Applying Bibliometric Techniques: Studying Interdisciplinarity in Higher Education Curriculum

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2022
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American English
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Computation
Abstract

Bibliometric methods are relevant for a range of applications and disciplines. The majority of existing scholarship investigating citation and reference patterns focuses on studying research impact. This article presents a new approach to studying the curriculum using bibliometric methods. Through a review of existing definitions and measures of interdisciplinary research and standardization procedures for comparing disciplinary citations, three measures were considered: variety, balance and dissimilarity. Bibliometric algorithms for assessing these measures were adopted and modified for a curriculum context, and three interdisciplinary programs were investigated that span undergraduate and graduate degrees. Data objects were course syllabi, and required references were coded for disciplinary affiliations. The results indicated that—despite purportedly pursuing a singular goal in the same academic unit—the programs employed distinct citation patterns. Variety was highest in the master’s program, and balance was highest in the doctoral program. Dissimilarity was highest in the doctoral program, yet a novel technique for disambiguating disciplinary composition was implemented to improve interpretation. The analysis yielded unexpected findings, which underscore the value of a systematic approach in advancing beyond discourse by harnessing bibliometric techniques to reveal underlying curricula structure. This study contributed a well-grounded bibliometric method that can be replicated in future studies.

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Herzog, Patricia Snell, Jin Ai, and Julia Ashton. 2022. “Applying Bibliometric Techniques: Studying Interdisciplinarity in Higher Education Curriculum.” Computation, 10(2): 26. doi: 10.3390/computation10020026.
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IU Indianapolis Open Access Fund
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