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AI-Based Teacher Guidance in Vocational Schools:A Systematic Review on Generative AI for Holistic Student Development and Administrative Support

Journal of Vocational and Career Education · Vol. 10 No. 2 (2025) · hlm. 175–194

DOI
10.15294/jvce.v11i2.45441
ISSN
2503-2305, 2339-0344
Terbit
2025-12-31
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

Generative artificial intelligence (GenAI) has emerged as a revolutionary technology in education, yet little is known about how GenAI can be specifically utilized to support teacher guidance and holistic student development, particularly in the context of vocational education. Evidence on how GenAI technology can enhance holistic student development in vocational schools, reduce administrative burdens, and support teacher guidance systems is explored in this systematic review. A synthesis of 45 peer-reviewed articles from the Scopus, Web of Science, and ERIC databases, published between 2020 and 2025 in accordance with PRISMA-ScR guidelines, was conducted. Five main thematic areas were identified through thematic analysis: (1) GenAI's function as a pedagogical assistant for individualized teacher support; (2) administrative automation that reduces teacher workload by thirty to forty percent; (3) natural language processing for qualitative analysis of student data; (4) comprehensive student development through career and character guidance; and (5) implementation challenges, including ethical issues, digital literacy gaps, and institutional readiness. These findings highlight GenAI's significant potential in addressing the teacher workload crisis, with approximately 40% of teachers' time spent on administrative tasks, while improving the quality of student guidance. However, its implementation still depends on resolving equity issues, developing robust institutional policies, and adopting human-centered pedagogical approaches. This review provides valuable insights for education practitioners, policymakers, and researchers seeking to implement sustainable AI-based guidance systems in vocational education. Recommendations include structured professional development programs, ethical frameworks for GenAI usage, and context-specific adaptation models for vocational schools, particularly in developing educational contexts.

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  • Yogyakarta State University
  • Indonesia Open University
  • State University of Semarang
  • Universitas Islam Negeri Abdul Muthalib Sangadji Ambon
  • Sebelas Maret University
  • University of Malaya
  • Shandong University
  • 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
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Rekan penulisOrganisasiArtikel bersama
Dian NurdianaIndonesia Open University3
Siti Hadijah HasanahIndonesia Open University2
Lim Boon HooiAfiliasi tidak diketahui2
Diyar NurmetovShandong University2
Nuur Wachid Abdul MajidIndonesia University of Education2
Ranu IskandarState University of Semarang2
Rochmad Novian InderanataYogyakarta State University2
Martias MartiasUniversitas Bina Sarana Informatika2
Mustofa Abi HamidSultan Ageng Tirtayasa University2
Dedi SetiawanUniversitas Negeri Padang2
Dwi Astuti AprijaniAfiliasi tidak diketahui1
Fitria AmastiniAfiliasi tidak diketahui1
Moh. Rizky Putra Aji UtamaAfiliasi tidak diketahui1
Siti Nursipa WulidaYogyakarta State University1
Muhammad Yusri Dzal YahyaYogyakarta State University1
St. JumaedaUniversitas Islam Negeri Abdul Muthalib Sangadji Ambon1
Eko Wahyunanto PrihonoUniversitas Islam Negeri Abdul Muthalib Sangadji Ambon1
Fitria LapeleUniversitas Islam Negeri Abdul Muthalib Sangadji Ambon1
Adeel AhmedAfiliasi tidak diketahui1
Jamatul Shahidah ShaariUniversity of Malaya1
Mohd Salleh AmanUniversity of Malaya1
Yudong TangNeijiang Normal University1
Suyanta SuyantaYogyakarta State University1
Sugito SugitoYogyakarta State University1
Sunaryo SoenartoYogyakarta State University1
Marwanti MarwantiYogyakarta State University1
Muhammad Furqon HidayatullahSebelas Maret University1
Fajar Sri WahyuniatiSebelas Maret University1
Sapta Kunta PurnamaSebelas Maret University1
Tomoliyus TomoliyusYogyakarta State University1
Setya RahayuState University of Semarang1
Soegiyanto SoegiyantoState University of Semarang1
Nur Rohmah MuktianiYogyakarta State University1

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) https://journal.unnes.ac.id/journals/jvce/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">AI-Based Teacher Guidance in Vocational Schools:A Systematic Review on Generative AI for Holistic Student Development and Administrative Support</dc:title>
	<dc:creator xml:lang="en">Dymyati, Ria </dc:creator>
	<dc:creator xml:lang="en">Siswantoyo , Siswantoyo </dc:creator>
	<dc:creator xml:lang="en">Sudira, Putu </dc:creator>
	<dc:creator xml:lang="en">Fadlullah, Yanuar Agung </dc:creator>
	<dc:creator xml:lang="en">Maulana, Muhamad Riyan </dc:creator>
	<dc:creator xml:lang="en">Yusuf, Arya </dc:creator>
	<dc:creator xml:lang="en">Syahria, Yoga </dc:creator>
	<dc:subject xml:lang="en">Generative AI</dc:subject>
	<dc:subject xml:lang="en">Teacher Support Systems</dc:subject>
	<dc:subject xml:lang="en">Holistic Student Development</dc:subject>
	<dc:subject xml:lang="en">Teacher Workload</dc:subject>
	<dc:subject xml:lang="en">Vocational Education</dc:subject>
	<dc:description xml:lang="en">Generative artificial intelligence (GenAI) has emerged as a revolutionary technology in education, yet little is known about how GenAI can be specifically utilized to support teacher guidance and holistic student development, particularly in the context of vocational education. Evidence on how GenAI technology can enhance holistic student development in vocational schools, reduce administrative burdens, and support teacher guidance systems is explored in this systematic review. A synthesis of 45 peer-reviewed articles from the Scopus, Web of Science, and ERIC databases, published between 2020 and 2025 in accordance with PRISMA-ScR guidelines, was conducted. Five main thematic areas were identified through thematic analysis: (1) GenAI's function as a pedagogical assistant for individualized teacher support; (2) administrative automation that reduces teacher workload by thirty to forty percent; (3) natural language processing for qualitative analysis of student data; (4) comprehensive student development through career and character guidance; and (5) implementation challenges, including ethical issues, digital literacy gaps, and institutional readiness. These findings highlight GenAI's significant potential in addressing the teacher workload crisis, with approximately 40% of teachers' time spent on administrative tasks, while improving the quality of student guidance. However, its implementation still depends on resolving equity issues, developing robust institutional policies, and adopting human-centered pedagogical approaches. This review provides valuable insights for education practitioners, policymakers, and researchers seeking to implement sustainable AI-based guidance systems in vocational education. Recommendations include structured professional development programs, ethical frameworks for GenAI usage, and context-specific adaptation models for vocational schools, particularly in developing educational contexts.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-12-31</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/jvce/article/view/45441</dc:identifier>
	<dc:identifier>10.15294/jvce.v11i2.45441</dc:identifier>
	<dc:source xml:lang="en">Journal of Vocational and Career Education; Vol. 10 No. 2 (2025): December 2025; 175-194</dc:source>
	<dc:source>2503-2305</dc:source>
	<dc:source>2339-0344</dc:source>
	<dc:source>10.15294/jvce.v10i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jvce/article/view/45441/8683</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Journal of Vocational and Career Education</dc:rights>
</oai_dc:dc>