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    ML 2021 - 17th International Conference Mobile Learning 2021

    View: 349

    Website http://www.mlearning-conf.org/ | Edit Freely

    Category computer science; mobile learning; technologies in education; e-learning

    Deadline: January 22, 2021 | Date: March 03, 2021-March 05, 2021

    Venue/Country: online event, Online

    Updated: 2021-01-21 01:58:39 (GMT+9)

    Call For Papers - CFP

    * Conference Scope

    Mobile learning is concerned with a society on the move. In particular, with the study of “…how the mobility of learners augmented by personal and public technology can contribute to the process of gaining new knowledge, skills and experience” (Sharples et al. 2007).

    The ML Conference seeks to provide a forum for the presentation and discussion of mobile learning research which illustrate developments in the field.

    For more details and information about topics please check http://www.mlearning-conf.org/call-for-papers

    * Paper Submission

    This is a blind peer-reviewed conference. Authors are invited to submit their papers in English through the conference submission system. 2020. Submissions must be original and should not have been published previously.

    * Paper Publication

    The papers will be published in book and electronic format with ISBN, will be made available through the Digital Library available at http://www.iadisportal.org/digital-library/showsearch.

    The conference proceedings will be submitted for indexation by IET’s INSPEC, Elsevier, EI Compendex, Scopus, Thomson Reuters Web of Science, ERIC and other important indexing services.

    * Conference Contact:

    E-mail: secretariat@mlearning-conf.org

    Web site: http://www.mlearning-conf.org/

    * Organized by: International Association for Development of the Information Society


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.