Quantitative Analysis of the Impact of Online + Offline Intelligent Evaluation of SQL Database Algorithm on Courses

As a highly specialized subject, the large-scale database application course plays a very important role in the social and economic development of our country. From the current point of view, the traditional teaching system of large-scale database application courses can no longer meet the developme...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) s. 1627 - 1630
Hlavní autor: Tian, Hu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 21.09.2022
Témata:
Big Data
Economics
Education
Force
Online + Offline Intelligent Evaluation
Organizations
Quantitative Analysis
SQL Database Algorithm
Statistical analysis
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:As a highly specialized subject, the large-scale database application course plays a very important role in the social and economic development of our country. From the current point of view, the traditional teaching system of large-scale database application courses can no longer meet the development needs of the era of big data. Analyze the video attraction of online courses. Through statistical analysis, establish a single video attraction factor R, and study the attraction of a single video based on multiple regression algorithms Mathematical mechanism that force is affected by video attributes. It is found that the attractiveness of a single video is negatively linearly related to both video duration and video release time. Judge the relative importance of the curriculum, and then explore the establishment of a quantitative evaluation model for the curriculum system.
DOI:10.1109/ICIRCA54612.2022.9985678