Page 158 - Izobraževanje v dobi generativne umetne inteligence

Saša Mladenović

1. Digitally mature environments – Enhancing school infrastructure to
support digital learning.
2. Digitally competent and confident teachers – Providing professional
development to build educators’ digital and AI literacy.
3. Support for learning and teaching with ICT – Integrating digital tools
and technologies into teaching practices.
4. Data-driven decision-making – Utilizing analytics and predictive mod-
els to improve educational outcomes.

The horizontal themes focus on culture, sustainability, and research and
development, which further emphasise the importance of AI in shaping fu-
ture educational practices.
The plan acknowledges several challenges that impede the full integration
of digital and AI technologies in education, including:

1. Uneven access to resources and digital tools across schools, resulting in
disparities in the quality of education.
2. Inadequate digital competencies among teachers, limiting the effec-
tive use of AI in teaching and learning.
3. A lack of curricula tailored to new technologies such as AI, 3D printing,
and IoT hinders students’ preparedness for the future workforce.
4. Insufficient research and experimentation in applying digital technolo-
gies in pedagogical settings.
To overcome these challenges, the plan proposes a range of measures:

1. Equipping schools uniformly to ensure all students and teachers have
access to advanced digital tools.
2. Developing AI-focused curricula for both mandatory and extracurric-
ular activities, enabling students to understand AI’s potential and risks
and fostering their ability to apply AI in innovative ways.
3. Professional development for educators to teach AI effectively, includ-
ing its safe and ethical applications.
4. Promoting innovation through AI, such as hosting school competitions
and creating AI-based educational resources.
5. Establishing an AI-driven educational portal for detecting and recom-
mending digital content, tools, and services tailored to specific learn-
ing needs.
6. Leveraging data analytics and predictive models to improve deci-
sion-making, enhance administrative processes, and support person-
alised learning.

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