A Literature Review on the Indicators for the Measurement of Technology Mediated Learning Productivity
Author(s) -
Philipp Bitzer,
Katja Lehmann,
Jan Marco Leimeister
Publication year - 2012
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2475886
Subject(s) - productivity , knowledge management , computer science , management science , structural equation modeling , data science , psychology , engineering , economics , machine learning , macroeconomics
Measuring Technology Mediated Learning (TML) success has been and is of great interest to both researchers and practitioners. This article examines multidimensional approaches to measuring learning success, considering IT- and non-IT-supported learning scenarios, examined by researchers from various research disciplines. We explore the current state of research on TML success through a literature review by classifying empirically-oriented articles that were published between 2000 and 2011. Based on a total of 91 articles published in academic journal publications, this paper identifies the relevant research carried out, categorizes and consolidates the research results, and discusses them. The results show that those approaches are most dominant which empirically analyze the impact of a certain type of educational service on a student/participant by means of surveys and structural equation modeling to capture users’ responses. No main theoretical basis of the reviewed studies could be identified. Furthermore, opportunities for additional development are identified and future research directions suggested.
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