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Evaluation of ChatGPT research in STEAM education

International Journal of Evaluation and Research in Education (IJERE) · Vol. 14 No. 1 (2025) · hlm. 598–611

DOI
10.11591/ijere.v14i1.30423
ISSN
2620-5440, 2252-8822
Terbit
2025-02-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Research focus of reviews trends and research on implementing ChatGPT in science, technology, engineering, arts, and math (STEAM) learning. It emphasizes the importance of deep learning and 21st-century skills in education, highlighting the limitations of ChatGPT in accuracy and credibility. The authors analyzed 204 STEAM education documents, revealing that 65% focused on technology education and less than 3% on art and mathematics education. The articles written in technology scope are the most widely circulated. The most productive region is the United States, which has three productive authors. The most productive authors are Ray (India) and Wang (Macao), who have the highest h-index. The United States and United Kingdom are the most productive affiliations. Many types of research on ChatGPT in STEAM education include a survey with several participants of different education levels. Social science is the most popular subject area. The Journal Nature is the primary source for this research. Several research highlighted artificial intelligence, ChatGPT, and human keywords. This study highlights the potential of ChatGPT in STEAM, suggesting further research on student behavior, learning designs, and credibility concerns. It suggests collaboration with Google Scholar or Web of Science data for in-depth analysis.

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26 penulis · 76 tautan kepenulisan bersama · 10 lintas organisasi

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  • Universitas Negeri Surabaya
  • Darul Ulum Islamic University
  • Universitas Madura
  • Indonesia University of Education
  • Alanya Alaaddin Keykubat Üniversitesi
  • Universitas Trunodjoyo Madura
  • 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
Nadi SupraptoAfiliasi tidak diketahui3
Titin SunartiUniversitas Negeri Surabaya2
Mohd Zaidi AmiruddinAfiliasi tidak diketahui2
Vivin Khoiri YantiAfiliasi tidak diketahui2
Nur Shabrina SafitriAfiliasi tidak diketahui2
Ida KaniawatiIndonesia University of Education1
Budi JatmikoUniversitas Negeri Surabaya1
Heny Ekawati HaryonoDarul Ulum Islamic University1
Moh ZayyadiUniversitas Madura1
Muhammed Akif KurtuluşAlanya Alaaddin Keykubat Üniversitesi1
Woro SetyarsihAfiliasi tidak diketahui1
Ermia Fadilata KhoirAfiliasi tidak diketahui1
Muhammad SatriawanUniversitas Negeri Surabaya1
Iqbal Ainur RizkiUniversitas Negeri Surabaya1
HUSNI MUBAROKAfiliasi tidak diketahui1
Desi WulandariAfiliasi tidak diketahui1
Hasan Nuurul HidayaatullaahAfiliasi tidak diketahui1
Alif Syaiful AdamAfiliasi tidak diketahui1
Mochammad AhiedUniversitas Trunodjoyo Madura1
Mochammad YasirAfiliasi tidak diketahui1
Erlina WardaniAfiliasi tidak diketahui1
Üyesi Muhammed Akif KurtulusAfiliasi tidak diketahui1

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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) 
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	<dc:title xml:lang="en-US">Evaluation of ChatGPT research in STEAM education</dc:title>
	<dc:creator>Prahani, Binar Kurnia</dc:creator>
	<dc:creator>Nisa’, Khoirun</dc:creator>
	<dc:creator>Suliyanah, Suliyanah</dc:creator>
	<dc:creator>Deta, Utama Alan</dc:creator>
	<dc:subject xml:lang="en-US">Bibliometric; ChatGPT; Education; Review; STEAM</dc:subject>
	<dc:description xml:lang="en-US">Research focus of reviews trends and research on implementing ChatGPT in science, technology, engineering, arts, and math (STEAM) learning. It emphasizes the importance of deep learning and 21st-century skills in education, highlighting the limitations of ChatGPT in accuracy and credibility. The authors analyzed 204 STEAM education documents, revealing that 65% focused on technology education and less than 3% on art and mathematics education. The articles written in technology scope are the most widely circulated. The most productive region is the United States, which has three productive authors. The most productive authors are Ray (India) and Wang (Macao), who have the highest h-index. The United States and United Kingdom are the most productive affiliations. Many types of research on ChatGPT in STEAM education include a survey with several participants of different education levels. Social science is the most popular subject area. The Journal Nature is the primary source for this research. Several research highlighted artificial intelligence, ChatGPT, and human keywords. This study highlights the potential of ChatGPT in STEAM, suggesting further research on student behavior, learning designs, and credibility concerns. It suggests collaboration with Google Scholar or Web of Science data for in-depth analysis.</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>2025-02-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/30423</dc:identifier>
	<dc:identifier>10.11591/ijere.v14i1.30423</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 14, No 1: February 2025; 598-611</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v14i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/30423/14268</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>