{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T22:52:10Z","timestamp":1771023130878,"version":"3.50.1"},"reference-count":22,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2023,3,15]]},"abstract":"<jats:p> With the rapid development of modern information technology represented by the Internet, cloud computing and big data, education and teaching have gradually realized the deep integration of the Internet, which has changed people\u2019s way of life, study and work to a certain extent. Intelligence [Formula: see text] education provides a new information-based teaching method for the development of education. From the perspective of improving the accuracy of data fusion results, this paper proposes a new multi-source data fusion method based on a set pair analysis connection degree for the situation that multiple sensors with unknown prior knowledge detect the same target feature parameters multiple times. By using the advantages of the set pair analysis feature function, the degree of opposition, the identity and difference between the measurement data are mined to adjust the degree of connection between the data. According to the existing signal-to-noise ratio weighting method in the fusion process, the weight of the measurement data is reasonably allocated to realize the weighted fusion of multi-source data, and the effectiveness and reliability of the algorithm are verified through simulation experiments. Through the summary of the questions, it can be seen that the learners are very satisfied with the mobile piano learning mode based on the intelligent teaching system, and they believe that this learning mode is conducive to the learner\u2019s mastery of the basic knowledge of piano, and effectively improves the learners\u2019 learning ability. It also improves the individual\u2019s self-directed learning ability and academic performance. Through the research, it is concluded that the students\u2019 piano mobile learning mode based on the intelligent teaching system is more conducive to the learner\u2019s mastery of knowledge, and improves the learning interest and academic performance. <\/jats:p>","DOI":"10.1142\/s0218126623500718","type":"journal-article","created":{"date-parts":[[2022,9,10]],"date-time":"2022-09-10T05:14:01Z","timestamp":1662786841000},"source":"Crossref","is-referenced-by-count":17,"title":["Construction and Application of Piano to Intelligent Teaching System Based on Multi-Source Data Fusion"],"prefix":"10.1142","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3331-4869","authenticated-orcid":false,"given":"Zhen","family":"Jing","sequence":"first","affiliation":[{"name":"Chongqing Institute of Foreign Studies, Chongqing 401120, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,10,15]]},"reference":[{"key":"S0218126623500718BIB001","doi-asserted-by":"crossref","first-page":"3067","DOI":"10.3233\/JIFS-179109","volume":"37","author":"Farouk A.","year":"2019","journal-title":"J. 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