{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:59:07Z","timestamp":1777705147432,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,2,2]]},"abstract":"<jats:p>This article first studies and designs the college English test framework and performance analysis system. The author analyzes a large number of data collected by the system in three dimensions: using data mining title association models, using machine learning to merge college English score prediction models, and finally diagnosing on the basis of the sexual evaluation model, the author designed and implemented a test paper algorithm based on the association rules of the question type, and carried out relevant verification from the three aspects of test paper time, test question recommendation and improvement according to scores. Finally, according to the needs analysis, the author uses the diagnostic evaluation model and related test paper algorithm to design and implement the diagnostic evaluation model, which is added to the college English diagnostic practice system. It can be obtained through comparative experiments that the paper-based algorithm based on the diagnostic evaluation model proposed in this paper can effectively give better practice guidance and test question recommendation to the learner\u2019s learning status and knowledge point problem obstacles, and can effectively improve learning. The achievements of the authors have broad application prospects and research value.<\/jats:p>","DOI":"10.3233\/jifs-189386","type":"journal-article","created":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T10:19:17Z","timestamp":1602238757000},"page":"3489-3499","source":"Crossref","is-referenced-by-count":7,"title":["Data mining artificial intelligence technology for college english test framework and performance analysis system"],"prefix":"10.1177","volume":"40","author":[{"given":"Lin","family":"Shen","sequence":"first","affiliation":[{"name":"College of Foreign Languages, Guizhou University, Guiyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"2","key":"10.3233\/JIFS-189386_ref1","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.gie.2018.10.027","article-title":"Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network[J]","volume":"89","author":"Aoki","year":"2019","journal-title":"Gastrointestinal Endoscopy"},{"issue":"4","key":"10.3233\/JIFS-189386_ref2","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1016\/j.tourman.2015.11.016","article-title":"Enhancing satisfaction and sustainable management: Whale watching in the Azores[J]","volume":"5","author":"Bentz","year":"2016","journal-title":"Tourism Management"},{"issue":"3","key":"10.3233\/JIFS-189386_ref3","first-page":"11","article-title":"Findings of the WMT Shared Task on Automatic Post-Editing[J]","volume":"8","author":"Chatterjee","year":"2019","journal-title":"In Proceedings of the Fourth Conference on Machine Translation"},{"issue":"5","key":"10.3233\/JIFS-189386_ref4","doi-asserted-by":"crossref","first-page":"749","DOI":"10.3348\/kjr.2018.0530","article-title":"Effect of a deep learning framework-based computer-aided diagnosis system on the diagnostic performance of radiologists in differentiating between malignant and benign masses on breast ultrasonography[J]","volume":"20","author":"Choi","year":"2019","journal-title":"Korean Journal of Radiology"},{"issue":"5","key":"10.3233\/JIFS-189386_ref5","doi-asserted-by":"crossref","first-page":"2411","DOI":"10.1109\/TSG.2017.2720159","article-title":"Efficient and privacy-preserving data aggregation scheme for smart grid against internal adversariesm [J]","volume":"8","author":"He","journal-title":"IEEE Transactions on Smart Grid"},{"issue":"1","key":"10.3233\/JIFS-189386_ref6","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1080\/1034912X.2015.1111306","article-title":"Including pupils with special educational needs and disability in national assessment: Comparison of three country case studies through an inclusive assessment framework[J]","volume":"63","author":"Douglas","year":"2016","journal-title":"International Journal of Disability, Development and Education"},{"issue":"1","key":"10.3233\/JIFS-189386_ref7","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.techfore.2018.07.006","article-title":"Knowledge management: A global examination based on bibliometric analysis[J]","volume":"14","author":"Gaviria-Marin","year":"2019","journal-title":"Technological Forecasting and Social Change"},{"issue":"2","key":"10.3233\/JIFS-189386_ref8","doi-asserted-by":"crossref","first-page":"447","DOI":"10.11591\/ijeecs.v9.i2.pp447-459","article-title":"Educational data mining and analysis of students\u2019 academic performance using WEKA[J]","volume":"9","author":"Hussain","year":"2018","journal-title":"Indonesian Journal of Electrical Engineering and Computer Science"},{"issue":"4","key":"10.3233\/JIFS-189386_ref9","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1080\/10548408.2016.1182454","article-title":"Competitiveness attributes of a medical tourism destination: The case of South Korea with importance-performance analysis[J]","volume":"34","author":"Junio","year":"2017","journal-title":"Journal of Travel & Tourism Marketing"},{"issue":"11","key":"10.3233\/JIFS-189386_ref10","doi-asserted-by":"crossref","first-page":"14397","DOI":"10.1007\/s11042-018-6819-2","article-title":"Modelling adaptive hypermedia instructional system: a framework[J]","volume":"78","author":"Khan","year":"2019","journal-title":"Multimedia Tools and Applications"},{"issue":"2","key":"10.3233\/JIFS-189386_ref11","doi-asserted-by":"crossref","first-page":"114","DOI":"10.5051\/jpis.2018.48.2.114","article-title":"Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm[J]","volume":"48","author":"Lee","year":"2018","journal-title":"Journal of Periodontal & Implant Science"},{"issue":"1","key":"10.3233\/JIFS-189386_ref12","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.tourman.2018.09.003","article-title":"Can community-based tourism contribute to sustainable development? 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