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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.v10i5.15022</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research and Application of Blended Teaching for Principles of Operating Systems Enabled by Artificial Intelligence</title><url>https://artdesignp.com/journal/JCER/10/5/10.26689/jcer.v10i5.15022</url><author>WeiBingjie,WeiBingke,LiChunxuan</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>2026-06-04</published-time></date></history><abstract>Aiming at the problems of strong abstractness, high practical difficulty, and insufficient personalization in traditional blended teaching of the Principles of Operating Systems course, this paper deeply integrates artificial intelligence technology with blended teaching and constructs an AI-enabled blended teaching model for the operating systems course. Taking the AI support layer, teaching implementation layer, and evaluation feedback layer as the framework, this model designs an intelligent teaching process centered on pre-class, in-class, after-class, and practical teaching links, and establishes a diversified and integrated teaching evaluation system. A controlled teaching experiment was conducted in parallel classes of computer majors in a university, and the teaching effect was analyzed via score comparison, questionnaire surveys, and interviews. The results show that the model can effectively improve students’ learning interest and course performance, enhance their practical operation ability, and reduce teachers’ teaching burden, which can provide a reference for the teaching reform of core computer courses.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Huang RH, 2024, Integration of Large Artificial Intelligence Models into Education: Conceptual Transformation, Morphological Remolding and Key Measures. Academic Frontier, (14): 23–30.</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>Miao FC, 2025, Reconstruction of Higher Education in the Post-AI Era. Open Education Research, 31(2): 4–13.</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>Liu JH, Zeng HJ, Jin WY, et al., 2024, AI-Enabled Higher Education: Logical Rationale, Typical Scenarios and Practical Approaches. Journal of Xi’an Jiaotong University (Social Sciences), 44(3): 11–20.</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>Xie YR, Chen W, Qiu Y, 2025, Research on AI-Enabled Reconstruction of Classroom Teaching in Universities. Audio-Visual Education Research, 46(10): 5–13.</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>Chen J, Liao Y, Bai ZJ, et al., 2026, Reconstruction and Practical Innovation of AI-Enabled Challenging Operating Systems Courses. Journal of Computer Technology and Education, 14(1): 35–42.</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>Peng CH, Wang Q, Hu LZ, 2025, Teaching Reform and Practice of Operating System Course under the Background of Emerging Engineering Education. Fujian Computer, 41(2): 103–106.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Chen HY, 2024, Student-Centered Blended Classroom Teaching Reform of Principles of Operating Systems. Computer Education, (2): 140–145.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Zhang SN, Zheng CY, Hu B, et al., 2024, Curriculum Reform of Operating Systems Highlighting the Cultivation of Engineering Practice Ability. Computer Education, (6): 227–231.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Wang B, He YF, 2025, Reform and Practice of AI “Four-Assistance” Task-Driven Blended Teaching—Taking Linux Operating System Course as an Example. Distance Education in China, (4): 78–85.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Wang LY, 2025, Research on the Application of Generative AI-Enabled Symbiotic Teaching Model—Taking the Course “Web Application Development” as an Example. Journal of Anhui Vocational College of Electronic Information Technology, 24(1): 58–62.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Shukurova L, Ma’Murov A, 2024, An Effort Towards Efficient Learning via Integrating the AI Technique for the Design of Smart Education System, 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, IEEE, 534–538.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Pierrès O, Christen M, Schmitt-Koopmann FM, et al., 2025, Could the Use of AI in Higher Education Hinder Students With Disabilities? A Scoping Review. IEEE Access, 12: 1–18.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
