An exploratory teaching program in big data analysis for undergraduate students


EKEN S.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, vol.11, no.10, pp.4285-4304, 2020 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 11 Issue: 10
  • Publication Date: 2020
  • Doi Number: 10.1007/s12652-020-02447-4
  • Title of Journal : JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
  • Page Numbers: pp.4285-4304

Abstract

Many of the world's biggest discoveries and decisions in science, technology, business, medicine, politics, and society as a whole, are now being made on the basis of analyzing massive datasets. In this paper, exploratory teaching program is proposed. It provides a broad and practical introduction to big data analysis. This exploratory teaching program was designed and given in Department of Computer Engineering at Kocaeli University in the spring semester of 2018-2019. To assess the educational program's impact on the learning process and to evaluate the acceptance and satisfaction level of students, they answered a questionnaire after finishing the program. According to students' feedback, the exploratory teaching program is useful for learning how to analyze large datasets and identify patterns that will improve any company's and organization decision-making process.