Rethinking Vocational Training in the Era of Digital Transformation: The Role of Training Needs Analysis in Strengthening Training–Employment Alignment
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2026
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| _version_ | 1866901480703787008 |
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| author | BOULARTAL MAHA JAMAL TSOULI MOUSTAIKED |
| author_facet | BOULARTAL MAHA JAMAL TSOULI MOUSTAIKED |
| contents | <p><strong><span>Abstract</span></strong></p> <p><span>Vocational training systems are increasingly challenged by rapid economic, technological, and social transformations, particularly those induced by digitalization and artificial intelligence. In this evolving context, strengthening training–employment alignment has become a strategic imperative for improving workforce preparedness and enhancing the responsiveness of training institutions. This study investigates the role of training needs analysis in supporting the adaptation of vocational training systems and reinforcing their alignment with labor market requirements in the era of digital transformation. A quantitative research design was adopted. Data were collected through a structured questionnaire administered to 55 trainers from the OFPPT. The reliability of the measurement instrument was confirmed through a satisfactory Cronbach’s alpha coefficient (0.77). The data were analyzed using descriptive and inferential statistical techniques, including Pearson correlation coefficients and chi-square tests of independence. The findings reveal statistically significant positive relationships between the consideration of labor market needs and the evolution of training programs, as well as between the regular analysis of occupational changes and the adaptation of training content. The results further demonstrate the positive contribution of digital tools, particularly artificial intelligence, in enhancing the responsiveness, relevance, and anticipatory capacity of vocational training systems. This study contributes to the field of training engineering by highlighting the transition from static and reactive approaches toward more dynamic, data-informed, and predictive models of training needs analysis. It also offers practical implications for vocational training stakeholders by emphasizing the importance of adopting flexible, forward-looking, and technology-driven strategies to strengthen training–employment alignment</span><span>.</span></p> <p><strong><span>Keywords:</span></strong><span> </span><span>Training needs analysis; Vocational training; Employability; Digital transformation; Artificial intelligence</span><span>.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19973074 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Rethinking Vocational Training in the Era of Digital Transformation: The Role of Training Needs Analysis in Strengthening Training–Employment Alignment BOULARTAL MAHA JAMAL TSOULI MOUSTAIKED IJAME <p><strong><span>Abstract</span></strong></p> <p><span>Vocational training systems are increasingly challenged by rapid economic, technological, and social transformations, particularly those induced by digitalization and artificial intelligence. In this evolving context, strengthening training–employment alignment has become a strategic imperative for improving workforce preparedness and enhancing the responsiveness of training institutions. This study investigates the role of training needs analysis in supporting the adaptation of vocational training systems and reinforcing their alignment with labor market requirements in the era of digital transformation. A quantitative research design was adopted. Data were collected through a structured questionnaire administered to 55 trainers from the OFPPT. The reliability of the measurement instrument was confirmed through a satisfactory Cronbach’s alpha coefficient (0.77). The data were analyzed using descriptive and inferential statistical techniques, including Pearson correlation coefficients and chi-square tests of independence. The findings reveal statistically significant positive relationships between the consideration of labor market needs and the evolution of training programs, as well as between the regular analysis of occupational changes and the adaptation of training content. The results further demonstrate the positive contribution of digital tools, particularly artificial intelligence, in enhancing the responsiveness, relevance, and anticipatory capacity of vocational training systems. This study contributes to the field of training engineering by highlighting the transition from static and reactive approaches toward more dynamic, data-informed, and predictive models of training needs analysis. It also offers practical implications for vocational training stakeholders by emphasizing the importance of adopting flexible, forward-looking, and technology-driven strategies to strengthen training–employment alignment</span><span>.</span></p> <p><strong><span>Keywords:</span></strong><span> </span><span>Training needs analysis; Vocational training; Employability; Digital transformation; Artificial intelligence</span><span>.</span></p> |
| title | Rethinking Vocational Training in the Era of Digital Transformation: The Role of Training Needs Analysis in Strengthening Training–Employment Alignment |
| topic | IJAME |
| url | https://doi.org/10.5281/zenodo.19973074 |