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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.v9i7.11374</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Current Situation, Problems, and Solution Paths of Value-Added Evaluation for Vocational College Students in the Context of Big Data</title><url>https://artdesignp.com/journal/JCER/9/7/10.26689/jcer.v9i7.11374</url><author>ZhangJing,XuLili,ZhangShuai</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>7</issue><history><date date-type="pub"><published-time>2025-07-31</published-time></date></history><abstract>Value-added evaluation focuses on individual student growth by tracking changes in academic performance, skills, literacy, etc., at different time points. It weakens horizontal comparisons and emphasizes vertical progress to more fairly reflect educational effectiveness. This evaluation method is particularly suitable for vocational education, effectively motivating students’ learning enthusiasm and enhancing their self-confidence. Foreign research is represented by the Tennessee Value-Added Assessment System (TVAAS), widely used in evaluating school quality and teacher performance. Domestic research currently focuses on the theoretical construction, model establishment, optimization, and practical application of value-added evaluation, still facing significant challenges in data collection comprehensiveness and model adaptability. Aiming at current issues, this study focuses on exploring the application of artificial intelligence large models in student value-added evaluation from an evidence-based perspective, committed to constructing an innovative evidence-based value-added evaluation system. It aims to achieve precise assessment of students’ learning effect “net value-added” through multi-source data collection, intelligent analysis, and personalized feedback. The system integrates outcome evaluation, process evaluation, value-added evaluation, and comprehensive evaluation to form a “four-in-one” dynamic evaluation framework, considering students’ starting points, process performance, and final achievements. In the future, value-added evaluation needs to further expand the assessment of non-academic dimensions (such as professional literacy and social-emotional skills) and explore the application of non-linear models to promote the deepening and innovation of educational evaluation reform.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Qin S, 2023, Research on the Teaching Reform of “Chinese Ancient Literature” Course in Teachers’ Colleges Based on Post-Course Integration. Education Teaching Forum, (52): 82–85.</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>Peng F, Zhang J, 2024, Turning to Value-Added Evaluation: The Model Evolution of Digital Technology-Supported Vocational Education Student Evaluation. Vocational Education Forum, 40(05): 62–69.</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>Li J, Tan D, 2024, Basic Concepts, Practical Dilemmas, and Optimization Strategies of Value-Added Evaluation. Journal of the Chinese Society of Education, 2024(09): 37–43.</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 B, Fu Z, 2024, The Design Logic of Student-Oriented Value-Added Evaluation in Vocational Education—From the Perspective of Value and Rational Regression of Value-Added Evaluation. Vocational and Technical Education, 45(23): 76–80.</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>Qiu W, Yue C, 2024, A Study on the Impact of Ability Value-Added on the Employment Quality of Undergraduate Graduates—An Empirical Analysis Based on the Sampling Survey of Employment Status of College Graduates Nationwide. Research in Educational Development, 44(07): 26–36.</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>Xu L, Qian J, 2024, The American Value-Added Evaluation Model for Teacher Effectiveness Based on Multiple Evidences and Its Application Enlightenment. Shanghai Research on Education, 2024(10): 37–45.</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>Wang Z, Ma X, Zhang B, 2024, From Fuzziness to Precision: Digital Intelligence Empowers Evidence-Based Higher Education Evaluation. Heilongjiang Researches on Higher Education, 42(11): 47–51.</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 R, Liao H, 2024, Intelligent Technology Empowers the Value-Added Evaluation of Curriculum Ideological and Political Effects: Model Design and Implementation Path. Heilongjiang Researches on Higher Education, 42(12): 73–78.</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>Kong X, Tian Q, Liu Q, et al., 2024, Construction and Application of a Student Learning Value-Added Evaluation Model Based on Knowledge Graphs. Chemistry Education (Chinese &amp; English), 45(16): 55–65.</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>Wu B, Zhou L, Yue C, 2024, The Contribution of Higher Education Factor Inputs to the Value-Added of Undergraduates’ Core Competencies in the AI Era. Education and Economy, 40(02): 66–78.</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>Li S, Wei Z, 2024, From the Perspective of New Productive Forces, ChatGPT Activates the Reform of College Student Evaluation: Motivation, Transformation, and Path. Heilongjiang Researches on Higher Education, 42(09): 154–160.</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>Li J, Tan D, 2024, Problem Discussion and Optimization Strategies for the Application of Value-Added Evaluation Models—Based on the Evidence of 45 Empirical Studies in China. China Examinations, (06): 71–78.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Zhou J, Tang T, Hu Z, 2024, Research on the Value-Added Evaluation System for Higher Vocational Students from the Perspective of Digital Empowerment. Shipbuilding Vocational Education, 12(03): 1–4.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Zheng Y, Wang Y, Yang S, 2024, Artificial Intelligence Empowers Educational Evaluation: Value, Challenges, and Paths. Open Education Research, 30(04): 4–10.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Chen N, Bu L, Xu C, 2025, Research and Practice on the Development of New “Dual” Cooperative Textbooks—Taking Computer Vision Technology and Application as an Example. Modern Information Technology, 9(02): 195–198.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
