arbiter
JournalsPricingAccount

Application of Big Data in Entrepreneurship and Innovation Education for Higher Vocational Teaching

Long Chen & He Jiang

International Journal of Information Technology and Web Engineering2023https://doi.org/10.4018/ijitwe.333898article
ABDC C
Weight
0.59

What the paper says

The traditional grid did not consider the dynamic characteristics of the big data of innovation and entrepreneurship education. The grid based quantitative evaluation model of analytical AI teaching information based on adaptive identification and weighting algorithm is gradually applied to the daily operating system of innovation and entrepreneurship education. This article studies the application of adaptive recognition weighting algorithm in grid analysis of innovation and entrepreneurship education in domestic vocational colleges, and proposes an AI teaching model of grid analysis based on adaptive recognition weighting algorithm and online analysis of innovation and entrepreneurship education intelligence in colleges and universities. The results show that the innovation and entrepreneurship education model in colleges and universities based on grid analysis network teaching and adaptive recognition weighting algorithm can efficiently and intelligently diagnose students' teaching data, and achieve the innovation of big data analysis technology in colleges and universities.

8 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.4018/ijitwe.333898

Or copy a formatted citation

@article{long2023,
  title        = {{Application of Big Data in Entrepreneurship and Innovation Education for Higher Vocational Teaching}},
  author       = {Long Chen & He Jiang},
  journal      = {International Journal of Information Technology and Web Engineering},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.4018/ijitwe.333898},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Application of Big Data in Entrepreneurship and Innovation Education for Higher Vocational Teaching

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.59

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.61 × 0.4 = 0.24
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.