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A Case Study of Taiwan - AI Talent Cultivation Strategies

  • Hsiao-Chien TsengEmail author
  • Tzu-Hui Chiang
  • Hsiang-Jen Chung
  • Chung-Han Yeh
  • I-Chang Tsai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11937)

Abstract

This study created the “Challenges from the Industry X Solutions from Talents” mechanism, which emphasizes learning from doing instead of traditional talent cultivation modes by aligning artificial intelligence (AI) talents with critical problems of enterprises. The problem-solving process begins with industry AI demands. This paper design a platform, AIGO, aiming to cultivate AI talents, and enabling them to solve real-world industrial problems. The platform is composed of competition, learning and community.

Keywords

Artificial intelligence Talent cultivation Industry 

Notes

Acknowledgment

This work is supported through the AI Talent Training Program Project of the Institute for Information Industry, subsidized by the Industrial Development Bureau, Ministry of Economic Affairs of the Republic of China.

References

  1. 1.
    Gagne, J.F., Kiser, G., Mantha, Y.: Global AI talent report (2019). https://jfgagne.ai/talent-2019/. Accessed 26 June 2019
  2. 2.
    Ng, A.: AI Transformation Playbook (2018). https://landing.ai/ai-transformation-playbook/. Accessed 26 June 2019
  3. 3.
    Tsai, I.C., Liao, C.H., Wu, H.J., Yeh, C.H.: An innovative hybrid model for developing cross domain ICT talent in digital economy. In: IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), pp. 745–750 (2018)Google Scholar
  4. 4.
    Larson, J.S., Farnsworth, K., Folkestad, L.S., Tirkolaei, H.K., Glazewski, K., Savenye, W.: Using problem-based learning to enable application of foundation engineering knowledge in a real-world problem. In: IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), pp. 500–506 (2018)Google Scholar
  5. 5.
    Mustaffa, N., Said, M.N.H.M., Ismail, Z., Tasir, Z.: Framework of integrating algebraic thinking in problem-based learning via online environment for school students. In: IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), pp. 372–378 (2018)Google Scholar
  6. 6.
    Dewey, J.: How We Think. Health & Co., Boston (1910)CrossRefGoogle Scholar
  7. 7.
    Gorghiu, G., Drăghicescu, L., Cristeda, S., Petrescu, A.-M., Gorghiu, L.: Problem-based learning - an efficient learning strategy in the science lessons contex. Procedia Soc. Behav. Sci. 191, 1865–1870 (2015)CrossRefGoogle Scholar
  8. 8.
    Akrawi, N.K.: Bridging the gap between learning and teaching by using knowledge-based systems. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences, vol. 72 (2011)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Hsiao-Chien Tseng
    • 1
    Email author
  • Tzu-Hui Chiang
    • 1
  • Hsiang-Jen Chung
    • 1
  • Chung-Han Yeh
    • 1
  • I-Chang Tsai
    • 1
  1. 1.Digital Education InstituteInstitute for Information IndustryTaipeiTaiwan

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