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However, their availability in online learning remains an unresolved issue. To bridge this gap, we propose a virtual reality and Internet of Things-based pipeline for online music learning. The one graph network is used to generate an automated evaluation of learning performance which traditionally was given by the teachers. To be specific, a graph neural network-based algorithm is employed to identify the real-time status of each student within an online class. In the proposed algorithm, the characteristics of each student collected from the multisensors deployed on their bodies are taken as the input feature for each node in the presented graph neural network. With the adoption of convolutional layers and dense layers as well as the similarity between each pair of students, the proposed approach can predict the future circumstance of the entire class. To evaluate the performance of our work, comparison experiments between several state-of-the-art algorithms and the proposed algorithm were conducted. The result from the experiments demonstrated that the graph neural network-based algorithm achieved competitive performance (sensitivity 91.24%, specificity 93.58%, and accuracy 89.79%) over the state-of-the-art.<\/jats:p>","DOI":"10.1155\/2022\/3316886","type":"journal-article","created":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T19:35:28Z","timestamp":1665516928000},"page":"1-7","source":"Crossref","is-referenced-by-count":6,"title":["Virtual Reality and Internet of Things-Based Music Online Learning via the Graph Neural Network"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0305-8454","authenticated-orcid":true,"given":"Jian","family":"Lian","sequence":"first","affiliation":[{"name":"School of Intelligence Engineering, Shandong Management University, Jinan 250357, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9688-3941","authenticated-orcid":true,"given":"Yanan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Beijing College of Foreign Studies University, Beijing 100089, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1172-1714","authenticated-orcid":true,"given":"Lina","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Electrical and Automation, Shandong Labor Vocational and Technical College, Jinan 250022, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2689-8336","authenticated-orcid":true,"given":"Zhiguo","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Intelligence Engineering, Shandong Management University, Jinan 250357, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","article-title":"Emergency management and protection measures during epidemics of novel coronavirus pneumonia","volume":"24","author":"L. 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