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Artificial intelligence-based learning model to improve the talents of higher education students towards the digitalization era

IAES International Journal of Artificial Intelligence · Vol. 13 No. 3 (2024) · hlm. 3611–3620

DOI
10.11591/ijai.v13.i3.pp3611-3620
ISSN
2252-8938, 2089-4872
Terbit
2024-09-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Artificial intelligence (AI) technology is a hallmark of the 4.0 revolution. The two main issues in Indonesia are infrastructure that needs to be equipped with technology and intelligence-based curriculum integrated with business and industry programs, and lecturers as educators who do not want to use and develop AI technology in applying guided learning models. This research aims to create a learning model based on AI that will help college students develop their talents while maintaining the Pancasila principles in the age of digitization. This study contains four stages: data collection, data analysis, research analysis outcomes, and validation of research analysis results. This research developed an AI-based learning model for use in higher education consisting of four dimensions: input, process, output, and outcome. The input dimension includes components such as students, lecturers, organizations, and infrastructure ready to adopt AI-based learning models. The process dimension consists of the elements that influence the operation of the AI-based learning model system and the functionality provided by the learning model. The output dimension includes characteristics that may be directly measured and process feedback. Finally, the outcome comprises the predicted outputs from the AI-based learning model.

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  • Universitas Muhammadiyah Prof Dr Hamka
  • Universitas Halu Oleo
  • State University of Semarang
  • National Research and Innovation Agency
  • Universitas Indraprasta PGRI
  • Pancasila University
  • Universitas Pradita
  • Organisasi lain
  • 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
Johan JohanBinus University3
Wati SukmawatiUniversitas Muhammadiyah Prof Dr Hamka2
Via NoorlatipahUniversitas Muhammadiyah Prof Dr Hamka2
Yingdong LiuUniversité de Strasbourg2
Ito WasitoUniversitas Pradita1
Tjan BasaruddinUniversity of Indonesia1
Gamal Abdel NasserUniversitas Halu Oleo1
Suriana SurianaUniversitas Halu Oleo1
Tjandra BuanaUniversitas Halu Oleo1
Sukmawati AbdullahUniversitas Halu Oleo1
Ima Astuty WunawarsihUniversitas Halu Oleo1
Nur Isiyana WiantiUniversitas Halu Oleo1
Tri Joko RaharjoState University of Semarang1
Harianingsih HarianingsihState University of Semarang1
Wiwik HidayatiAfiliasi tidak diketahui1
Bagus GinanjarAfiliasi tidak diketahui1
Atik YuliyaniAfiliasi tidak diketahui1
Tudrika AkhiliaAfiliasi tidak diketahui1
Alamsyah AlamsyahUniversitas Islam Negeri Raden Intan Lampung1
Samsudi SamsudiState University of Semarang1
Rasdi EkosiswoyoState University of Semarang1
Somariah FitrianiUniversitas Muhammadiyah Prof Dr Hamka1
Ahmad DiponegoroUniversitas Muhammadiyah Prof Dr Hamka1
Siti LatifahJenderal Soedirman University1
Elin MarlinaUniversitas Muhammadiyah Prof Dr Hamka1

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://ijai.iaescore.com/index.php/IJAI/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">Artificial intelligence-based learning model to improve the talents of higher education students towards the digitalization era</dc:title>
	<dc:creator>Wahjusaputri, Sintha</dc:creator>
	<dc:creator>Bunyamin, Bunyamin</dc:creator>
	<dc:creator>Indah Nastiti, Tashia</dc:creator>
	<dc:creator>Sopandi, Evi</dc:creator>
	<dc:creator>Subagyo, Tatang</dc:creator>
	<dc:creator>Veritawati, Ionia</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Artificial intelligence; Higher education; Industry 4.0; Learning model; Talent development</dc:subject>
	<dc:description xml:lang="en-US">Artificial intelligence (AI) technology is a hallmark of the 4.0 revolution. The two main issues in Indonesia are infrastructure that needs to be equipped with technology and intelligence-based curriculum integrated with business and industry programs, and lecturers as educators who do not want to use and develop AI technology in applying guided learning models. This research aims to create a learning model based on AI that will help college students develop their talents while maintaining the Pancasila principles in the age of digitization. This study contains four stages: data collection, data analysis, research analysis outcomes, and validation of research analysis results. This research developed an AI-based learning model for use in higher education consisting of four dimensions: input, process, output, and outcome. The input dimension includes components such as students, lecturers, organizations, and infrastructure ready to adopt AI-based learning models. The process dimension consists of the elements that influence the operation of the AI-based learning model system and the functionality provided by the learning model. The output dimension includes characteristics that may be directly measured and process feedback. Finally, the outcome comprises the predicted outputs from the AI-based learning model.</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>2024-09-01</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://ijai.iaescore.com/index.php/IJAI/article/view/23842</dc:identifier>
	<dc:identifier>10.11591/ijai.v13.i3.pp3611-3620</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 13, No 3: September 2024; 3611-3620</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v13.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/23842/14172</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-sa/4.0</dc:rights>
</oai_dc:dc>