A Bibliometric investigation of Artificial Intelligence in Technical and Vocational Education Training (AI-TVET): Trends and insights for a decade DOI
Issah Baako

Published: April 15, 2025

Abstract The integration of Artificial Intelligence (AI) in Technical and Vocational Education Training (TVET) has gained significant traction over the past decade. AI-driven technologies are transforming skills acquisition, workforce development, educational methodologies. Despite this increasing interest, there remains a limited comprehensive bibliometric analysis mapping research landscape. This study aims to analyze trends, scholarly contributions, emerging themes AI applications within TVET, providing structured understanding its evolution identifying gaps. A approach was utilized AI-related TVET from 2015 2024. Data sourced Dimensions.ai, ensuring coverage peer-reviewed journal articles conference proceedings. employed tool VOSviewer for citation network analysis, keyword co-occurrence mapping, authorship collaboration patterns. Descriptive statistics trend were applied assess publication growth, influential authors, institutions, countries. findings indicate steady increase AI-TVET research, with notable surge post-2019 due advancements adaptive learning systems, machine applications, intelligent tutoring systems. Keyword revealed dominant themes, including personalized learning, automation vocational training, competency assessments. However, gaps remain addressing ethics, accessibility, effectiveness skill-based education. highlights transformative role emphasizing need interdisciplinary policy alignment. Future should explore AI's long-term impact on employability. insights serve as foundation guiding policymakers, educators, researchers toward more strategic TVET.

Language: Английский

The coopetition management process: a science mapping analysis DOI Creative Commons
Claudia Benítez-Núñez, Mónica Santana, Daniel Dorta Afonso

et al.

Review of Managerial Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Abstract This paper analyzes the coopetition literature to examine how research on has evolved and identify key themes in management process. To that end, a science mapping analysis of 890 articles, published between 1996 2022, was carried out using co-word networks longitudinal overview, applying SciMAT bibliometric software. Motor, basic transversal, specialized, emerging or declining have been discovered strategic diagrams evolution. The findings reveal cover several topics. Additionally, content most cited topics relevant involved process, which integrated into five categories: antecedents , coopetitive dynamics facilitators barriers, outcomes contexts . Therefore, this study organizes previously fragmented highlights process from an integrative point view. results offer pathway for researchers understand evolution complexity managerial perspective, as well providing original agenda.

Language: Английский

Citations

0
Insight into how legal and ethical considerations of artificial intelligence enhance the effectiveness of cyber forensic accounting DOI Creative Commons
Pham Quang Huy, Vu Kien Phuc

Journal of Global Information Technology Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: March 25, 2025

The aim of this study is to explore the correlation between legal and ethical considerations (LEC) effectiveness cyber forensic accounting (ECFA). This investigates role artificial intelligence competencies (AIC) as a mediator in link LEC ECFA. research confirms delineates relationship among LEC, ECFA, AIC through hypothetico-deductive approach. statistical database was generated from paper-and-pencil survey administered cross-sectional sample 723 respondents using convenience snowball sampling methods. partial least squares structural equation modeling implemented evaluate measurement models. An analysis results indicated that exerted significant favorable influence on Furthermore, it illustrated partially mediated study's outcomes would aid Government improving methodically formulating strategies foster implementation application.

Language: Английский

Citations

0
Global Perspectives on AI Competence Development: Analyzing National AI Strategies in Education and Workforce Policies DOI
Lehong Shi

Human Resource Development Review, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Advancements in artificial intelligence (AI) signal a significant shift toward more automated and data-driven workplaces, emphasizing the need for Human Resource Development (HRD) to prepare workforce with adequate AI competencies AI-empowered environments. policies initiatives play crucial role providing frameworks actions that guide HRD efforts. In this study, we analyzed education national strategies (NAISs) from 50 countries delineate educational policy priorities, strategies, support resources developing an AI-competent workforce. Our analysis revealed only 13 demonstrated high-level prioritization clear objectives comprehensive measures, primarily developed economies Europe. We identified six categories of training focused on talent preparation reskilling. Additionally, four types were highlighted as key investments enhance success these strategies. The findings have implications practice, particularly designing implementing AI-focused, workplace-oriented, inclusive curricula, programs, consider contextual cultural factors. results suggest further research explore emerging theories, models, pedagogical impact elements competency development.

Language: Английский

Citations

0
Enhancing top managers' leadership with artificial intelligence: insights from a systematic literature review DOI Creative Commons
Simone Bevilacqua, Jana Masárová, Francesco Antonio Perotti

et al.

Review of Managerial Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

Citations

0
A Bibliometric investigation of Artificial Intelligence in Technical and Vocational Education Training (AI-TVET): Trends and insights for a decade DOI
Issah Baako

Published: April 15, 2025

Abstract The integration of Artificial Intelligence (AI) in Technical and Vocational Education Training (TVET) has gained significant traction over the past decade. AI-driven technologies are transforming skills acquisition, workforce development, educational methodologies. Despite this increasing interest, there remains a limited comprehensive bibliometric analysis mapping research landscape. This study aims to analyze trends, scholarly contributions, emerging themes AI applications within TVET, providing structured understanding its evolution identifying gaps. A approach was utilized AI-related TVET from 2015 2024. Data sourced Dimensions.ai, ensuring coverage peer-reviewed journal articles conference proceedings. employed tool VOSviewer for citation network analysis, keyword co-occurrence mapping, authorship collaboration patterns. Descriptive statistics trend were applied assess publication growth, influential authors, institutions, countries. findings indicate steady increase AI-TVET research, with notable surge post-2019 due advancements adaptive learning systems, machine applications, intelligent tutoring systems. Keyword revealed dominant themes, including personalized learning, automation vocational training, competency assessments. However, gaps remain addressing ethics, accessibility, effectiveness skill-based education. highlights transformative role emphasizing need interdisciplinary policy alignment. Future should explore AI's long-term impact on employability. insights serve as foundation guiding policymakers, educators, researchers toward more strategic TVET.

Language: Английский

Citations

0