Bransford et al. present a sound philosophical argument for the convergence of these 3 strands of research. The field of educational research, as a whole, has been shifting towards a holistic integration of multiple approaches such as behavioral-cognitivism, social-constructivism, and more recently, neurocognition/neuroscience. While these recent shifts reflect more of a philosophical “transformation” that begins with a reconception of the way researchers define and measure “learning”– moving away from knowledge acquisition towards becoming knowledge “workers”– the major transformation that will significantly alter the training and practice of educational research is unlikely to occur until the field develops instruments of assessments and analyses that capture the metacognitive and innovation dimensions of learning. Currently, most of the research funding is based on standardized assessment outcomes– outcomes that measure the efficiency dimension of expertise development/knowledge acquisition (Bransford et al, 2006, p. 26). Once the field fully articulates the distinction between “adaptive expertise” and “routine expertise”, we may see a transformation in the way researchers/educators design and analyze their studies/learning environments to integrate these 3 major strands. Major paradigm shifts occur when previous paradigms are disrupted or are revealed to be obsolete. To that end, the next step is to articulate a cohesive model/framework that positions “adaptive expertise” as a distinct and superior standard of learning from “routine expertise”.
Your point about the need for new measures of learning really got me thinking. I’ve always thought of the use of standardized tests as a problem positioned in educational policy and not research. It affected research via its connection to funding, as you point out, but I thought that was the extent of it. Based on your post, I’m now thinking about all the studies that use standardized tests at the measure of learning (e.g., lots of studies about the effectiveness of Standards-based mathematics curriculum materials do this). Now I’m wondering why. It is because it’s the kind of evidence funders want? Is it because the data is easy to get? Or is it because better measures of learning – learning, not achievement – don’t exist?
Very interesting take on what it might mean, and what steps might need to be taken, for adaptive expertise to replace routine expertise as the major paradigm in formal schooling. It is true that many times instruction follows assessment. That is, the style and construction of an assessment will determine the content of the curriculum which is delivered. Generally, the goal of curriculum is to prepare the student to succeed on an assessment of some sort. Currently, standardized tests (efficiency assessments) are the dominant form of assessment for most students; and therefore knowledge related to routine expertise is what is tested and taught. It seems that if researchers are able to construct assessments which reliably and accurately measure adaptive expertise, it is more likely that these skills will be taught.
Hi Katie, paint me a cynic but I do believe that standardized testing practices wield a great deal of influence over the types of research that get funded and used to inform policies. I believe that standardized tests are popular for both of the reasons you’ve mentioned: the data is easy to obtain and easy to understand, and better measures of learning are being developed/have been developed but they require more technology and resources to implement.
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