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Migrating From Face-To-Face to Online Learning During the COVID-19 Pandemic: The Experiences of Psychology Students at a Private Higher Education Institution in Gauteng
11-21Views:749Due to the COVID-19 pandemic, there was an accelerated migration from face-to-face to online learning. This article aims to explore and describe how psychology students experienced the migration from face-to-face to online learning during the COVID-19 pandemic. It entailed a qualitative research design with an exploratory and descriptive approach. The participants were 28 purposively sampled psychology students from a Private Higher Education Institution in Gauteng. An online survey method was employed to gather the needed information which was then subjected to a thematic analysis. It emerged that the challenges experienced by students were internet connectivity issues, insufficient computer literacy, reduced class time, anxiety, physical impact, and communication issues. Moreover, some benefits related to flexibility, the convenience of online studies and safety from infection with COVID-19 were identified. It was also noted that having certain attributes such as independence, time management skills, having support and being tech savvy improved the online learning process. Some opportunities for Higher Education Institutions to improve the experiences of students included creativity in module delivery as well as providing guidelines on how to use these online platforms.
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AI as a digital assistant in a multi-ethnic VET system: Evidence from the VETAssIst project in Serbia
28–36Views:66Artificial 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.