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This book presents a challenging and multi-faceted research project
that required state-of-the-art methodological approaches. The
project involved analyzing data collected from 10,000 research
articles published in ten leading journals in the area of
educational technology over 20 years, from January 1994 to December
2014; advanced analytic approaches such as latent semantic
analysis; and expert insights and interpretations of the subject
matter. It captures the trends in a number of research streams
within the discipline of educational technology and identifies the
point in time when a massive change took place. This is a
significant achievement given that, in epistemology and philosophy
of science, there have always been discussions of paradigm shifts,
but researchers have always identified them qualitatively. This is
the first work to identify a paradigm shift using rigorous
quantitative methods. The analysis procedure involved big data and
sophisticated analysis, which supported the identification of
clusters at several breakpoints from which the richest set was
selected in order to provide the most detailed analysis. This
comprehensive analysis also shows what has been published and by
whom in those ten top-tier journals. This work makes a highly
significant contribution to the field of learning technologies and
provides the groundwork and a significant data source for other
scholars, both new and experienced, to build on and expand in their
work.
This book presents a challenging and multi-faceted research project
that required state-of-the-art methodological approaches. The
project involved analyzing data collected from 10,000 research
articles published in ten leading journals in the area of
educational technology over 20 years, from January 1994 to December
2014; advanced analytic approaches such as latent semantic
analysis; and expert insights and interpretations of the subject
matter. It captures the trends in a number of research streams
within the discipline of educational technology and identifies the
point in time when a massive change took place. This is a
significant achievement given that, in epistemology and philosophy
of science, there have always been discussions of paradigm shifts,
but researchers have always identified them qualitatively. This is
the first work to identify a paradigm shift using rigorous
quantitative methods. The analysis procedure involved big data and
sophisticated analysis, which supported the identification of
clusters at several breakpoints from which the richest set was
selected in order to provide the most detailed analysis. This
comprehensive analysis also shows what has been published and by
whom in those ten top-tier journals. This work makes a highly
significant contribution to the field of learning technologies and
provides the groundwork and a significant data source for other
scholars, both new and experienced, to build on and expand in their
work.
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