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A blockchain-based online language learning system

Author

Listed:
  • Xia Sun

    (Wuhan College)

  • Jinglin Zou

    (Wuhan University)

  • Li Li

    (Wuhan University)

  • Min Luo

    (Wuhan University)

Abstract

To check students’ daily language learning tasks and give students corresponding reasonable scores based on their daily behavior is hard for teachers. The existing online language learning systems are vulnerable and easy to be modified by teachers or system managers. Blockchain can provide immutable and trusted storage service and automatic calculation service. Therefore, a blockchain-based online language learning system is proposed in this paper to monitor students’ daily study and automatically evaluate their behavior so as to save teachers from tedious and complex homework verification workload and provide trusted and reliable evaluation on students’ behavior. This paper first introduces the current situation of language learning in universities and the related works on blockchain-based online language learning system. Then the system is detailed in its structure and smart contracts. At last, we implement this system and do the analysis and summary.

Suggested Citation

  • Xia Sun & Jinglin Zou & Li Li & Min Luo, 2021. "A blockchain-based online language learning system," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(2), pages 155-166, February.
    • Handle: RePEc:spr:telsys:v:76:y:2021:i:2:d:10.1007_s11235-020-00699-1
    DOI: 10.1007/s11235-020-00699-1
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    References listed on IDEAS

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    1. Alexander Grech & Anthony Camilleri, 2017. "Blockchain in Education," JRC Research Reports JRC108255, Joint Research Centre.
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    Cited by:

    1. Mao Zhao & Wei Liu & Abu Naser Mohammad Saif & Bo Wang & Rasheda Akter Rupa & K. M. Anwarul Islam & S. M. Masudur Rahman & Nusrat Hafiz & Rehnuma Mostafa & Mohammad Anisur Rahman, 2023. "Blockchain in Online Learning: A Systematic Review and Bibliographic Visualization," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    2. Jabeen, Fauzia & Kaur, Puneet & Talwar, Shalini & Malodia, Suresh & Dhir, Amandeep, 2022. "I love you, but you let me down! How hate and retaliation damage customer-brand relationship," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Gregory Korotenko & Leonid Korotenko, 2021. "Formation of a Programming Languages Stack and a methodology of teaching to students specialized in Computer Science at Technical Universities in the context of interdisciplinarity," Technium Sustainability, Technium Science, vol. 1(1), pages 21-33.
    4. repec:thr:techub:v:1:y:2021:i:1:p:21-33 is not listed on IDEAS

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