Abstract—Based on the data extracted from the talent
training status, the third-party institution and the large data in
the process of teaching and learning within the school, this
research analyses the setting factors of the early-warning index
and Operating mechanism and attempts to establish the
self-optimization early warning system of specialty setting and
adjustment in higher vocational education in order to carry out
diagnosis and improvement in daily work.
Index Terms—Early warning mechanism, big data, multi index, specialty setting and adjustment.
Cao Jun is with Shanghai SIPO Polytechnic, Shanghai, China (e-mail: firstname.lastname@example.org).
Zhang Xuelong is with the Management and Research of Higher Vocational Education, China (e-mail: email@example.com).
Cite: Cao Jun and Zhang Xuelong, "On Early-Warning Mechanism of Specialty Setting and Adjustment in Higher Vocational Education Based on Multi-index Big Data Extraction," International Journal of Information and Education Technology vol. 7, no. 12, pp. 928-931, 2017.