving problems that are routine. When presented with a problem that is not routine, or when transferring into a different situation, the adaptive expert may innovate.
Schwartz, Bransford and Sears have graphically illustrated these two dimensions of expertise. On the horizontal axis, they plot efficiency of problem solving, and on the vertical axis they plot ability to innovate. In this graph, they identify four important regions: Novice (low efficiency, low innovation), Routine Expert (high efficiency, low innovation), Frustrated or Annoying Novice (low efficiency and high innovation), and Adaptive Expert (high efficiency and high innovation). As originally presented, this graph is intended as a starting point for understanding how educators should guide students' learning and trajectory to adaptive expertise. Schwartz and colleagues suggest that the trajectory, and therefore instruction, should aim for a balance of innovation and efficiency. This work is highly related to their theories of Transfer of Learning and research on instruction that supports transfer and trajectories to adaptive expertise.
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