Quantitative Evaluation of University Lecturing

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)

Abstract

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.

Keywords

E-learning Quantitative evaluation of lecturing Quality of blended learning 

References

  1. 1.
    Macfadyen, L.P., Dawson, S.: Mining LMS data to develop an “early warning system” for educators: a proof of concept. Comput. Educ. 54(2), 588–599 (2010)CrossRefGoogle Scholar
  2. 2.
    Wu, J.H., Tennyson, R.D., Hsia, T.L.: A study of student satisfaction in a blended e-learning system environment. Comput. Educ. 55(1), 155–164 (2010)CrossRefGoogle Scholar
  3. 3.
    Dietinger, T., Maurer, H.: GENTLE – general network training and learning environment. In: Proceedings of ED-MEDIA 1998/ED-TELECOM 1998, Freiburg, pp. 274–280 (1998)Google Scholar
  4. 4.
    Ebner, M., Scerbakov, N., Maurer, H.: New features for eLearning in higher education for civil engineering. J. Univ. Sci. Technol. Learn. 1(1), 93–106 (2006)Google Scholar
  5. 5.
    Schaffert, S.: Strategic Integration of Open Educational Resources in Higher Education. Objectives, Case Studies, and the Impact of Web 2.0 on Universities (2010)Google Scholar
  6. 6.
    Scerbakov, A., Ebner, M., Scerbakov, N.: Using cloud services in a modern learning management system. J. Comput. Inf. Technol. 23(1), 75–86 (2015)CrossRefGoogle Scholar
  7. 7.
    Scerbakov, N.: TU Graz Teach-Center (2001). http://coronet-iicm.tugraz.at/wbtmaster/welcome.html. Accessed 13 Apr 2017

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

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

Personalised recommendations