Pengembangan E-Module Dengan Menggunakan Aplikasi Sigil Pada Mata Pelajaran Biologi  Kelas Xi Sma

Vidianti, Ade; Qonita, Tiara

doi:10.36050/betrik.v13i1.437

Cited by 1 publication

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“…Meanwhile, publications in international journals and national seminars are limited. 2020); the Rowntree model was carried out Vidianti & Qonita (2022). In addition, a small number of researchers did not mention the R&D model used, but mentioned the stages which included identification of potential and problems, design, validation, revision I, small-scale trial, revision II, largescale trials, final revision (Afifah et al, 2018;Leonora et al, 2021).…”

Section: Includedmentioning

confidence: 99%

Research trends on biology digital modules: A bibliometric analysis

Suwandi

Rahmat

Jamil

et al. 2023

Biosfer

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Currently there is widespread interest in the use of digital modules for learning. The availability of studies on research trends and development of digital modules, can be a need analysis for further development of digital modules. Therefore, this bibliometric analysis was conducted to explore research trends on biology digital modules over the last decade. The data used in this study are Google Scholar indexed articles in 2012-2022. A search through the Publish or Perish (PoP) application using the keywords "modul digital" OR "digital module" OR "e-modul" from 2012-2022 obtained 988 results, then the remaining 41 articles were analyzed using Microsoft Excel to analyze the data descriptively and VOSviewer to obtain bibliometric mapping visualizations. Based on a bibliometric analysis study in the area of biology digital modules , it is known that publications about biology digital modules have been recognized since 2015 to 2022, reaching a peak in 2021, and most of them come from Indonesia. The most widely applied type of research is R&D involving high school students. Critical thinking skills are one of the 21st century skills that are most widely included in biology digital modules . Network visualization shows that there are 45 terms that are relevant to the digital biology module and are grouped into 3 clusters. The overlay visualization shows that "STEM" is a term that will appear in the 2022s. Density visualization shows that "e-module", "research", and "development" are the 3 terms with the highest density. The findings of this study are expected to be a reference for other researchers in optimizing the role of digital modules to support student learning.

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Section: Includedmentioning

confidence: 99%