Bayesian networks offer an approach that scales up from familiar assessment designs and purposes to the wide array of new kinds of assessments made possible by advances in technology, cognitive psychology, and learning sciences. The previous chapters laid out the graphical, statistical, and assessment design foundations for assessment accordingly. This final chapter offers thoughts and provides pointers to topics that lay beyond the scope of the book. They include a quick look at various applications in educational assessment, developments in Bayesian networks that should find uses in assessment, integrating assessment with instruction with dynamic Bayesian networks.
CITATION STYLE
Almond, R. G., Mislevy, R. J., Steinberg, L. S., Yan, D., & Williamson, D. M. (2015). The Future of Bayesian Networks in Educational Assessment (pp. 583–599). https://doi.org/10.1007/978-1-4939-2125-6_16
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