Izzivi in priložnosti uporabe sodobnih tehnologij pri personaliziranem učenju

slovenian

2026

volume 2, issue 2

adaptive learning platforms   equity   generative artificial intelligence   learning analytics   personalized learning

Vzgojno-izobraževalni zavod Antona Martina Slomška
(Obvezni izvod spletne publikacije)

Personalized learning is characterized by instruction tailored to each student in terms of timing and content, taking into account differences in prior knowledge, interests, and learning pace. Digital technologies play a key role in enabling such learning, particularly adaptive learning platforms based on learning analytics and artificial intelligence. In addition to the advantages highlighted in this article, we also address some of the challenges associated with the use of digital technologies in personalized learning. These include risks related to data privacy and protection, limited transparency in algorithmic decision-making, and a potential reduction in teacher and learner autonomy. We give particular attention to issues of equity, as algorithmic systems may reproduce cultural, social, and systemic biases, while many platforms are feebased and therefore not accessible to all learners. We conclude the article with a call for empirical research on the effects of modern technologies in personalized learning to enable informed assessment of their pedagogical, ethical, and equity-related challenges.

21.05.2026