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Constructive Knowledge Acquisition - A Computational Model and Experimental Evaluation (Hardcover)
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Constructive Knowledge Acquisition - A Computational Model and Experimental Evaluation (Hardcover)
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A cognitive psychology which becomes increasingly specialized
requires a special effort in order to avoid a fragmentation into
several controversial issues that are independently discussed but
also inherently related. Rather than asking additional
differentiated questions which are then investigated by more
specialized experimental methods and designs, this book promotes
unified theories and a levels approach for their experimental
evaluation. Within this cognitive science approach and on the basis
of the most foundational assumptions of Kintsch's construction
integration theory, a computational theory of knowledge acquisition
is then developed and subsequently evaluated by psychological
experiments.
For forty years, computer simulation techniques and experimental
psychology research have greatly matured the understanding of human
knowledge and its acquisition in different learning environments.
This volume critically assesses the advantages and limitations of
these approaches and then develops an integrated research
methodology. It goes on to provide significant progress concerning
the following questions:
* What are the most promising research methodologies for
investigating human cognition?
* How can the experimental psychology research on text
comprehension, concept formation, and memory become more closely
related to one another when the very specialized research paradigms
and the highly specific scientific controversies promote their
separation and independent discussion?
* How can a general comprehension-based theory bridge the gap
between simple experimental settings and the real-life situations
that occur in education and work environments?
This book demonstrates how experimental psychology can proceed
more successfully by investigating those aspects that are shared
among different areas of research like text comprehension,
categorization, and learning by exploration. It also shows how
unified theories can assist in applying experimental psychology and
cognitive science results to areas such as intelligent tutoring
systems, instructional design, and the development of expert
systems in complex real world domains.
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