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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v5i11.2747</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Innovative Strategy of Blended Teaching in Network Marketing in the Era of Big Data</title><url>https://artdesignp.com/journal/JCER/5/11/10.26689/jcer.v5i11.2747</url><author>LiangLei,FanZhiyong</author><pub-date pub-type="publication-year"><year>2021</year></pub-date><volume>5</volume><issue>11</issue><history><date date-type="pub"><published-time>2021-11-30</published-time></date></history><abstract>Network Marketing is a practical professional compulsory course. With the advent of big data technology, a hybrid teaching model combining online and offline has emerged. Based on the analysis of the advantages of using a hybrid teaching model in Internet Marketing, this article comprehensively considers a variety of factors and put forward the innovative strategy of blended teaching in Network Marketing in the era of big data. This may provide new paths and methods for enhancing teaching effects, cultivating students’ independent learning, and improving core literacy.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Xi J, 2017, The Report of the 19th National Congress of the Communist Party of China, Learning Press, Beijing, 24.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Baoping R, 2019, Thoughts on the Reform of the Training System for Economics Professionals in the Era of Artificial Intelligence. 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