Quantitative Evaluation of University Lecturing

  • Frank Kappe
  • Nikolai Scerbakov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)


In this paper we present a method for evaluating the quality of university lectures. The method is based on an analysis of students’ behavior during working with online materials after visiting the classroom lectures or viewing prerecorded lectures. The students’ behavior is monitored via analysis of Log files, and via special extensions of e-book readers and online movie viewers. All the data are recorded on a web site. The gathered data is analyzed to draw conclusions about the quality of lecturing.


E-learning Quantitative evaluation of lecturing Quality of blended learning 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Institute of Interactive Systems and Data ScienceGraz University of TechnologyGrazAustria

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