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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.v10i5.15025</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Innovation of University Smart Teaching Management Mode under the Background of Digital Transformation</title><url>https://artdesignp.com/journal/JCER/10/5/10.26689/jcer.v10i5.15025</url><author>DengMimi</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>5</issue><history><date date-type="pub"><published-time>2026-06-05</published-time></date></history><abstract>With the comprehensive advancement of educational digitalization, university teaching management is undergoing a transformation from traditional manual, offline, decentralized, and experience-based management to a smart teaching management mode featuring digitalization, intelligence, refinement, integration, and service orientation. Supported by big data, cloud computing, artificial intelligence, Internet of Things, and other technologies, smart teaching management enables efficient teaching operation, targeted teaching services, data-based teaching decision-making, and real-time teaching quality monitoring. Against the backdrop of digital transformation, this paper interprets the connotation and characteristics of smart teaching management, analyzes prominent problems existing in current university teaching management, and proposes innovative paths for smart teaching management mode from the perspectives of concept, technology, process, system, and service. 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