Received: May 19, 2022 Accepted: June 20, 2022 Publication Date: August 12, 2022
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Research on the relationship between coping style, social support and school adaptation of higher vocational students based on crawling algorithm has a positive impact on improving students’ self-cognition ability and the overall level of higher vocational education. In order to promote the reform of higher vocational education in our country, the author explained the insufficient development of higher vocational education in our country, and then analysed the relationship between student coping style, social support and school adaptation in practical higher vocational colleges by using the crawling algorithm. The results of the study finally identified the main factors that influencing the relationship. This study aims to provide a reference for the development of comprehensive level of higher vocational colleges in China.
Keywords: Crawling algorithmHigher vocational students basedCoping styleSocial supportSchool adaptation
REFERENCES
[1] J. Hussain, F. A. Satti, M. Afzal, W. A. Khan, H. S. M. Bilal, M. Z. Ansaar, H. F. Ahmad, T. Hur, J. Bang, J.-I. Kim, G. H. Park, H. Seung, and S. Lee, (2020) “Exploring the dominant features of social media for depression detection" Journal of Information Science 46(6): 739–759. DOI: 10.1177/0165551519860469.
[2] H.Wang and G. Huang, (2015) “Research on Intellectual Property Risk of Industry University Cooperative Innovation" Science and Technology Management Research (3): 130–135.
[3] X.Wang, Z. Qin, and Y. Zhang, (2014) “The exploration and practice of the micro course resources construction in Colleges and universities" Higher Agricultural Education 06: 59–61.
[4] C. Qian, S. Sun, W. Cui, J.-G. Lou, H. Zhang, and D. Zhang, (2021) “Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics" IEEE Transactions on Visualization and Computer Graphics 27(2): 443–452. DOI: 10.1109/TVCG.2020.3030448.
[5] A. Wang, (2014) “"Mold equipment" course informatization instructional design based on flipped classroom concept" Management and technology of small and medium-sized enterprises 05: 251–252.
[6] R. Bondár, S. di Fronso, L. Bortoli, C. Robazza, G. Metsios, and M. Bertollo, (2020) “The effects of physical activity or sport-based interventions on psychological factors in adults with intellectual disabilities: a systematic review" Journal of Intellectual Disability Research 64(2): 69–92. DOI: 10.1111/jir.12699.
[7] J. Lehman, J. Clune, and D. Misevic, (2020) “The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities" Artificial Life 26(2): 274–306. DOI: 10.1162/artl_a_00319.
[8] S. D. Jap and S. Ganesan, (2000) “Control mechanisms and the relationship life cycle: Implications for safeguarding specific investments and developing commitment" Journal of marketing research 37(2): 227–245.
[9] I. Korolija, L. Marjanovic-Halburd, Y. Zhang, and V. I. Hanby, (2011) “Influence of building parameters and HVAC systems coupling on building energy performance" Energy and Buildings 43(6): 1247–1253. DOI: 10.1016/j.enbuild.2011.01.003.
[10] A. Ashta and H. Herrmann, (2021) “Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance" Strategic Change 30(3): 211–222. DOI: 10.1002/jsc.2404.
[11] K. Hajhashemi, N. Anderson, and A. Shakarami, (2013) “Network Affordances through Online Learning: Increasing use and complexity" Procedia-Social and Behavioral Sciences 106: 1900–1904.
[12] K. Taeuscher, R. Bouncken, and R. Pesch, (2021) “Gaining legitimacy by being different: Optimal distinctiveness in crowdfunding platforms" Academy of Management Journal 64(1): 149–179. DOI: 10.5465/AMJ.2018.0620.
[13] X. HE H.and ZHENG and T. HE, (2014) “Study on the Mechanism of the Effective Combination of University Scientific Research Projects and Enterprise Development" Scientific Management Research 32: 60–63.
[14] Y. Wu, W. Luo, and Q. Bian, (2012) “The research on performance management for new energy project oriented company based on information system in China" Renewable and Sustainable Energy Reviews 16(7): 4370–4378. DOI: 10.1016/j.rser.2012.04.050.
[15] Y. Zhang, Z. Liu, Q. Geng, H. Liu, and X. Sun, (2013) “Study on laboratory opening management and operation mechanism in colleges and universities under new situation" Shiyan Jishu yu Guanli 30(3): 180–183.
[16] C. Shulman, C. E. Rice, M. J. Morrier, and A. Esler, (2020) “The Role of Diagnostic Instruments in Dual and Differential Diagnosis in Autism Spectrum Disorder Across the Lifespan" Psychiatric Clinics of North America 43(4): 605–628. DOI: 10.1016/j.psc.2020.08.002.
[17] K. Wang, Z. Shen, C. Huang, C.-H. Wu, Y. Dong, and A. Kanakia, (2020) “Microsoft academic graph: When experts are not enough" Quantitative Science Studies 1(1): 396–413. DOI: 10.1162/qss_a_00021.
[18] S.-H. PARK and E.-K. SUH, (2021) “A Study on Artificial Intelligence Education Design for Business Major Students" The Journal of Industrial Distribution & Business 12(8): 21–32.
[19] L. Leong, (2020) “Domesticating algorithms: An exploratory study of Facebook users in Myanmar" Information Society 36(2): 97–108. DOI: 10.1080/01972243.2019.1709930.
[20] S. Wu, Q. Xiao, M. Gao, and G. Zou, (2020) “A construction and self-learning method for intelligent domain sentiment lexicon" International Journal of Information Technology and Management 19(4): 318–333. DOI: 10.1504/IJITM.2020.110235.
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