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Deskoni Deskoni

Biographic Data

ID10067684
NAMEDeskoni Deskoni
GIVEN NAMESDeskoni
FAMILY NAMEDeskoni
SIGNATUREDESKONI D
AFFILIATIONSSriwijaya University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Analysis of the Learning Models Needs in Hybrid Class Microteaching to Improve the Teaching Competencies

    Open Access•Deskoni Deskoni, Alfiandra Alfiandra et al.•ARTICLE•International Journal of…•2023

    The purpose of this study is to analyze the need for learning models in microteaching courses for hybrid learning environments. Quantitative descriptive techniques are the research methods used; these techniques are intended to use quantitative data to describe and analyze specific phenomena or variables in the population. This approach aims to give an accurate picture of the situation or phenomenon under study rather than to test a hypothesis or…

No prominent works on this page.

  • Analysis of the Learning Models Needs in Hybrid Class Microteaching to Improve the Teaching Competencies

    Open Access•Deskoni Deskoni, Alfiandra Alfiandra et al.•ARTICLE•International Journal of…•2023

    The purpose of this study is to analyze the need for learning models in microteaching courses for hybrid learning environments. Quantitative descriptive techniques are the research methods used; these techniques are intended to use quantitative data to describe and analyze specific phenomena or variables in the population. This approach aims to give an accurate picture of the situation or phenomenon under study rather than to test a hypothesis or…

Artificial Intelligence (1 work) · Computer Science (1 work) · Descriptive statistics (1 work) · E-Learning and COVID-19 (1 work) · Mathematics (1 work) · Mathematics education (1 work) · Medical education (1 work) · Medicine (1 work) · Microteaching (1 work) · Online and Blended Learning (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