원문정보
초록
영어
The necessity of data science education that experiences the problem-solving process by combining information discovered from data with varied expertise is necessary to develop digital talents with the knowledge and capabilities required by the 21st-century society. This study examines a creative teachinglearning strategy that connects data science to ICT main programs and suggests an efficient data science education plan within the industrial framework of intelligent information technology. An extended data science education system that makes use of convergent problem-solving skills in the ICT curriculum was described in this research along with the implications of data-based science education. We proposed a strategy to implement and activate the design of data science education policies based on statistics and mathematics in order to enhance the effective insight of data. And also, we suggested the continuous data education management system was diagnosed, and new approaches, to improve the management of academic accomplishment in data-based science. With out research results, we would certainly boost national scientific and technology competitiveness as well as academic excellence in data science.
목차
1. Introduction
2. Data science using curriculum convergence education
2.1. Data education in ICT curriculum
2.2. Data science using convergent problem-solving skills
2.3. Core competencies of data science in ICT curriculum
3. Development of convergence-based data science class model
3.1. Proposal of designing data science curriculum using convergence education
3.2. Interdisciplinary convergence model of data science in ICT curriculum
4. Values and attitudes of data science
5. Conclusions
Acknowledgement
References
