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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">IEF</journal-id><journal-title-group><journal-title>International Education Forum</journal-title></journal-title-group><issn>3083-4902</issn><eissn>2981-8605</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/ief.v2i11.9151</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>A Blended Teaching Approach to Linear Algebra</title><url>https://artdesignp.com/journal/IEF/2/11/10.26689/ief.v2i11.9151</url><author>LiuHaiyan</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>2</volume><issue>11</issue><history><date date-type="pub"><published-time>2024-12-24</published-time></date></history><abstract>Linear algebra is an important fundamental course for university students in technology and science. However, most students think linear algebra is very abstract. To give students a much better learning effect, we chose a blended teaching method that uses both offline and online resources. By analyzing the characteristics of linear algebra, the aim of teaching, and the characteristics of human understanding. Concrete teaching methods and some linear algebra examples are displayed in this paper.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Xiao JP, Du XC, 2024, Phytophysiology Blended Teaching Design and Exploration based on Rain-Classroom. Journal of Higher Education, 10(1): 103–106.</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>Zhu Q, 2022, The Application of Blended Teaching for Linear Algebra. Computer Knowledge and Technology, 18(6): 175–177.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Tongji University School of Mathematical Sciences, 2023, Linear Algebra. Higher Education Press, Beijing, China.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Lay DC, Lay SR, 2023, Linear algebra and Its Application. China Machine Press, Beijing, China.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Wang YX, Feng WS, 2020, Shallow Talk the Application of Eigenvalue and Eigenvector. Mathematics Learning and Studying, 10: 10–11.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Wei X, Wang JQ, 2024, On Economics Perspective of Understanding Eigenvalues and Eigenvectors. Studies in College Mathematics, 27(3): 80–82.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
