IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/df2py.html
   My bibliography  Save this paper

Menghindari Corona Bagian 4 Ujian On line

Author

Listed:
  • Razak, Muhammad Rais Rahmat

Abstract

Covig-19 memposisikan diri sebagai wabah dunia, karena penyebarannya cepat dan menimbulkan korban ribuan meninggal. Virus yang menurut media awalnya ditemukan berasal dari Wuhan China, kemudian menyebar cepat dan sekarang beberapa negara maju sudah menerapkan kebijakan LOCKDOWN seperti Italia, Spanyol, Amerika, Chine, dll. Covig-19 membawa perubahan cepat kepada prilaku manusia, pemerintah Indonesia menganjurkan social distancing daripada lock down, namun keyataannya beberapa daerah seperti Tegal menerapkan lockdown kemudian diralat menjadi lockdown wilayah. Dalam dunia pendidikan, kebijakan social distance kemudian diterapkan disekolah dan perguruan tinggi untuk mengganti proses belajar dari sebelumnya tatap muka menjadi daring. Hal ini menciptakan masalah baru, bagaimana dengan pelaksanaan ujiannya. Tulisan ini bertujuan untuk mencari metode dan aplikasi kemudian membuat pedomannya . Dengan penggunaan aplikasi socrative yang tersedia di internet dapat membantu mahasiswa dan dosen dalam melaksanakan ujian. Hasil penelusuran dan diskusi dengan mahasiswa dan dibuat dalam bentuk pedoman, maka dapat disimpulkan bahwa, aplikasi socrative dapat digunakan sebagai salah satu metode pelaksanaan ujian yang murah dan mudah dijalankan.

Suggested Citation

  • Razak, Muhammad Rais Rahmat, 2020. "Menghindari Corona Bagian 4 Ujian On line," OSF Preprints df2py, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:df2py
    DOI: 10.31219/osf.io/df2py
    as

    Download full text from publisher

    File URL: https://osf.io/download/5e87fc79d69735000fbe1f16/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/df2py?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:osf:osfxxx:df2py. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.