Search

Search Results

• Exploring the ethical awareness of using artificial intelligence in Algerian tertiary education: Case of undergraduate and graduate EFL students at Souk-Ahras University

  71–86

  Ayoub Belouettar

  Views:

  61

  Ethical awareness is a pivotal component of English as a Foreign Language (EFL) students’ identity in that it allows them to scrutinize their approach to learning which ensures their autonomy. Therefore, this study explores the ethical awareness of EFL students at Souk-Ahras University, Algeria. This study focuses on the use of Artificial Intelligence by students for their learning. It investigates their variating perceptions on and reactions towards AI for study and whether those views fit into the universal ethical code of conduct. This study employed a quantitative research approach with a descriptive research design. The sample studied consisted of 62 EFL students, selected through a random sampling technique. The collection of relevant data was done through a comprehensive survey. Data analysis was done using statistical analysis. The findings showed that students utilize AI tools for multiple learning purposes while being cognizant of its ethical drawbacks. However, students expressed a shallow approach to ethical reflection and did not rely on an authentic ethical framework upon which their decisions should be made. The study suggests that the development and employment of such a framework should start with teachers, by not merely disseminating charters but also delivering ethical scrutiny through their teaching and counselling.

• 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:

  27

  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.