Implications for Learning Analytics Tools: A Meta-Analysis of Applied Research Questions

Authors

  • Anna L. Dyckhoff Computer Supported Learning Group and Center for Innovative Learning Technologies, RWTH Aachen University

Keywords:

Technology-Enhanced Learning, Higher Education, Learning Analytics, Educational Data Mining, Requirements Analysis, Improving Teacher Support

Abstract

Educators are in need for powerful Learning Analytics tools in order to improve the effectiveness of their courses and to enhance the performance of their students. In order to design such tools, knowledge about teachers‟ interests and research activities is required. In this paper, we present the results of a meta-analysis of case studies described in the conference proceedings of the approved German eLearning conference “Deutsche eLearning Fachtagung Informatik” (DeLFI). By answering the following two questions: „What research questions are teachers asking for improving Technology-Enhanced Learning?‟ and „Which methods do teachers apply to answer their research questions?‟, our aim is to help TEL researchers generate indicators which can be used as a basis for Learning Analytics tools.

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Published

2011-07-01

How to Cite

Anna L. Dyckhoff. (2011). Implications for Learning Analytics Tools: A Meta-Analysis of Applied Research Questions. International Journal of Computer Information Systems and Industrial Management Applications, 3, 8. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/141

Issue

Section

Original Articles