The book is written in the framework of a European collaborative
research programme, Learning in Humans and Machines, funded by the
European Science Foundation. The book's purpose is to collect
papers on learning declarative knowledge and problem solving skills
that involve multiple representations such as verbal, graphical and
mathematical representations, knowledge at different levels of
abstraction (e.g. qualitative and quantitative, specific cases or
general models). One of the goals of the research programme is to
demonstrate existing and to initiate new collaboration between
educational sciences, psychology and machine learning.
The first aim of this book is to give an overview of the state of
the art of the topic of learning involving different
representations in the form of overview chapters. The book covers
approaches to this topic from different perspectives: educational,
cognitive modelling and machine learning. It includes both
theoretical analyses and studies in application contexts. The
second aim of the book is to present current research on these
topics and to articulate research issues for future research. This
is done in the form of a collection of research papers and two
reflective chapters.
General
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