e-Analytics for e-Learning
Dafinka Miteva,
Krassen Stefanov and
Eliza Stefanova
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Dafinka Miteva: Sofia University, Faculty of Mathematics and Informatics, Sofia, Bulgaria
Krassen Stefanov: Sofia University, Faculty of Mathematics and Informatics, Sofia, Bulgaria
Eliza Stefanova: Sofia University, Faculty of Mathematics and Informatics, Sofia, Bulgaria
International Journal of Human Capital and Information Technology Professionals (IJHCITP), 2017, vol. 8, issue 4, 1-13
Abstract:
Nowadays education is inconceivable without the use of e-environment and all the benefits it can ensure. Modern learning systems are featured with a wide range of resources for gathering relevant user traces for data analysis. The main goal of the research described in this paper is to explore how the learning analytics methods can be used to improve the results of e-Learning. The novel method for cross-system data collection is accomplished in a newly designed database/system e-Analytics. Using the data collected, various analyses and reports are presented and discussed, aiming to disclose important learner's behaviors and regularities during the educational process. Recommendations are made for further improvements of the teaching and learning process. The paper concludes by enumerating some challenges and further works for creating effective Learning Analytics tools.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jhcitp:v:8:y:2017:i:4:p:1-13
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