Author(s)

Yanxi Wei ¹

Affiliation(s)

¹ School of Artificial Intelligence, Xi'an Aeronautical Polytechnic Institute, Xi'an, Shannxi, 710089, China

Corresponding Author

Yanxi Wei

ABSTRACT

Vocational education reform has entered a critical period, and the impact of artificial intelligence on vocational education is also deepening. This paper mainly studies the training and path analysis of artificial intelligence talents in vocational colleges. This paper first analyzes the current situation of talent training in Vocational Colleges under the background of artificial intelligence education, mainly as follows: lack of diversity, lack of foresight, neglect of subjectivity, neglect of process. Then, this paper investigates the artificial intelligence talent training of vocational college students through questionnaire survey. Through the results of the questionnaire survey, we can know that students are satisfied with the current situation of artificial intelligence talent training and construction, but there is still room for improvement, and we expect to continue to improve the quality and level of undergraduate construction. Based on the results of the questionnaire survey, this paper puts forward the reform mode of artificial intelligence talent training path.

KEYWORDS

Vocational Colleges, Artificial Intelligence, Talent Training, Questionnaire Survey

CITE THIS PAPER

Yanxi Wei, On the Training and Path of Artificial Intelligence Talents in Vocational Colleges. Advances in Vocational and Technical Education (2022) Vol. 4: 67-74. DOI: http://dx.doi.org/10.23977/avte.2022.040212.

REFERENCES

[1] Kim H W, Lee J S. Results of development and application of convergence talent training (STEAM) programs using Artificial Intelligence (AI) and Big Data [J]. Journal of Korean Society for the Study of Physical Education, 2021, 26(2):37-51.
[2] Blau J. Europe's Budding Artificial Intelligence Scene [J]. Research Technology Management, 2017, 60(6):2-4.
[3] Marc J, Aline R, Charlotte G, et al. ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences [J]. Journal of Animal Science, 2022(6):6.
[4] Takhi S, Gosain M, Singh V. Reinforce The Talent Acquisition Using Kaizen and Artificial Intelligence [J]. International Journal of Scientific and Research Publications (IJSRP), 2020, 10(5):233-242.
[5] Mhatre G, Dhole V. Trends In HRM: Innovative Technology for Higher Productivity of Employees and the Organizations"[J]. International Journal of Scientific and Engineering Research, 2018, 9(9):1984-1990.
[6] Haseeb M, Sasmoko S, Mihardjo L, et al. Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region [J]. International Journal of Computational Intelligence Systems, 2019, 12(2):1295-1310.
[7] Panova E, Oparina N, Bondareva L. Talent Management: Challenges and Challenges for a Digital Tomorrow [J]. Management of the personnel and intellectual resources in Russia, 2021, 10(3):49-55.
[8] Hipps C. AI Can Transform Recruitment If Algorithms Are Tuned Correctly [J]. Database and network journal, 2018, 48(5):6-6.
[9] Allal-Chérif, AY Aránega, RC Sánchez. Intelligent recruitment: How to identify, select, and retain talents from around the world using artificial intelligence [J]. Technological Forecasting and Social Change, 2021, 169(5):120822.
[10] Lee D S, Kim M H, Na I K, et al. Artificial intelligence based career matching [J]. Journal of Intelligent and Fuzzy Systems, 2018, 35(6):1-10.

Sponsors, Associates, and Links

---

• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Adult and Higher Education