Abstract

데이터의 급속한 증가로 데이터를 활용한 새로운 가치 창출은 기업뿐 아니라 국가 경쟁력의 중요한 요소로 대두대고 있다. 이에 따라 데이터를 분석하여 통찰력을 제시할 수 있는 데이터 과학자라 불리는 분석 전문가의 수요가 늘고 있는데, 이들 전문 인력 양성을 위해서는 정부, 학계, 산업의 공동 노력이 필요하다. 본 연구는 특히 교육 분야에서의 빅데이터 활용현황을 조사하고, 새로운 데이터 기반의 맞춤형 서비스 및 교육 과정을 제안한다. 또한, 데이터 과학자 양성을 위한 국내외 대학 및 기업의 대표적인 프로그램들을 살펴보고, 장기적인 관점에서 분석능력을 배양할 수 있는 새로운 교과과정도 제시한다. 본 연구는 다양한 사례를 바탕으로 대학에서 데이터를 활용한 교육환경 개선을 위한 방안을 모색하는데 도움을 주고자 한다. Massive increases in data available to an organization are creating a new opportunity for competitive advantage. In this era of big data, developing analytics capabilities, therefore, becomes critical to take advantage of internal and external data and gain insights for data-driven decision making. However, the use of data in education is in its infancy, in comparison with business and government, and the potential for data analytics to impact education services is growing. In this paper, I survey how universities are currently using education data to improve students' performance and administrative efficiency, and propose new ways of extending the current use. In addition, with the so-called data scientist shortage, universities should be able to train professionals with data analytics skills. This paper discusses which skills are valuable to data scientists and introduces various training and certification programs offered by universities and industry. I finally conclude the paper by exploring new curriculums where students, by themselves, can learn how to find and use relevant data even in any courses.

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