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• New Paths to Online Teaching – How Can We Manage Knowledge Transfer and Make the Learning More Enjoyable?

  55-62

  András Benedek

  Views:

  494

  This study is based on the results from a national project initiative on digitalization, supported by methodology evidence from e-learning materials at the level of teachers’ training for vocational education institutes. Looking for the new paths to online learning We have been formulating the question for almost a decade: How can we manage the transfer of knowledge and make learning more enjoyable? For the steps forwards, the first impulses for understanding the recontextualization of vocational didactics and re-defining roles and responsibilities of the actors. Our paper deals with seeking a new method for content development and its application in vocational education and training (VET). This study recommends a kind of open framework[1] is provided by the fact that the innovation, which takes open source content development as one of the approaches of reforming teacher training for VET, is connected to a technical university of long-existing traditions. In line with the peculiarities of Hungarian VET, our research group undertook to develop methodological training in terms of complex school subjects. By applying their new concept, their concrete objective was: the methodological renewal of vocational teacher training and practical training by creating and applying complex learning content units online.

• AI as a digital assistant in a multi-ethnic VET system: Evidence from the VETAssIst project in Serbia

  28–36

  Zoltán Papp

  Elvira Kovács

  Views:

  74

  Artificial intelligence (AI) is increasingly framed as a lever for teaching efficiency in vocational education and training (VET), yet adoption is mediated by teachers’ linguistic and cultural contexts. This study, conducted within the VETAssIst project, compares AI‑related readiness and needs among VET teachers in Serbia across two cohorts working under the same national framework: Hungarian‑minority teachers in Vojvodina and Serbian‑majority teachers. Using a structured questionnaire, we examine perceived usefulness of AI as a ‘digital assistant’ for lesson planning, assessment, and administrative work, self‑reported digital competence, perceived institutional support, and readiness for integration. The evidence indicates broadly similar baseline competence across cohorts, strong intentions to expand classroom use, and uneven institutional backing. Recurrent requirements include VET‑specific AI tools, clearer school‑level policies, targeted professional development, and language‑accessible resources. We argue that sustainable digital transformation in multi‑ethnic VET systems depends on aligning tool ecosystems and professional learning with the linguistic diversity of the workforce, thereby preventing intra‑system digital divides.