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The Design of Mobile Distance Online Education Resource Sharing from the Perspective of Man-Machine Cooperation

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Abstract

The rapid development of information technology accelerates the modernization of distance education. To realize the unified organization and management of learning resources as well as improve the utilization rate of resources, this paper proposes the design of a mobile online education resource sharing system from the perspective of man-machine cooperation. This paper analyzes the main body and scope of collaboration, constructs a man-machine collaborative resource sharing model with large-scale man-machine cooperation as the main model; defines the system design principle, comprehensively considers the software layering idea and user usage, and determines the overall framework including client, presentation layer and business logic layer; divides resource sharing into three stages: production, registration, audit and release, and uses “centralized management”, to protect the intellectual property rights of distance education resources. The role access control mechanism is used to manage user rights, and the settlement incentive algorithm is introduced to protect the intellectual property rights of distance education resources. Our experimental results show that the system can be used as a key technology to promote the development of distance education information, improve the efficiency of resource sharing, and enhance the enthusiasm of users to contribute educational resources.

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References

  1. Stovall JP, Laird SG, Lana W, Allison W (2019) Student and Instructor Generated Open Educational Resources Compare Favorably to a Traditional Textbook. J Forestry 117(4):370–378

    Article  Google Scholar 

  2. Celentano V, Pellino G, Coleman MG (2019) Lack of online video educational resources for open colorectal surgery training. ANZ J Surg 15(6):25–32

    Google Scholar 

  3. Gazarian PK, Cronin J, Dalto JL, Baker KM, Friel BJ, Bruce-Baiden W, Rodriguez LY (2019) A systematic evaluation of advance care planning patient educational resources. Geriatric Nursing 40(1):174–180

    Article  Google Scholar 

  4. Adam Tanious M, Brooks JD, Wang LJ, Shames ML, Armstrong PA (2019) Educational resources for vascular laboratory education in vascular surgery residencies and fellowships: Survey of vascular surgery program directors. J Vascular Surg 69(6):1918–1923

    Article  Google Scholar 

  5. Liu S, Pan Z, Cheng X (2017) A Novel Fast Fractal Image Compression Method based on Distance Clustering in High Dimensional Sphere Surface. Fractals 25(4):1740004

    Article  Google Scholar 

  6. Beardsley M, Santos P, Hernández-Leo D, Michos K (2019) Ethics in educational technology research: Informing participants on data sharing risks. British J Educ Technol 50(3):1019–1034

    Article  Google Scholar 

  7. Shuai L, Chunli G, Fadi A et al (2020) Reliability of response region: A novel mechanism in visual tracking by edge computing for IIoT environments. Mech Syst Signal Process 138:106,537

    Article  Google Scholar 

  8. Ozkara BO, Cakir H (2018) Participation in online courses from the students’ perspective. Interactive Learn Environ 26(5–8):924–942

    Article  Google Scholar 

  9. Arrosagaray M, Gonzalez-Peiteado M, Pino-Juste M, Rodriguez-Lopez B (2019) A comparative study of Spanish adult students’ attitudes to ICT in classroom, blended and distance language learning modes. Comput Educ 134(6):31–40

    Article  Google Scholar 

  10. Vieira C, Vieira I, Raposo L (2018) Distance and academic performance in higher education. Spatial Econ Anal 13(1):1–20

    Article  Google Scholar 

  11. Liu S, Wang S, Liu X, et al. (2020) Fuzzy Detection aided Real-time and Robust Visual Tracking under Complex Environments. IEEE Trans Fuzzy Syst, 10.1109/TFUZZ.2020.3006520

  12. Firat M, Kilinc H, Yuzer TV (2018) Level of intrinsic motivation of distance education students in e-learning environments. J Comput Assist Learn 34(1):63–70

    Article  Google Scholar 

  13. Bacolod M, Mehay S, Pema E (2018) Who succeeds in distance learning? Evidence from quantile panel data estimation. Southern Econ J 84(4):1129–1145

    Article  Google Scholar 

  14. Kruk U (2018) Stability of linear EDF networks with resource sharing. Queung Syst 88(1–2):167–203

    Article  MathSciNet  Google Scholar 

  15. Eliasson O, Weidner C, Rafner J, Shaeema Z (2019) A man-machine mind meld for quantum computing: Can an online game that combines human brainpower with AI solve intractable problems? IEEE Spect 56(11):37–41

    Article  Google Scholar 

  16. Shuai L, Xinyu L, Shuai W, et al. (2020) Fuzzy-Aided Solution for Out-of-View Challenge in Visual Tracking under IoT Assisted Complex Environment. Neural Computing & Applications, doi: https://doi.org/10.1007/s00521-020-05021-3

  17. Soorki MN, Manshaei MH, Maham B, Maham B, Saidi H (2018) On Uplink Virtual MIMO with Device Relaying Cooperation Enforcement in 5G Networks. IEEE Trans Mobile Comput 17(1):155–168

    Article  Google Scholar 

  18. Oshaghi M, Emadi MJ (2020) Throughput Maximization of a Hybrid EH-SWIPT Relay System Under Temperature Constraints. IEEE Transactions on Vehicular Technology 69(2):1792–1801

    Article  Google Scholar 

  19. Nathan J, Bound C, Watson M (2019) G41(P) The use of peer design in the development of educational resources for adolescent type 1 diabetes patients. Arch Disease Childhood 104(2):17–25

    Google Scholar 

  20. Haenssle HA, Fink C, Toberer F, Winkler J, Stolz W, Deinlein T (2020) Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions. Ann Oncol 31(1):137–143

    Article  Google Scholar 

  21. Buchert T, Ko N, Graf R, Vollmer T (2019) Alkhayat Moritz, Brandenburg Elisabeth. Increasing resource efficiency with an engineering decision support system for comparison of product design variants. J Cleaner Product 210(10):1051–1062

    Article  Google Scholar 

  22. Porcel C, Ching-López A, Lefranc G, Loia V, Herrera-Viedma E (2018) Sharing notes: An academic social network based on a personalized fuzzy linguistic recommender system. Eng Appl Artificial Intell 75(6):1–10

    Article  Google Scholar 

  23. Pender LK, Kadkhoda H, Lucero KS, Repetto P, Jeffrey SW (2019) Effects of online education on the identification and management of immune-related adverse events over time. Journal of Clinical Oncology, 37(15),18,224–18,224

  24. Liu S, Liu D, Srivastava G, et al. (2020) Overview of correlation filter based algorithms in object tracking. Complex & Intelligent Systems, doi: https://doi.org/10.1007/s40747-020-00161-4

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Acknowledgments

The study was supported by the “Social Science Fund of Liaoning Province (Grant No. L18BKS014)” and “A study on enhancing the consciousness of Party members from the perspective of strict governance of the party”(Grant No.L16BDJ003).

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Authors and Affiliations

  1. School of Humanities and Social Sciences Department, China Medical University, Shenyang, 110000, China

    Chun-yu Li & Qun Zhao

  2. Department of Telecommunications, Brno University of Technology, Technicka 3082/12, 616 00, Brno, Czech Republic

    Norbert Herencsar

  3. Department of Math and Computer Science, Brandon University, Brandon, Canada

    Gautam Srivastava

  4. Research Centre for Interneural Computing, China Medical University, Taichung, Taiwan

    Gautam Srivastava

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  1. Chun-yu Li
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  2. Qun Zhao
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  3. Norbert Herencsar
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  4. Gautam Srivastava
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Correspondence to Gautam Srivastava.

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Li, Cy., Zhao, Q., Herencsar, N. et al. The Design of Mobile Distance Online Education Resource Sharing from the Perspective of Man-Machine Cooperation. Mobile Netw Appl 26, 2141–2152 (2021). https://doi.org/10.1007/s11036-021-01770-0

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  • DOI: https://doi.org/10.1007/s11036-021-01770-0

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