Earticle

초록

영어

With the technology breakthrough called Deep Learning triggered, discussions about the fear of “techno unemployment” that is deprived of employment by AI and robots got into full swing. For example, according to a joint research between Nomura Research Institute and Oxford University, Japan suggested that 49% of employment is likely to be replaced with AI or robots within the next 15 to 20 years. There is also a view that the innovation of AI, IoT and robotics will bring forth the Fourth Industrial Revolution, while increasing labor savings will create new employment needs. The Ministry of Economy, Trade and Industry with this idea gathered experts and repeated discussions on the Fourth Industrial Revolution and compiled a report titled "New Industrial Structure Vision" in May this year. The report depicts the strategy and roadmap for Japan to successfully ride the wave of the Fourth Industrial Revolution and achieve economic growth. It also shows the direction of education and human resource development accompanying labor migration to human resources development and growth fields in response to the change in employment structure accompanying the Fourth Industrial Revolution. Its pivot is to revolutionize the way of education and human resource development radically to bring up talented persons who create new business. Specifically, it is to develop the following three together; (1)Human resources development at the top tier, (2)Raising of middle-skill human resources through university education and working adults training, (3)Fostering basic qualities and abilities at primary and secondary education. The third (primary and secondary education) means nurturing qualities and abilities in anticipation of a society that is entering the Fourth Industrial Revolution. The concrete direction is as follows; (1)Fostering qualities and abilities such as ability to master information, data and IT for creative problem discovery and resolution, ability to work with diverse people, sensitivity and leadership, motivation to challenge. (2)Improvement of learning about understanding of significance of algorithms, programming, analysis based on data.

저자

• Dr. Yuji TANIGUCHI [ National Polytechnic University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국직업자격학회 학술대회

• 간기

  반년간

• 수록기간

  2015~2022

• 십진분류

  KDC 336 DDC 360