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Through in-depth analysis, we studied the challenges and opportunities faced by preschool education in colleges and universities, and discussed..." /><meta property="og:url" content="www.igi-global.com/article/big-data-optimization-model-for-enhancing-the-innovation-of-preschool-education-model-under-the-background-of-intelligent-internet/361576" /><meta property="og:image" content="https://coverimages.igi-global.com/cover-images/covers/ijwltt.png" /><meta property="og:image:alt" content="Big Data Optimization Model for Enhancing the Innovation of Preschool Education Model Under the Background of Intelligent Internet" /><link href="http://purl.org/dc/elements/1.1/" rel="schema.DC" /><meta name="DC.creator" content="Du, Yun" /><meta name="DC.date" content="0001-01-01" /><meta name="DC.identifier" content="1548-1093 DOI: 10.4018/IJWLTT.361576" /><meta name="DC.title" content="Big Data Optimization Model for Enhancing the Innovation of Preschool Education Model Under the Background of Intelligent Internet" /><meta name="DC.publisher" content="IGI Global Scientific Publishing" /><meta name="DC.type" content="article" /><meta name="DC.format" content="electronic" /><meta name="DC.source" content="https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWLTT.361576" /><meta name="DC.language" content="English" /><meta name="DC.rights" content="Access limited to members" /></head><body><form method="post" action="/article/big-data-optimization-model-for-enhancing-the-innovation-of-preschool-education-model-under-the-background-of-intelligent-internet/361576" id="aspnetForm"><div class="header navbar navbar-default navbar-fixed-top nav-bar-index-fix"><header class="container"><div class="logo"><a href="/"><img src="https://coverimages.igi-global.com/images/igi-global-logo.png" alt="IGI Global Scientific Publishing" width="265" height="68" class="logo-img" /></a></div><div class="location-container"><div class="location-first-line">Hershey, Pennsylvania</div><div class="location-second-line locations"><span>New York, New York</span><span>Beijing, China</span></div></div><div class="header-right"><button type="button" class="navbar-toggle margin-right-0" data-toggle="collapse" data-target="#collapse-menu" aria-label="Menu"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button><button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#search-menu" aria-label="Search"><span class="glyphicon glyphicon-search top-nav-mobile-icon"></span></button><button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#user-menu" aria-label="My Account"><span class="glyphicon glyphicon-user top-nav-mobile-icon"></span></button></div><div class="header-search-menu menu-open-on-click"><ul id="user-menu" class="nav navbar-nav navbar-collapse collapse navbar-font-12 navbar-fixed-top" style="float:right;"><li class="dropdown background-transparent top-nav-vspace md-hide"><a href="/newsletters/" class="dropdown-toggle">Get Our News</a></li><li class="dropdown website-localization-container top-nav-vspace top-nav-vspace-countries"><span style="float: left; 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Through in-depth analysis, we studied the challenges and opportunities faced by preschool education in colleges and universities, and discussed the innovative influence of big data technology on educational paradigm. Our research emphasizes the key role of data-driven insights in reforming teaching methods and optimizing resource allocation in education. We emphasize the importance of establishing a central database and data sharing mechanism to improve the efficiency and effectiveness of education. In addition, we identified the main challenges, including data security issues, technical proficiency gap and resource gap among educators, and put forward targeted countermeasures to solve these problems. Looking forward to the future, we expect that the pre-school education model based on Internet big data will have a promising development track, which indicates a future characterized by innovation, change and excellent education.<div id="sample" class="xml-reader-bookstore"><div id="article-preview" class="preview-header">Article Preview</div><span class="tophash"><a href="#" class="navlinkc">Top</a></span><h2 id="introduction">Introduction</h2><div class="headerdivider"></div><p>The relentless march of technological progress in the digital age has catalyzed a paradigm shift across myriad domains, fundamentally altering how we perceive, interact with, and navigate the world. Within the realm of education, this transformative wave has spurred the integration of cutting-edge technologies, chief among them being internet big data (Mhlanga, 2023). As colleges and universities strive to remain at the forefront of educational innovation, they are increasingly turning to big data technology to revolutionize teaching methodologies, optimize resource allocation, and enhance educational outcomes (George & Wooden, 2023).</p><p>Preschool education, as the foundational cornerstone of a child's educational journey, stands as a focal point for transformative change within tertiary institutions (Jin et al., 2023). Recognizing the pivotal role of early childhood education in shaping cognitive development, socio-emotional skills, and lifelong learning trajectories, colleges and universities are endeavoring to recalibrate their pedagogical approaches to meet the evolving needs of contemporary society (Cordova Jr et al., 2024). In this context, the integration of internet big data emerges as a potent catalyst for innovation, promising to unlock new vistas of educational excellence and pedagogical efficacy.</p><p>Preschool education programs in colleges and universities serve as an essential foundation for training future educators, and the quality of this education is directly linked to the development of preschool education in China (Ivanchuk et al., 2023). By 2022, the number of preschool education institutions in China had reached 289,222 (see Table 1), indicating a substantial scale. However, within the current preschool education model in higher education, several issues and challenges have emerged. Traditional teaching methods tend to be teacher-centered, emphasizing knowledge transmission over skill cultivation. Additionally, practical teaching components are often superficial, making it difficult to genuinely enhance students' educational practice abilities. Furthermore, the uneven distribution of educational resources and the disconnect between teaching content and societal needs are also significant concerns (Mncube & Ngema, 2023).</p><i>Table 1. </i><div class="xmlReaderFig"><div class="xmlReaderTitle4">Number of preschool education schools in China from 2017 to 2022</div></div><table frame="hsides" rules="groups"><col width="44.07%" /><col width="8.39%" /><col width="9.32%" /><col width="9.32%" /><col width="9.32%" /><col width="9.32%" /><col width="10.26%" /><thead><tr><th valign="top" align="center" scope="col">Ages</th><th valign="top" align="center" scope="col">2017</th><th valign="top" align="center" scope="col">2018</th><th valign="top" align="center" scope="col">2019</th><th valign="top" align="center" scope="col">2020</th><th valign="top" align="center" scope="col">2021</th><th valign="top" align="center" scope="col">2022</th></tr></thead><tbody><tr><td valign="top" align="left" scope="row">Number of pre-school education schools (10,000)</td><td valign="top" align="center">25.495</td><td valign="top" align="center">26.6677</td><td valign="top" align="center">28.1174</td><td valign="top" align="center">29.1715</td><td valign="top" align="center">29.4832</td><td valign="top" align="center">28.9222</td></tr></tbody></table><p>In this context, it is particularly crucial to explore the preschool education model in colleges and universities leveraging internet big data (Wang, 2023). Wang (2023) highlights the growing importance of integrating data analytics into higher education, particularly in the field of early childhood education. According to Wang, the use of big data in preschool education can enhance the preparation of future educators by providing them with the tools and skills necessary to interpret and utilize educational data effectively. 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onclick="GetArticles(71167, 242, '', 1081, 8, '')" style="display:block;"><div class="listiteminner listiteminnersmall"><div id="volume71167" class="mar-l-4"><span class="toggle-arrow-15 toggle-arrow-up-15"></span> Volume 8: 4 Issues (2013) </div></div></div><div id="articles71167"></div><div class="listitemouter toggle-arrow-container" style="display:none;cursor:default;"><div class="listiteminner listiteminnersmall"><div class="mar-l-4"> Volume 8: 4 Issues (2013): Forthcoming, Available for Pre-Order </div></div></div><div class="listitemouter toggle-arrow-container" onclick="GetArticles(59099, 242, '', 1081, 7, '')" style="display:block;"><div class="listiteminner listiteminnersmall"><div id="volume59099" class="mar-l-4"><span class="toggle-arrow-15 toggle-arrow-up-15"></span> Volume 7: 4 Issues (2012) </div></div></div><div id="articles59099"></div><div class="listitemouter toggle-arrow-container" style="display:none;cursor:default;"><div class="listiteminner 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</div></div></div><div id="articles38782"></div><div class="listitemouter toggle-arrow-container" style="display:none;cursor:default;"><div class="listiteminner listiteminnersmall"><div class="mar-l-4"> Volume 5: 4 Issues (2010): Forthcoming, Available for Pre-Order </div></div></div><div class="listitemouter toggle-arrow-container" onclick="GetArticles(34729, 242, '', 1081, 4, '')" style="display:block;"><div class="listiteminner listiteminnersmall"><div id="volume34729" class="mar-l-4"><span class="toggle-arrow-15 toggle-arrow-up-15"></span> Volume 4: 4 Issues (2009) </div></div></div><div id="articles34729"></div><div class="listitemouter toggle-arrow-container" style="display:none;cursor:default;"><div class="listiteminner listiteminnersmall"><div class="mar-l-4"> Volume 4: 4 Issues (2009): Forthcoming, Available for Pre-Order </div></div></div><div class="listitemouter toggle-arrow-container" onclick="GetArticles(34724, 242, '', 1081, 3, '')" style="display:block;"><div class="listiteminner listiteminnersmall"><div id="volume34724" class="mar-l-4"><span class="toggle-arrow-15 toggle-arrow-up-15"></span> Volume 3: 4 Issues (2008) </div></div></div><div id="articles34724"></div><div class="listitemouter toggle-arrow-container" style="display:none;cursor:default;"><div class="listiteminner listiteminnersmall"><div class="mar-l-4"> Volume 3: 4 Issues (2008): Forthcoming, Available for Pre-Order </div></div></div><div class="listitemouter toggle-arrow-container" onclick="GetArticles(34719, 242, '', 1081, 2, '')" style="display:block;"><div class="listiteminner listiteminnersmall"><div id="volume34719" class="mar-l-4"><span class="toggle-arrow-15 toggle-arrow-up-15"></span> Volume 2: 4 Issues (2007) </div></div></div><div id="articles34719"></div><div class="listitemouter toggle-arrow-container" style="display:none;cursor:default;"><div class="listiteminner listiteminnersmall"><div class="mar-l-4"> Volume 2: 4 Issues (2007): Forthcoming, Available for 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