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:
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract 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.
AbstractList 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.
Author Tian, Hu
Author_xml – sequence: 1
  givenname: Hu
  surname: Tian
  fullname: Tian, Hu
  email: Tianhutiger2@mail.com
  organization: The School of Education Science, Xian Yang Normal University,Xian Yang,Shan Xi,China,712000
BookMark eNotkD1vwjAYhF2pHQrtL-jivYI6TuKPEaW0jRQJ0bKj18lrsGQcFBsk_n1Dy3R3utMz3ITchz4gITRj8yxj-q2u6u9qURYi43POOJ9rrUoh1R2ZZEKUhZZMikcS1ycIySVI7ox0EcBfoou0tzTtkdaHI7TpmlbBu4D0la6s_XN1SOi922FIdHkGfxoJfbhOf9YNfYcEBuJI9Lt-cGl_oGNZ9achYnwiDxZ8xOebTsnmY7mpvmbN6rOuFs3MFYrNeNt2VptCcdSqaLtcKmaZbo3RVsmyBWM6bkSOkEtmNQNbSBCM5UJxbjPIp-TlH-sQcXsc3AGGy_Z2Q_4L0XhZrA
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICIRCA54612.2022.9985678
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Economics
Education
EISBN 1665497076
9781665497077
EndPage 1630
ExternalDocumentID 9985678
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i480-2ccdf9b482e984cd3780f09cbb9f875cabbd2b63ea370f90af47a60036822f1a3
IEDL.DBID RIE
IngestDate Thu Jan 18 11:14:30 EST 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i480-2ccdf9b482e984cd3780f09cbb9f875cabbd2b63ea370f90af47a60036822f1a3
PageCount 4
ParticipantIDs ieee_primary_9985678
PublicationCentury 2000
PublicationDate 2022-Sept.-21
PublicationDateYYYYMMDD 2022-09-21
PublicationDate_xml – month: 09
  year: 2022
  text: 2022-Sept.-21
  day: 21
PublicationDecade 2020
PublicationTitle 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)
PublicationTitleAbbrev ICIRCA
PublicationYear 2022
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.8075149
Snippet 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....
SourceID ieee
SourceType Publisher
StartPage 1627
SubjectTerms Big Data
Economics
Education
Force
Online + Offline Intelligent Evaluation
Organizations
Quantitative Analysis
SQL Database Algorithm
Statistical analysis
Title Quantitative Analysis of the Impact of Online + Offline Intelligent Evaluation of SQL Database Algorithm on Courses
URI https://ieeexplore.ieee.org/document/9985678
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEA5tEfTkoxXf5OBNt93NZjebY6ktLkhttYfeSp5aqLvS3fr7TdLuiuDF2yQZCEwgM5PM9w0At9hyzgWaeyzh2sNcEo9RiTwexTTWCWKYSNdsgozHyXxOJw1wX2NhlFKu-Ex1rej-8mUuNvaprGdSg8hcrk3QJIRssVpVcY5Pe-kgfRn0I2x8tsn7EOru1H_1TXFuY3T4vw2PQOcHfwcntWc5Bg2VnYD9CkNcWLmqy2iDYrphmYOKmYsLViQjMNfQxHYwdShIO9qSisI7-Ky1k9KajbOEw5r026q-Tp_gAyuZdXGwv3rL18vy_QOaRdvirlBFB8xGw9ng0du1UvCWOPE9JITUlOMEKZpgIUOS-NqngnOqTcIiGOcS8ThULCS-pj7TmLDYctWY-EEHLDwFrSzP1BmAFDMTQqkASUGwFpgKHJuwIwpZpBUS8hy0rR0Xn1uyjMXOhBd_T1-CA3tUtgADBVegVa436hrsia9yWaxv3Al_A3Gvqjk
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LTwIxEG4QTfDkA4xve_CmC7vd7qNHghg2IoJy4Eb6VBLdNezi77ct7BoTL96mrzSZJp2Zdr5vALjGhnPOU8yhMVMOZiJyKBHIYUFIQhUjiiNhi01Eo1E8m5FxDdxWWBgppU0-k20j2r98kfGVeSrr6NAg0JfrFtgOMEbeGq1Vpue4pJP0kudeN8DaauvID6H2ZsGvyinWcNzv_W_LfdD6QeDBcWVbDkBNpoegUaKIcyOXmRlNkE9WNLVgMX11wZJmBGYKau8OJhYHaVprWlF4A5-UslJS8XEWsF_RfpupL5MhvKMFNUYOdt9fs-WiePuAetAUuctl3gLT-_60N3A2xRScBY5dB3EuFGE4RpLEmAs_il3lEs4YUTpk4ZQxgVjoS-pHriIuVTiioWGr0R6E8qh_BOpplspjAAmm2omSHhI8wopjwnGoHY_Ap4GSiIsT0DR6nH-u6TLmGxWe_t19BRqD6eNwPkxGD2dg1xybScdA3jmoF8uVvAA7_KtY5MtLe9rfdpStgA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2022+4th+International+Conference+on+Inventive+Research+in+Computing+Applications+%28ICIRCA%29&rft.atitle=Quantitative+Analysis+of+the+Impact+of+Online+%2B+Offline+Intelligent+Evaluation+of+SQL+Database+Algorithm+on+Courses&rft.au=Tian%2C+Hu&rft.date=2022-09-21&rft.pub=IEEE&rft.spage=1627&rft.epage=1630&rft_id=info:doi/10.1109%2FICIRCA54612.2022.9985678&rft.externalDocID=9985678