Author(s)

Yanhua Chen ¹, Huizi Hang ²

Affiliation(s)

¹ Graduate School, Jiangxi Science & Technology Normal University, Nanchang, China
² School of Education, Jiangxi Science & Technology Normal University, Nanchang, China

Corresponding Author

Yanhua Chen

ABSTRACT

With the development of economy and society, new requirements and challenges are put forward to graduate education, and universities must keep abreast of the dynamics of graduate education quality to improve graduate education, while the construction of an efficient quality assessment system of graduate education is an important prerequisite. How to create an efficient assessment system? The research in this paper indicated that universities should construct a computerized big data platform by integrating data related to graduate education, and deeply analyze the status of graduate education, create a quality assessment system of graduate education, evaluate and analyze the quality of graduate education on the big data platform of graduate education by using computer technology, and implement dynamic supervision of the evaluation results by using the supervision and feedback system, and continuously improve the quality assessment system driven by computerized big data platform. The system would be intelligently improved, so as to create a mature intelligent evaluation system of graduate education quality, which would provide an objective basis for better grasping the current situation of graduate education and policy optimization, and finally improve the quality of graduate education in universities.

KEYWORDS

Big Data Platform, Graduate education, Quality assessment system, Computer technology

CITE THIS PAPER

Yanhua Chen, Huizi Hang, Exploring the Construction of Quality Assessment System of Graduate Education Based on Computerized Big Data Platform. Adult and Higher Education (2022) Vol. 4: 1-8. DOI: http://dx.doi.org/10.23977/aduhe.2022.041301.

REFERENCES

[1] Foster M. and Tasnim Z., (May 2020) Data Science and Graduate Nursing Education a Critical Literature Review, Clin. Nurse. Spec. Indianapolis, vol. 34, pp. 124-131.
[2] Dinov I. D., (Feb 2020) Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs, Front. Public Health Stockholm, pp. 8.
[3] Gu X. L. and Gao A.P., (May 2022) How to train interdisciplinary graduate students, Acad. Degr. Grad. Edu. Beijing, vol. 5, pp. 80-86.
[4] Li F. and Wang Z. J., (July 2016) Research on monitoring and evaluation of graduate education based on big data, Acad. Degr. Grad. Edu. Beijing, vol. 7, pp. 15-19.
[5] Wei P. and Liu D. S., (November 2014) Exploration on the cultivation of practical ability in the teaching link of full-time professional degree graduates, Chi Ele. Pow. Edu. Beijing, vol. 11, pp. 17-18.
[6] Li Y. Q. and Yue Y., (May 2022) An empirical study on the relationship between economic development level and graduate education supply and demand, Acad. Degr. Grad. Edu. Beijing, vol. 5, pp. 54-62.
[7] Liu J., (November 2014) Research on the Innovation of Graduate Educational Administration Management Mode under the Background of Big Data, J. Phys. Conf. Ser. London, vol. 11, pp. 17-18.
[8] Aikat J., Carsey T.M., and Ahalt S. C., (Mar 2017) Scientific Training in the Era of Big Data: A New Pedagogy for Graduate Education, Big Data, New York, vol. 5, pp. 12-18.
[9] Olsen A. A., Minshew L. M., and McLaughlin J. E., (Mar 2020) Exploring the Future of Graduate Education in Pharmaceutical Fields,” Med. Sci. Educ. London, vol. 30, pp. 75-79,
[10] Kim Y., (Mar 2016) Current status of big data-related study and tasks of early childhood education in Korea, Korean J. Early Child. Edu. Seoul, vol. 36, pp. 181-206.

Sponsors, Associates, and Links

---

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