DIGITAL LIBRARY
DATA ANALYTICS EXPERIENCE: FINDING EQUILIBRIUM BETWEEN SURVEYS, EVALUATION AND MODELING
1 KYBERTEC, s.r.o. (CZECH REPUBLIC)
2 Atos IT Solutions and Services, s.r.o. (SLOVAKIA)
3 Faculty of Electrical Engineering at CTU in Prague (CZECH REPUBLIC)
About this paper:
Appears in: EDULEARN19 Proceedings
Publication year: 2019
Pages: 6972-6980
ISBN: 978-84-09-12031-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2019.1676
Conference name: 11th International Conference on Education and New Learning Technologies
Dates: 1-3 July, 2019
Location: Palma, Spain
Abstract:
Proliferation of complex educational platforms with different modern teaching approaches brings new challenges for evaluation of the effectivity of learning process.

Big amount of research work has been done in the area of preparation, collecting and evaluation, targeting different aspects of data analytics.

However, less research work provides a complete overview of the specific situation within a new educational platform with data analytics, including the management and analysis of feedback from students to teachers. The development in this field is driven by new technical approaches like virtual labs, gamification, mulsemedia, a new level of multimedia. This situation brings some new challenges and opportunities, eventually useful for our close future too. Almost any new view can be helpful in this promising research directions. To serve this purpose, we would like to present the survey, conducting a brief overview of experience with new educational platform and evaluation of its effectivity. Our survey also targets the gap between technical frameworks solution for learning and process evaluating its effectivity. Presented material also aims to review strengths and limitations of actually existing methods, from the point of view of the potential future directions for such a survey data analytics, with the data modeling based on surveys included.

Last but not least explanatory power limitations determined by the number and/or distribution of respondents are described. To the best of our knowledge, this survey described selected effective techniques for data analyzing in this era of new e-learning platforms.
Keywords:
Data analysis, pedagogical platform, surveys, e-learning, statistical evaluation, learning feedback, modern learning methods, Newtelp.