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Moch Najib

Biographic Data

ID10170808
NAMEMoch Najib
GIVEN NAMESMoch
FAMILY NAMENajib
SIGNATURENAJIB M
AFFILIATIONSUniversitas Pgri Banyuwangi
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Effectiveness of offline and online learning during Covid-19 pandemic

    Open Access•Moch Najib, Agus Mursidi•ARTICLE•Linguistics and Culture Review•2021

    This study aims to determine the effectiveness of offline learning and online learning with a two-factor analysis of variance approach. The subjects in this study were undergraduate students of FKIP PGRI Banyuwangi University from the history education study program. method Quasi Experimental Design which has two groups, namely online and offline, which cannot fully function to control external variables that can affect the experiment. The popula…

No prominent works on this page.

  • Effectiveness of offline and online learning during Covid-19 pandemic

    Open Access•Moch Najib, Agus Mursidi•ARTICLE•Linguistics and Culture Review•2021

    This study aims to determine the effectiveness of offline learning and online learning with a two-factor analysis of variance approach. The subjects in this study were undergraduate students of FKIP PGRI Banyuwangi University from the history education study program. method Quasi Experimental Design which has two groups, namely online and offline, which cannot fully function to control external variables that can affect the experiment. The popula…

Computer Science (1 work) · Demography (1 work) · Educational Curriculum and Learning Methods (1 work) · Mathematics (1 work) · Mathematics education (1 work) · Medicine (1 work) · Multimedia (1 work) · Online and offline (1 work) · Online learning (1 work) · Online Learning Methods and Innovations (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae