University of Economics – Varna

"Method" is the hammer. "Methodology" is the architectural blueprint.

Methods: The specific tools and techniques you use to gather data (The "What" and "How"). Methodology: The theoretical lens and logical justification for your approach (The "Why").

The Oxford Rubric - white paper

The Oxford Rubric™ is a normative framework developed to guide the ethical and pedagogical assessment of Artificial Intelligence in educational settings.

The Amazon-Playlab Initiative

A recent milestone in the international education landscape is the expansion of the Amazon-Playlab partnership, an initiative that offers a blueprint for the future of AI in our classrooms.

Teaching AI Use as an Academic Skill in Higher Education with the "Google for Education" rep...

The Google for Education lesson plan offers a useful response when adapted for higher education. Its value lies not in the tool examples, but in the way it frames responsibility, learning, and judgment as skills students must practice.

The Fuel of the Future: Reflections on Europe’s Open Data Maturity and the Path for AI in Ed...

As researchers at the University of Economics – Varna, our work sits at the intersection of economic theory and technological evolution.

13th International Conference on Business Economics, Marketing & Management Research (BEMM-2...

This spring, the 13th International Conference on Business Economics, Marketing & Management Research (BEMM-2026) offers just that. Scheduled for April 27-30, 2026, in the vibrant city of Istanbul, the conference is organized by the National Centre for

Interest in a workshop "Interactive images with Gemini?"

Learning in economics often happens around visual artifacts. Think of a supply and demand graph under multiple shocks, a balance sheet across reporting periods, or a risk return frontier for portfolio choice.

Who to follow for staying current with AI

Recommendations for people and groups to follow to stay current with generative AI—organized by topic.

What Do We Actually Mean by ‘AI-Powered Search’?

Aaron Tay argues that the label “AI-powered search” is too broad. When people react to an AI research tool, they often assume all such tools work the same way.

LLM, RAG, and Research: When summaries look right but fail your research goals

Over the past months, discussions around AI “research assistants” have focused on speed, convenience, and polished outputs. A recent article in Critical AI by Tiffany DeRewal, paired with her LinkedIn reflections, raises a more important question.