Is the Engineering Education Community Becoming More Interdisciplinary?

Radcliffe, David; Yu, Jeffrey W.; Nawaz, Sadia; Luo, Yi; Choi, Jea H.

doi:10.18260/1-2--21621

Cited by 4 publications

(2 citation statements)

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“…In addition to the human-curated studies mentioned above, recent developments in big-data analysis have led to a growing number of machine-curated bibliometric studies [12,13] which demonstrate the potential of computational analysis in the field of EER. The big data analysis confirmed the presence of silos [13].…”

Section: A Previous Work Using Bibliometric Analysismentioning

confidence: 99%

Taking a Snapshot: Four Bibliometric Indicators to Track Engineering Education Research Evolution

Williams

Neto

Wankat³

2014

Int. J. Eng. Ped.

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In recent years, as engineering education research has evolved as an area of study, questions of its disciplinary status, global reach and diffusion of educational innovation have been raised. Bibliometric analysis, mainly employing author affiliation data and citation analysis, has been shown to be effective in gathering relevant data on these issues. In this paper we broaden the scope of previous analyses by introducing reference discipline as an indicator. Our study presents data on 169 articles published in seven EER journals in 2011 based on the use of four indicators: citation analysis, reference discipline, author geographical location and author disciplinary field data. In addition, to demonstrate the value of this approach in establishing benchmarks for longitudinal research, we compare the citation analysis data for the 7 journals in 2011 with a similar sample from the same journals in 2009. The portrait that emerges is rich and complex one and it shows the existence of some silos - disciplinary silos and to a lesser extent geographical silos.

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