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Development of a Vocational Career Guidance Module to Improve Career Decision-Making Skills of Social Work Students

Journal of Vocational and Career Education · Vol. 11 No. 1 (2026) · pp. 17–24

DOI
10.15294/jvce.v11i1.37982
ISSN
2503-2305, 2339-0344
Published
2026-07-31
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Career decision-making challenges remain a critical issue in vocational education, particularly at the secondary level, where many students choose majors that do not align with their interests and abilities. This condition highlights the need for early career guidance to help students map their career paths and develop their competencies appropriately. This study aims to develop a vocational career guidance module for Social Work students; to determine the validity of the module based on expert evaluation; to analyze the validity and reliability of the test instruments; and to examine the effectiveness, efficiency, practicality, and implementability of the module. This research employed the ADDIE R&D model involving 60 tenth-grade students of SMK Negeri 5 Samarinda, divided into experimental and control groups. The results indicate that the module is highly feasible, with material expert validation at 94% and media expert validation at 91%. The test instrument demonstrates strong quality, with 30 of 33 items deemed valid and a Cronbach’s Alpha reliability of 0.925. The module is proven to be highly effective (91.6%), efficient (89.6%), and practical (93.8%), with an implementation rate of 86%. In addition, teacher and student responses reached 90.8% (excellent category). Statistical analysis confirms significant improvement in students’ career decision-making skills, with tcount = 13.396 > ttable = 2.002, Sig. = 0.000, and an N-gain score of 0.72964 (high category). These results show that the developed module effectively enhances the career decision-making skills of Social Work vocational students.

Keywords

Collaboration network of the authors

35 authors · 54 co-authorship links · 1 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Diponegoro University
  • Universitas Islam Negeri Maulana Malik Ibrahim
  • Institut Teknologi Sepuluh Nopember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Maria KrisnawatiAffiliation unknown4
Ksaktiana MarantikaAffiliation unknown1
Rina HidayantikaAffiliation unknown1
Ratna Wahyu SetyaniAffiliation unknown1
Nurul HakikiAffiliation unknown1
Laelatul FitriAffiliation unknown1
Layyina Nurul NahariyahAffiliation unknown1
Marwiyah MarwiyahAffiliation unknown1
Ghina Nurul AzmiAffiliation unknown1
ayu umi fitriaAffiliation unknown1
Galuh Puspita AriputriAffiliation unknown1
Syaerozi SyaeroziAffiliation unknown1
Sutarno SutarnoAffiliation unknown1
Hendro WibowoAffiliation unknown1
Ranggri Pratama R PutraAffiliation unknown1
Djuniadi DjuniadiAffiliation unknown1
Nur Endah IrwantiAffiliation unknown1
Suryono SuryonoDiponegoro University1
Ana Qurrota A'yunAffiliation unknown1
Fakhruddin FakhruddinUniversitas Islam Negeri Maulana Malik Ibrahim1
Alfiyan ParamuditaAffiliation unknown1
Suwito Eko PramonoAffiliation unknown1
Tri harto Eka SutrisnaAffiliation unknown1
Sugiyo SugiyoAffiliation unknown1
Saiman SaimanAffiliation unknown1
Arief KurniawanInstitut Teknologi Sepuluh Nopember1
Winarno Dwi RahardjoAffiliation unknown1
Fakih Husni FirdausAffiliation unknown1
Analia SusantiAffiliation unknown1
Yeri SutopoState University of Semarang1
Sri Endah WahyuningsihAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/jvce/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Development of a Vocational Career Guidance Module to Improve Career Decision-Making Skills of Social Work Students</dc:title>
	<dc:creator xml:lang="en">Latifah, Laila</dc:creator>
	<dc:creator xml:lang="en">Basyirun, Basyirun</dc:creator>
	<dc:creator xml:lang="en">Ihsani, Ade Novi Nurul </dc:creator>
	<dc:creator xml:lang="en">Supraptono, Eko </dc:creator>
	<dc:subject xml:lang="en">career guidance</dc:subject>
	<dc:subject xml:lang="en">career decision-making</dc:subject>
	<dc:subject xml:lang="en">vocational module</dc:subject>
	<dc:subject xml:lang="en">vocational students</dc:subject>
	<dc:subject xml:lang="en">social work students</dc:subject>
	<dc:description xml:lang="en">Career decision-making challenges remain a critical issue in vocational education, particularly at the secondary level, where many students choose majors that do not align with their interests and abilities. This condition highlights the need for early career guidance to help students map their career paths and develop their competencies appropriately. This study aims to develop a vocational career guidance module for Social Work students; to determine the validity of the module based on expert evaluation; to analyze the validity and reliability of the test instruments; and to examine the effectiveness, efficiency, practicality, and implementability of the module. This research employed the ADDIE R&amp;amp;D model involving 60 tenth-grade students of SMK Negeri 5 Samarinda, divided into experimental and control groups. The results indicate that the module is highly feasible, with material expert validation at 94% and media expert validation at 91%. The test instrument demonstrates strong quality, with 30 of 33 items deemed valid and a Cronbach’s Alpha reliability of 0.925. The module is proven to be highly effective (91.6%), efficient (89.6%), and practical (93.8%), with an implementation rate of 86%. In addition, teacher and student responses reached 90.8% (excellent category). Statistical analysis confirms significant improvement in students’ career decision-making skills, with tcount = 13.396 &amp;gt; ttable = 2.002, Sig. = 0.000, and an N-gain score of 0.72964 (high category). These results show that the developed module effectively enhances the career decision-making skills of Social Work vocational students.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-07-31</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/37982</dc:identifier>
	<dc:identifier>10.15294/jvce.v11i1.37982</dc:identifier>
	<dc:source xml:lang="en">Journal of Vocational and Career Education; Vol. 11 No. 1 (2026): July 2026; 17-24</dc:source>
	<dc:source>2503-2305</dc:source>
	<dc:source>2339-0344</dc:source>
	<dc:source>10.15294/jvce.v11i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jvce/article/view/37982/7413</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Journal of Vocational and Career Education</dc:rights>
</oai_dc:dc>