AI & Digital Transformation — Teachers & Professors Track is an 11-hour practical workshop designed for professors, teachers, and academic staff who want to integrate artificial intelligence into teaching in a practical, responsible, and critical way.
The course combines short theoretical presentations with worked examples, hands-on activities, and peer-review exercises. No prior AI-specific knowledge is required.
Across 11 sessions, participants will learn to:
- Understand the fundamentals of AI and its impact on the digital transformation of education.
- Use AI tools for lesson planning, content creation, assessment, and feedback.
- Critically evaluate adaptive/personalized learning technologies and learning analytics.
- Apply principles of ethics, bias awareness, academic integrity, and responsible AI use.
- Use digital tools for classroom management and collaboration.
- Understand relevant GDPR, institutional policy, and AI governance requirements.
- Design and evaluate a complete AI-integrated teaching unit.
The course concludes with a capstone project, in which each participant designs an AI-integrated course unit and receives structured peer feedback. Assessment is based on participation, the practical lesson-module lab, and the final project, with no formal written examination.
Format: Blended (online/on-site, depending on the host institution)
Duration: 11 sessions × 60 minutes
Target audience: Professors, teachers, and academic staff at any educational level
Prerequisites: No previous AI-specific knowledge required
Planned start: 1 October 2026, subject to host institution scheduling
Director/Trainer: PhD.Eng. Arun-Fabian Panaite, University of Petroșani.