Literaturanalyse mit Text Mining

Authors

  • Frank Bensberg Hochschule Osnabrück
  • Gunnar Auth Hochschule für Telekommunikation Leipzig (HfTL)
  • Christian Czarnecki Hochschule Hamm-Lippstadt

Keywords:

Data Literacy, Datenkompetenzen, Digital Competences, Literaturanalyse, Literature Analysis, Literature Review, Literaturrecherche, Scientific Work, Text Analytics, e-learning, text mining, wissenschaftliches Arbeiten

Abstract

Performing a systematic literature search is a central competence of scientific work and forms an integral part of current Bachelor’s and Master’s degree courses. In corresponding courses, students get familiarised with the basic tools for searching and managing literature, but the potentials of text analytical methods and application systems (text mining, text analytics) are usually not covered. As a result, the digital competencies required for system-supported analysis and processing of literature data are not sufficiently developed. In order to address this competence gap, an adequate course has been developed at Osnabrück University of Applied Sciences and implemented as part of a project-oriented study format. This article documents the professional and technical design of this course and shows potential for future development.

Published

2019-04-24

Issue

Section

Project reports

URN