IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i24p3151-d696775.html
   My bibliography  Save this article

E-Learning Development Based on Internet of Things and Blockchain Technology during COVID-19 Pandemic

Author

Listed:
  • Amir Masoud Rahmani

    (Future Technology Research Center, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan
    Amir Masoud Rahmani and Rizwan Ali Naqvi have contributed equally to this work.)

  • Rizwan Ali Naqvi

    (Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea
    Amir Masoud Rahmani and Rizwan Ali Naqvi have contributed equally to this work.)

  • Mazhar Hussain Malik

    (Department of Computing, Global College of Engineering and Technology, Muscat 112, Oman)

  • Tauqeer Safdar Malik

    (Department of Computer Science, Air University Multan Campus, Multan 60000, Pakistan)

  • Mahyar Sadrishojaei

    (Department of Industry, University of Applied Science and Technology (UAST), Tehran 11369, Iran)

  • Mehdi Hosseinzadeh

    (Pattern Recognition and Machine Learning Lab, Gachon University, 1342 Seongnamdaero, Sujeonggu, Seongnam 13120, Korea)

  • Ali Al-Musawi

    (Education Technology, Sultan Qaboos University, Muscat 112, Oman)

Abstract

The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational pursuits. Currently, the Internet of Things (IoT) is one of the most rapidly increasing technologies in today’s digital world; and e-learning is one of the most powerful learning methods available. In today’s world, smart devices and new technologies assist teachers in concentrating on new models of student learning while avoiding time wastage. By examining the characteristics of the Internet of Things and the challenges that exist in the field of e-learning, the potential functions, benefits, and advancements of utilizing the Internet of Things in online education are identified and discussed. This article examines the existing and future condition of the Internet of Things world as it pertains to the topic of education and sophisticated capabilities available through the Internet of Things that enable the application of e-learning after an architecture has been designed. Students’ pulse rates, brain waves, and skin resistance are measured in real time by a collection of IoT sensors, including cameras, microphones, and wearable gadgets. By utilizing the proposed architecture, universities can change their distance learning tactics to maximize resources and boost efficiency without changing their overall academic activities. According to the study’s findings, e-learning has a favorable and statistically significant impact on students’ flexibility, learning experience, educational productivity, and overall quality of education.

Suggested Citation

  • Amir Masoud Rahmani & Rizwan Ali Naqvi & Mazhar Hussain Malik & Tauqeer Safdar Malik & Mahyar Sadrishojaei & Mehdi Hosseinzadeh & Ali Al-Musawi, 2021. "E-Learning Development Based on Internet of Things and Blockchain Technology during COVID-19 Pandemic," Mathematics, MDPI, vol. 9(24), pages 1-13, December.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:24:p:3151-:d:696775
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/24/3151/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/24/3151/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francisco I. Chicharro & Elena Giménez & Íñigo Sarría, 2019. "The Enhancement of Academic Performance in Online Environments," Mathematics, MDPI, vol. 7(12), pages 1-13, December.
    2. Constantin-Eugen CORNEL, 2015. "The Role of Internet of Things for a Continuous Improvement in Education," Hyperion Economic Journal, Faculty of Economic Sciences, Hyperion University of Bucharest, Romania, vol. 3(2), pages 24-31, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mahyar Sadrishojaei & Faeze Kazemian, 2024. "Clustered Routing Scheme in IoT During COVID-19 Pandemic Using Hybrid Black Widow Optimization and Harmony Search Algorithm," SN Operations Research Forum, Springer, vol. 5(2), pages 1-25, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vilma Sukackė & Aida Olivia Pereira de Carvalho Guerra & Dorothea Ellinger & Vânia Carlos & Saulė Petronienė & Lina Gaižiūnienė & Silvia Blanch & Anna Marbà-Tallada & Andrea Brose, 2022. "Towards Active Evidence-Based Learning in Engineering Education: A Systematic Literature Review of PBL, PjBL, and CBL," Sustainability, MDPI, vol. 14(21), pages 1-31, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:24:p:3151-:d:696775. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.