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"Automated scoring engines [...] require a careful balancing of the
contributions of technology, NLP, psychometrics, artificial
intelligence, and the learning sciences. The present handbook is
evidence that the theories, methodologies, and underlying
technology that surround automated scoring have reached maturity,
and that there is a growing acceptance of these technologies among
experts and the public." From the Foreword by Alina von Davier,
ACTNext Senior Vice President Handbook of Automated Scoring: Theory
into Practice provides a scientifically grounded overview of the
key research efforts required to move automated scoring systems
into operational practice. It examines the field of automated
scoring from the viewpoint of related scientific fields serving as
its foundation, the latest developments of computational
methodologies utilized in automated scoring, and several
large-scale real-world applications of automated scoring for
complex learning and assessment systems. The book is organized into
three parts that cover (1) theoretical foundations, (2) operational
methodologies, and (3) practical illustrations, each with a
commentary. In addition, the handbook includes an introduction and
synthesis chapter as well as a cross-chapter glossary.
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