{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:49:56Z","timestamp":1701478196241},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"abstract":"<jats:p>The widespread adoption and advancement of big data technology have led to its integration across various industries, offering convenience and efficiency in various tasks. The field of education is no exception, as the integration of modern technology with education becomes increasingly common. Traditional experiential teaching methods are gradually being replaced by data-driven teaching approaches. The establishment of data-driven platforms enables the collection and analysis of teaching materials, injecting new energy into precision teaching. This article focuses on modeling and evaluating the management method of precision teaching in universities during the era of big data, utilizing the entropy weight method for analysis. Specific analyses are conducted to provide a comprehensive understanding of the subject matter.<\/jats:p>","DOI":"10.3233\/faia230908","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:58:10Z","timestamp":1701446290000},"source":"Crossref","is-referenced-by-count":0,"title":["Research on Precision Teaching Management Methods in Universities in the Era of Big Data Based on Entropy Weight Method"],"prefix":"10.3233","author":[{"given":"Xiufeng","family":"Wei","sequence":"first","affiliation":[{"name":"Shenyang University"}]},{"given":"Jiaqi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Shenyang University"}]},{"given":"Le","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenyang University"}]},{"given":"Hongyan","family":"Feng","sequence":"additional","affiliation":[{"name":"Shenyang University"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230908","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:58:14Z","timestamp":1701446294000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230908"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230908","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}