Bibliometric Analysis: Interactive Learning Model Assisted by Digital Technology

Authors

DOI:

https://doi.org/10.56741/bei.v3i02.545


Keywords:

ARIAS, ASSURE, POE, Teaching Model, Virtual laboratory

Abstract

The world of education is evolving rapidly alongside technological advancements, demanding educators to adapt to the changing times and leverage technology. Consequently, various teaching models have emerged, prompting an analysis to evaluate their effectiveness. This study employs meta-analysis, drawing data from multiple scholarly journals, to assess existing teaching models. Such models are indispensable in education, particularly in school settings. Notable examples include ASSURE, POE, ARIAS, PBL, virtual labs, and technology-based approaches such as online platforms like WhatsApp, Google Classroom, and YouTube applications. Each teaching model exhibits distinct characteristics, allowing educators to integrate or select them according to specific needs. This analysis aims to empower educators to make informed decisions regarding the adoption and customization of teaching models.

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Author Biographies

Dewi Maulidah Nur Anjani, Universitas Ahmad Dahlan

is a student in the Master’s Program in Physics Education at Ahmad Dahlan University, Yogyakarta. She obtained her bachelor’s degree in Physics from Jenderal Soedirman University, Purwokerto. She has a keen interest in utilizing information and communication technology for various physics experiments. (email: dewimaulidahna@gmail.com).

Supatmi, SMA Negeri 5 Purwokerto

is a graduate of the Master’s Program on Physics Education at Universitas Ahmad Dahlan, Yogyakarta. She earned her bachelor’s degree in Physics from Sebelas Maret University, Surakarta in 1997. Currently, she works as a teacher at SMA Negeri 5 Purwokerto, Indonesia. (email: supatmi.widi@gmail.com).

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Published

2024-06-01

How to Cite

Anjani, D. M. N., & Supatmi. (2024). Bibliometric Analysis: Interactive Learning Model Assisted by Digital Technology. Buletin Edukasi Indonesia, 3(02), 62–69. https://doi.org/10.56741/bei.v3i02.545
Received 2024-03-23
Accepted 2024-05-30
Published 2024-06-01

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