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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">erd</journal-id><journal-title-group><journal-title>Education Reform and Development</journal-title></journal-title-group><issn>2652-5364</issn><eissn>2652-5372</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/erd.v7i10.12801</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Optimization Path of Student Monitor of Instruction in Universities</title><url>https://artdesignp.com/journal/erd/7/10/10.26689/erd.v7i10.12801</url><author>SunXiujuan</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>7</volume><issue>10</issue><history><date date-type="pub"><published-time>2025-11-14</published-time></date></history><abstract>Under the “student-centered” educational philosophy, student participation in teaching management is an inevitable requirement for improving the quality of higher education. As a key link connecting “students—teachers—departments—universities,” Student Monitor of Instruction play an irreplaceable role in teaching information feedback, quality supervision, and academic atmosphere building. Currently, university teaching quality monitoring faces problems such as insufficient manpower and limited coverage. As firsthand participants in the entire teaching process, students are conducive to improving the teaching quality assurance system. Drawing on practical experiences from multiple universities, this paper systematically proposes optimization paths for the work of Student Monitor of Instruction from four dimensions: constructing diversified incentive mechanisms, improving systematic training systems, establishing multi-agent collaboration mechanisms, and optimizing operational environments. 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