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	<title>work-based learning &#8211; Science</title>
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		<title>Vocational Schools Could Turn Construction Workers Into Entrepreneurs, Review Finds</title>
		<link>https://scienmag.com/vocational-schools-could-turn-construction-workers-into-entrepreneurs-review-finds/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Tue, 06 Oct 2026 14:50:24 +0000</pubDate>
				<category><![CDATA[Science Education]]></category>
		<category><![CDATA[building micro-enterprises through vocational education]]></category>
		<category><![CDATA[career ecosystems]]></category>
		<category><![CDATA[career transformation]]></category>
		<category><![CDATA[construction sector]]></category>
		<category><![CDATA[entrepreneurial skills development in vocational schools]]></category>
		<category><![CDATA[entrepreneurship]]></category>
		<category><![CDATA[entrepreneurship training for skilled trades]]></category>
		<category><![CDATA[formalizing informal apprenticeships]]></category>
		<category><![CDATA[Global South]]></category>
		<category><![CDATA[impact of TVET on construction sector]]></category>
		<category><![CDATA[Indonesia]]></category>
		<category><![CDATA[infrastructure development and workforce entrepreneurship]]></category>
		<category><![CDATA[institutional policy]]></category>
		<category><![CDATA[role of vocational schools in construction industry]]></category>
		<category><![CDATA[skill formation]]></category>
		<category><![CDATA[small enterprise]]></category>
		<category><![CDATA[transforming construction workers into entrepreneurs]]></category>
		<category><![CDATA[TVET]]></category>
		<category><![CDATA[vocational education]]></category>
		<category><![CDATA[vocational education policy in emerging economies]]></category>
		<category><![CDATA[vocational training and economic development in Indonesia]]></category>
		<category><![CDATA[vocational training for construction workers]]></category>
		<category><![CDATA[work-based learning]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=241726</guid>

					<description><![CDATA[A new evidence review shows how vocational education can transform construction workers into entrepreneurs through technical competence, institutional support, and ecosystem access.]]></description>
										<content:encoded><![CDATA[<p>For millions of construction workers around the world, the path from laying bricks on someone else&#8217;s site to running their own contracting business has always been a matter of luck, hustle, and informal apprenticeships. A new review published in Discover Education argues that this transformation should not be left to chance. Drawing on 52 publications and institutional sources spanning more than two decades, researchers from Universitas Negeri Yogyakarta and Universitas Negeri Jakarta present a framework showing how technical and vocational education and training, commonly known as TVET, can deliberately convert occupational competence into entrepreneurial careers. The study, led by Daniel Jesayanto Jaya with colleagues Putu Sudira and Nuryadin Eko Raharjo, repositions vocational education from a pipeline into wage employment to a multi-level system capable of producing business owners, subcontractors, and micro-enterprise founders.</p>
<p>The timing of the research is significant. Infrastructure development remains a pillar of economic strategy in emerging economies such as Indonesia, where the construction sector absorbs workers with wildly varying educational backgrounds and employment arrangements. Policy initiatives, including Presidential Regulation No. 68 of 2022 and the National Strategy for Vocational Education and Vocational Training, have formally committed the country to strengthening vocational education. Yet the authors contend that a narrow interpretation of TVET as simply a jobs pipeline is no longer sufficient. Workers increasingly need the capacity to reconfigure their careers, create economic opportunities, and participate in entrepreneurial ecosystems, particularly as technological disruption, demographic change, and the reorganization of labour markets reshape the future of work.</p>
<p>Construction, the researchers argue, offers an unusually fertile setting for this kind of career transformation. Unlike sectors where starting a business demands large capital investments or sophisticated technological assets, many construction ventures can begin with little more than occupational skill, project experience, professional relationships, basic tools, and local demand. An experienced mason, carpenter, plumber, electrician, or site supervisor can plausibly become a subcontractor, renovation-service provider, building-maintenance entrepreneur, cost estimator, materials supplier, or small contractor. The project-based nature of the industry, with its layered contracting and subcontracting arrangements, means workers routinely move between sites, clients, and firms, accumulating the market awareness and relational capital that later underpin independent enterprise.</p>
<p>To explain how this conversion actually happens, the team conducted a structured thematic evidence review covering literature published between 2000 and 2024 in Scopus, Web of Science, ERIC, and Google Scholar, supplemented by citation tracking and policy documents. A targeted update covering January 2025 to June 2026 refreshed the theoretical and international context. Rather than treating the evidence base as a statistical sample, the researchers used thematic synthesis, coding findings into descriptive categories and then developing higher-order analytical themes. The process yielded five interrelated clusters: construction-sector opportunity structures, vocational skill formation, entrepreneurial capability development, institutional and policy scaffolding, and psychological and socio-cultural mediation.</p>
<p>These clusters converge into three enabling drivers that form the backbone of the proposed framework. The first is vocationally enhanced individual agency. Technical competence, the review finds, provides the foundation for occupational credibility, confidence, and autonomy. In construction, no worker can credibly offer independent services without mastery of occupational standards, measurement, materials, safety practices, scheduling, and quality control. But competence alone is not enough. It becomes career-transformative only when workers can make decisions, assume responsibility, evaluate risk, and recognize the economic value of their expertise. The authors stress that technical learning contributes most strongly to entrepreneurial readiness when learners plan work, solve authentic problems, evaluate quality, and communicate professional decisions.</p>
<p>The second driver is institutional and policy scaffolding. Entrepreneurship is often framed as a purely individual choice, but the review emphasizes that transitions are heavily shaped by certification systems, procurement access, financing, mentoring, licensing, insurance, taxation, and market trust. In construction, these barriers are formidable. TVET institutions can reduce them by acting as connectors, partnering with contractors, professional associations, certification bodies, local governments, financial institutions, and business incubators. International evidence cited in the review shows the downside of getting this wrong: fragmented governance, weak industry-education collaboration, and insufficient practical training can hobble workforce development even when formal vocational policies exist on paper.</p>
<p>The third driver is entrepreneurial ecosystem support, the broader web of market demand, professional networks, technology, finance, and social legitimacy that determines whether individual capability and institutional support can actually be mobilized into sustained business activity. The framework is explicit that the three drivers are interdependent. Individual capability without institutional support may never lead to enterprise formation. Institutional support without occupational competence may produce weak or unsafe services. And both can remain ineffective when market demand, professional networks, and social legitimacy are absent. This systems-level logic draws on career ecosystem theory, sustainable career theory, and the Systems Theory Framework, integrated with TVET philosophies ranging from pragmatism to essentialism and reconstructionism.</p>
<p>One of the review&#8217;s most consequential findings concerns pedagogy. Entrepreneurship education, the authors argue, should not be a generic theoretical module bolted onto technical training. Instead, entrepreneurial capability should be learned through authentic construction tasks: preparing estimates, developing quotations, communicating with clients, documenting safety requirements, scheduling activities, coordinating labour and materials, and evaluating profitability. Challenge-based entrepreneurship courses in vocational schools, which expose learners to real-world problems and external stakeholders, show promise, although outcomes depend on course design and learners&#8217; prior entrepreneurial orientations. Construction-oriented incubators within vocational institutions could go further, allowing learners and graduates to prototype renovation services, digital drafting offerings, energy-efficiency solutions, and maintenance packages before entering the market.</p>
<p>The review is notably candid about the psychological and socio-cultural dimensions of the transition. Moving from employee to entrepreneur requires what the authors call occupational identity reconstruction, a shift in how workers see themselves, from skilled labourers to service providers, subcontractors, or business owners. This process is mediated by self-efficacy, resilience, family expectations, community norms, risk tolerance, and social legitimacy. In communities where family and social relationships strongly shape economic decisions, entrepreneurship may be seen either as a desirable route to independence or as an unstable gamble. Gender, social background, and access to institutional resources matter too, with evidence from the Caribbean showing that structural inequalities can block the path from skills training to sustainable self-employment unless mentoring and gender-sensitive practices accompany it.</p>
<p>Equally important is the review&#8217;s refusal to romanticize entrepreneurship. The authors distinguish between opportunity-driven transitions, associated with autonomy and upward mobility, and necessity-driven ones, in which workers turn to self-employment because of unemployment, unstable contracts, or limited career progression. Treating all entrepreneurial activity as evidence of career success, they warn, obscures unstable income, limited social protection, and occupational risk. Formalization presents its own tension: licensing, certification, and safety regulation can raise quality and legitimacy but may impose costs that micro-enterprises struggle to meet, suggesting a need for transitional and proportionate support.</p>
<p>The framework&#8217;s implications extend well beyond Indonesia. Many Global South economies share project-based employment, informal work, uneven certification, restricted access to capital, and reliance on community networks, making the mechanisms broadly transferable. Internationally, digitalization and the green transition are creating new entrepreneurial niches in energy-efficient renovation, building information modelling, circular construction, and digital project documentation, all of which demand continuously updated competencies. The authors call for longitudinal studies, comparative case studies, and intervention evaluations to test the framework empirically, including whether it operates differently across gender, migration status, informality, and digital access. Their central insight, however, is already clear: occupational competence becomes career-transformative only when workers can interpret and mobilize it as a resource for entrepreneurial action, and vocational institutions must be designed to help them do exactly that.</p>
<p><strong>Subject of Research:</strong> The role of technical and vocational education and training in supporting entrepreneurial career transformation among construction sector workers</p>
<p><strong>Article Title:</strong> Vocational education for entrepreneurial career transformation in the construction sector</p>
<p><strong>Article References:</strong> Jaya, D. J., Sudira, P., &amp; Raharjo, N. E. (2026). Vocational education for entrepreneurial career transformation in the construction sector. <em>Discover Education, 5</em>(1), Article 1129. <a href="https://doi.org/10.1007/s44217-026-02239-6" rel="noopener noreferrer">https://doi.org/10.1007/s44217-026-02239-6</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44217-026-02239-6" rel="noopener noreferrer">10.1007/s44217-026-02239-6</a></p>
<p><strong>Keywords:</strong> vocational education, TVET, entrepreneurship, construction sector, career transformation, work-based learning, Indonesia, Global South, career ecosystems, skill formation, institutional policy, small enterprise</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">241726</post-id>	</item>
		<item>
		<title>Inside Thailand&#8217;s Equity Experiment: What 61 Vocational Scholars Reveal About Work-Based Learning</title>
		<link>https://scienmag.com/inside-thailands-equity-experiment-what-61-vocational-scholars-reveal-about-work-based-learning/</link>
		
		<dc:creator><![CDATA[Drew Townsend]]></dc:creator>
		<pubDate>Sat, 03 Oct 2026 14:54:10 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[addressing educational inequality in Thailand]]></category>
		<category><![CDATA[curriculum alignment]]></category>
		<category><![CDATA[disadvantaged vocational students Thailand]]></category>
		<category><![CDATA[dual vocational education]]></category>
		<category><![CDATA[education policy for marginalized youth]]></category>
		<category><![CDATA[educational inequality]]></category>
		<category><![CDATA[Equitable Education Fund]]></category>
		<category><![CDATA[equitable education in Southeast Asia]]></category>
		<category><![CDATA[labor-market mismatch in vocational training]]></category>
		<category><![CDATA[mixed methods]]></category>
		<category><![CDATA[NEET youth]]></category>
		<category><![CDATA[Principal Component Analysis]]></category>
		<category><![CDATA[Provincial TVET Model evaluation]]></category>
		<category><![CDATA[student well-being]]></category>
		<category><![CDATA[Thailand]]></category>
		<category><![CDATA[Thailand vocational education]]></category>
		<category><![CDATA[TVET]]></category>
		<category><![CDATA[vocational mentorship programs Thailand]]></category>
		<category><![CDATA[vocational scholarship programs Thailand]]></category>
		<category><![CDATA[vocational scholarships]]></category>
		<category><![CDATA[work-based learning]]></category>
		<category><![CDATA[work-based learning in Thailand]]></category>
		<category><![CDATA[work-based training impact Thailand]]></category>
		<category><![CDATA[youth employment and NEET rates Thailand]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=230406</guid>

					<description><![CDATA[A new mixed-methods study of Thailand's EEF Provincial TVET Model finds favorable student support conditions and strong instructor-rated competencies, while flagging curriculum-workplace alignment and work-based learning monitoring as priorities for further evaluation.]]></description>
										<content:encoded><![CDATA[<p>Thailand&#8217;s fight against educational inequality has a new evidence base. A study published in Heliyon has provided one of the first integrated looks at how disadvantaged vocational students experience teaching, learning, and work-based training under the Equitable Education Fund&#8217;s Provincial TVET Model, a policy designed to connect vocational education with the economic realities of individual provinces. The research, led by Pinit Nuangpirom and colleagues, combined questionnaires from 61 scholarship students and 11 mentor instructors across six vocational institutions in three provinces with brief interviews covering all 72 participants. The result is a detailed, if deliberately cautious, portrait of a program that sits at the intersection of youth vulnerability, labor-market mismatch, and one of Southeast Asia&#8217;s most persistent policy challenges: keeping young people connected to education and meaningful work.</p>
<p>The stakes are considerable. Recent data from Thailand&#8217;s National Statistical Office show that the proportion of young people aged 15 to 24 who are not in employment, education, or training, the so-called NEET rate, remained at 12.2 percent in 2025. For disadvantaged vocational learners, vulnerability is rarely a single problem; it is typically a tangle of household financial pressure, debt burdens, unstable living conditions, limited access to counseling, and uncertainty about employment after graduation. The Equitable Education Fund, established as a policy mechanism to reduce educational inequality, addresses this through two connected pathways: scholarships and student-support mechanisms that ease financial, living, and psychosocial constraints, and dual-education arrangements that place students in real workplaces as part of their formal curriculum. The new study set out to examine how these pathways actually feel to the people living them.</p>
<p>The research design was quantitative-led and explanatory. All 61 EEF scholarship recipients enrolled in the first year of Higher Vocational Certificate programs at the six participating institutions took part, alongside all 11 mentor teachers responsible for supervising them. The provinces were chosen for policy relevance rather than statistical representativeness: Kamphaeng Phet, with an economy anchored in agriculture and agricultural machinery; Khon Kaen, oriented toward business, digital technology, and industrial and service sectors; and Phuket, where tourism and marine-related services dominate. The eight programs on offer, from agricultural machinery and animal science to digital business technology, electrical work, accounting, and marine maintenance, mirror these local labor markets, reflecting the Provincial Model&#8217;s emphasis on area-based workforce development.</p>
<p>The students&#8217; answers painted a broadly reassuring picture of daily conditions. On a six-point scale scored from 0 to 5, ratings for living-environment indicators clustered high: medical-service adequacy averaged 4.46, housing safety 4.43, and food-service availability 4.41. Stress ratings were low, with means between 1.40 and 1.57 across study-related, adaptation-related, and personal stress. Ratings of academic, family, relationship, and legal or safety problems were similarly low, and students reported moderate-to-strong family, peer, and institutional support. Perhaps most striking, 90.2 percent of the 51 students who answered the debt question reported having no personal debt at all, and 71.2 percent reported monthly savings of only 0 to 500 baht, a pattern suggesting that while these students are not heavily indebted, most have very little financial cushion.</p>
<p>To probe the structure behind these numbers, the team harmonized the scoring direction of all 28 rating indicators so that higher values consistently meant more favorable conditions, then computed Pearson correlations among the six domain scores. Lower stress covaried moderately with lower personal risk (r = 0.67), favorable living conditions tracked with adaptation (r = 0.60), and adaptation linked with engagement and support (r = 0.48 and 0.46). A Spearman rank-based sensitivity analysis confirmed these patterns, with the two sets of coefficients correlating at 0.983. An exploratory principal component analysis then condensed the six domains into three components explaining 36.0, 28.9, and 14.7 percent of the variance respectively. The first component captured a broad pattern of adaptation, living conditions, and support; the second separated low stress and low risk from engagement-related variation; the third contrasted engagement with support. The authors are explicit that these are descriptive summaries of one sample, not validated psychological constructs.</p>
<p>The instructor data added a second lens. Eleven mentor teachers rated students&#8217; living conditions, well-being, and adjustment, generally favorably: physical health averaged 4.45, access to counseling 4.36, and adaptation to new environments 4.50. Stress and anxiety, rated at 2.64 on average, and depressive symptoms at 1.36, stood out as the relatively weaker indicators, a combination the authors note is consistent with wider evidence that vocational learners can experience stress even when institutional support is adequate. On competencies, the instructors were emphatic about strengths: teamwork averaged 4.50, use of technology for learning 4.45, intercultural communication 4.27, and self-management 4.18, while honesty and integrity and professional ethics both topped the scale at 4.68. These are perceptions, the study stresses, not workplace competency assessments, and cannot be attributed specifically to work-based learning exposure.</p>
<p>Curriculum ratings, completed by nine of the eleven instructors, were also favorable. Curriculum alignment with occupational standards and local needs averaged 4.28, learning design 4.39, teaching methods 4.56, and assessment of learning outcomes 4.61, with medians between 4.00 and 5.00 across the domain. Instructor professional development was the most variable item at 4.06 with a standard deviation of 1.38. Yet here the study&#8217;s most interesting tension emerges: despite these favorable instructor ratings, the brief interviews with all 72 participants most frequently recorded concerns about curriculum alignment with local competencies, the need to improve competency-based assessment, and the desire for stronger dual training through work-integrated learning. Because the interview field notes were combined across student and instructor groups and were not audio-recorded or transcribed verbatim, the authors treat these categories as contextual signals rather than contradictory evidence, but the coexistence of high curriculum ratings and frequent alignment concerns is precisely the kind of finding that invites closer workplace-level scrutiny.</p>
<p>The methodological honesty of the paper is itself notable. The instruments were validated in three stages, with expert content validity assessed using the Index of Item-Objective Congruence, where all retained items scored at or above the 0.67 threshold, and preliminary reliability estimated with Cronbach&#8217;s alpha and McDonald&#8217;s omega, which ranged from 0.609 to 0.854 and 0.651 to 0.870 respectively across student domains. The authors repeatedly caution that the domains are diagnostic indicators for these specific settings rather than fully validated psychometric scales, that the cross-sectional design prevents causal claims, and that the study deliberately excluded direct evidence from workplace mentors, employers, placement records, or competency assessments. Missing data on the three categorical health, debt, and savings indicators, 25, 10, and 2 missing responses respectively, were handled by exclusion rather than imputation, so they did not contaminate the correlation or PCA results.</p>
<p>What the study ultimately offers is a map of where to look next. The authors frame their policy implications as priorities for continued evaluation rather than demonstrated effects: scholarship support and targeted financial assistance remain relevant for some students even when average stress is low; the alignment between institutionally assigned courses and authentic workplace tasks, which the program structure explicitly allows to vary across placements, deserves direct monitoring; and competency-based assessment and employer participation emerge as natural next targets for investigation. They also point toward the future of vocational education analytics, noting that deep-learning ensemble approaches for predicting outcomes in outcome-based education would require larger longitudinal samples, direct workplace assessments, and transparent validation before they could supplement professional judgment in programs like this one.</p>
<p>For a model that explicitly ties vocational education to provincial economic structures, the study&#8217;s core contribution is integration: it places student-reported experience, instructor-rated observation, and contextual interview evidence within a single empirical frame, something earlier research on Thai vocational education had not done for the EEF Provincial TVET Model. The picture that emerges is of a program whose support scaffolding appears to be working, with favorable living conditions, low reported stress, and strong perceived institutional backing, while its work-based learning machinery, the part that most directly determines whether classroom learning translates into workplace capability, remains the least directly measured and most frequently questioned element. Longitudinal follow-up across the four-semester alternating structure, with employer assessments and graduate employment outcomes, would be needed to establish whether this equity-oriented experiment delivers on its central promise: helping disadvantaged young Thais move from vulnerability into skilled, locally relevant employment.</p>
<p><strong>Subject of Research:</strong> Teaching-learning conditions and work-based learning under Thailand&#x27;s EEF Provincial TVET Model for disadvantaged vocational students</p>
<p><strong>Article Title:</strong> Teaching–learning and work-based learning conditions in Thailand&#x27;s EEF provincial TVET model</p>
<p><strong>Article References:</strong> Nuangpirom, P., Nakkiew, W., Nakkiew, W., Pitjamit, S., Pisutha-Arnond, N., &amp; Jewpanya, P. (2026). Teaching–learning and work-based learning conditions in Thailand&#x27;s EEF provincial TVET model. <em>Heliyon, 12</em>(15), Article e45380. <a href="https://doi.org/10.1016/j.heliyon.2026.e45380" rel="noopener noreferrer">https://doi.org/10.1016/j.heliyon.2026.e45380</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1016/j.heliyon.2026.e45380" rel="noopener noreferrer">10.1016/j.heliyon.2026.e45380</a></p>
<p><strong>Keywords:</strong> TVET, Thailand, Equitable Education Fund, work-based learning, dual vocational education, NEET youth, educational inequality, curriculum alignment, student well-being, mixed methods, principal component analysis, vocational scholarships</p>
]]></content:encoded>
					
		
		
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