Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

STEM-based digital disaster learning model for disaster adaptation ability of elementary school students

International Journal of Evaluation and Research in Education (IJERE) · Vol. 13 No. 5 (2024) · hlm. 3248–3258

DOI
10.11591/ijere.v13i5.29616
ISSN
2620-5440, 2252-8822
Terbit
2024-10-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Efforts are required to enhance community resilience to disasters, especially among elementary school students who are highly vulnerable to losses caused by natural disasters. In previous research, a science, technology, engineering, and mathematics (STEM) based digital disaster learning model was developed for elementary school students, so further research is needed to determine its effect on the adaptability of elementary school students. This study aimed to assess the impact of the STEM-based digital disaster learning model on the disaster adaptation abilities of elementary school students. This research is a quasi-experimental. The data collection instrument is the disaster adaptation ability essay test questions. The data analysis process uses the help of the SPSS 26 application. The findings found an average difference in students' disaster adaptation abilities between STEM-based digital learning models and conventional learning models. This finding was also reinforced by the post-test average scores of students who studied using STEM-based digital disaster learning models, which were higher than those with conventional learning models. So overall, the STEM-based digital disaster learning model increases elementary school students' disaster adaptation abilities. The implications of this research can be used as a reference in developing elementary school students' disaster adaptation abilities.

Kata kunci

Jaringan kolaborasi para penulis

25 penulis · 62 tautan kepenulisan bersama

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Negeri Padang
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Yanti Karmila NengsihAfiliasi tidak diketahui2
Yullys HelsaUniversitas Negeri Padang2
Yetti ArianiUniversitas Negeri Padang2
Sherlyane HendriUniversitas Negeri Padang2
Mufti RiyaniAfiliasi tidak diketahui2
Tengku Muhammad SahudraAfiliasi tidak diketahui2
Rachmatsyah RachmatsyahAfiliasi tidak diketahui2
Muhammad AzinarAfiliasi tidak diketahui1
Evy Ratna Kartika WatyAfiliasi tidak diketahui1
Shahid RasoolAfiliasi tidak diketahui1
Freddy IlfanAfiliasi tidak diketahui1
Muhammad IsaAfiliasi tidak diketahui1
Nurrahman FajriAfiliasi tidak diketahui1
Aljikri YantoAfiliasi tidak diketahui1
Rudi PutraAfiliasi tidak diketahui1
Rahmawati RahmawatiAfiliasi tidak diketahui1
Evy Ratna Kartika WatyAfiliasi tidak diketahui1
M. Arinal RahmanAfiliasi tidak diketahui1
Yuniria MukminAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijere.iaescore.com/index.php/IJERE/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">STEM-based digital disaster learning model for disaster adaptation ability of elementary school students</dc:title>
	<dc:creator>Arwin, Arwin</dc:creator>
	<dc:creator>Kenedi, Ary Kiswanto</dc:creator>
	<dc:creator>Anita, Yesi</dc:creator>
	<dc:creator>Hamimah, Hamimah</dc:creator>
	<dc:creator>Handrianto, Ciptro</dc:creator>
	<dc:creator>Zainil, Melva</dc:creator>
	<dc:subject xml:lang="en-US">Digital Disaster; Disaster; adaptation; Learning model; STEM</dc:subject>
	<dc:description xml:lang="en-US">Efforts are required to enhance community resilience to disasters, especially among elementary school students who are highly vulnerable to losses caused by natural disasters. In previous research, a science, technology, engineering, and mathematics (STEM) based digital disaster learning model was developed for elementary school students, so further research is needed to determine its effect on the adaptability of elementary school students. This study aimed to assess the impact of the STEM-based digital disaster learning model on the disaster adaptation abilities of elementary school students. This research is a quasi-experimental. The data collection instrument is the disaster adaptation ability essay test questions. The data analysis process uses the help of the SPSS 26 application. The findings found an average difference in students' disaster adaptation abilities between STEM-based digital learning models and conventional learning models. This finding was also reinforced by the post-test average scores of students who studied using STEM-based digital disaster learning models, which were higher than those with conventional learning models. So overall, the STEM-based digital disaster learning model increases elementary school students' disaster adaptation abilities. The implications of this research can be used as a reference in developing elementary school students' disaster adaptation abilities.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-10-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/29616</dc:identifier>
	<dc:identifier>10.11591/ijere.v13i5.29616</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 13, No 5: October 2024; 3248-3258</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v13i5</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/29616/14087</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>