Active Learning in Data Science Education

• Published in: 2018 16th International Conference on Emerging ELearning Technologies and Applications (ICETA) pp. 285 - 290
• Main Authors: Konkolova, V., Paralic, J.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2018
• Subjects: Data science; Education; Knowledge discovery; Learning systems; Prototypes; Task analysis; Visualization
• DOI: 10.1109/ICETA.2018.8572219

This article about Active learning in data science education deals with methods and tools to support active learning of data science, in particular within the Knowledge Discovery subject at the Technical University of Kosice, Slovakia. One of the results of the work presented in this article is an implemented web application to support active learning in data science. The article involves a brief overview of the methods supporting the active learning which may be used also for teaching data science. The final web application which was proposed and tested by the users, was created by RShiny application. The supporting application is helpful mainly for the students as an interactive mean of active learning in data science. The result of the article is available and it was applied in practice. This work contributes to the effective learning of the users (learners) as well as it contributes to better understanding, comprehension and application of the acquired knowledge and experiences of the students in practice by means of active learning.