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The Delphi Method in the Age of AI: A Valuable Tool for Research and Strategic Planning at the University of Economics Varna

Plamen Miltenoff Universities face growing uncertainty. Artificial intelligence is transforming teaching, research, business, public administration, and labor markets faster than institutions can easily adapt. In such situations, historical data often provide only...

AI and the Higher Education Crisis: Moving Beyond the “Cheating” Panic to Fight Intellectual Atrophy

Plamen Miltenoff This source explores the detrimental shift from active learning to cognitive surrender caused by the premature use of artificial intelligence in universities. Rather than focusing on simple academic dishonesty, the author argues that students risk...

Build Your Own AI Fluency Challenges

The AI Fluency Challenge: Turning AI Use into Visible Thinking In the previous two posts , we explored Phillip Alcock’s practical approach to AI fluency through. The first presented six AI fluency projects to help students' thinking become visible when working with...

Beyond the Buzzwords: Translating AI Topics into Observable Classroom Skills

Plamen MiltenoffIn our previous post at the Science and Research Institute on 6 Popular AI Fluency Projects, we explored practical classroom missions like One Wrong Thing and Prompt Rescue. These projects shared a central goal: making student thinking visible. To...

6 AI Fluency Projects That Make Student Thinking Visible

Plamen Miltenoff As artificial intelligence becomes increasingly integrated into education, many educators face a common challenge: how can students use AI while still demonstrating their own thinking? The answer lies in AI fluency. AI fluency goes beyond knowing how...

From AI Literacy to Verification Literacy: The Debate Around Citation Hallucination Checkers

Plamen Miltenoff The rise of generative AI in academic writing is creating a new problem for research integrity: hallucinated citations. These are references appearing credible yet none existent, contain incorrect metadata, or combine details from multiple real papers...

Functional, Critical, and Rhetorical AI Literacy in Research

Plamen Miltenoff Researchers currently use AI systems to search literature, summarize articles, develop research questions, assist with writing, analyze data, and even simulate peer review. Parker and Becker argue the need for a new understanding of AI literacy for...

AI Agents vs. Agentic AI: Why the Difference Matters for Higher Education

Plamen Miltenoff (scroll down for text in Bulgarian) The terms “AI agents” and “agentic AI” appear everywhere in current discussions about artificial intelligence. Technology companies, startup founders, and universities often use them interchangeably. The confusion...

Google DeepMind and Deep Research Max: What Academia Needs to Know About the Next Generation of AI Research

11 May 2026

Google DeepMind и Deep Research Max: Какво трябва да знае академичната общност за следващото поколение AI изследвания Listen to this 23 min podcast reflecting the research contained in this blog post Google DeepMind is Google’s central AI research organisation, formed...

The Socratic Method in the AI Era: How Gemini Gems Are Transforming Higher Education

10 May 2026

Сократовият метод в ерата на AI: Как Gemini Gems променят висшето образование The landscape of Higher Education is shifting from a search for answers to a quest for inquiry. At the University of Economics Varna, we are moving beyond basic "answer-engines" by...

Thinking Fast, Slow, and Artificial: Why Human Thinking Matters More in the AI Era

7 May 2026

Бързо, бавно и изкуствено мислене: защо човешкото мислене е по-важно в епохата на ИИ The Science and Research Institute has already discussed Steven Shaw’s Tri-System Theory in a previous post, “Thinking, Fast, Slow, and Artificial”. People often trust AI answers too...

From AI Policy to AI Fluency in Universities.

5 May 2026

От политики за ИИ към уверено владеене на ИИ в университетите. Universities are redefining learning, evidence, and academic integrity under pressure from a new wave of AI. The UNESCO guidance and the UK postgraduate guidelines frame this shift from different angles,...

Between Caution and Adoption: A Practical Approach to AI in Libraries

4 May 2026

Между предпазливост и прилагане: Практически подход към ИИ в библиотеките Libraries face increasing pressure from AI systems able to generate fluent but uneven information. Friedman sees librarians as the ones to encounter these effects earlier than other professions....

The (FT50) Journal List Trap — And How to Escape It

3 May 2026

Капанът на списъка с научни списания (FT50) и как да се излезе от него In his article on the “FT Journal List Trap,” Herman Aguinis, points to a quiet shift in business schools. Journal lists such as the FT50 were introduced to signal quality. Over time, they began to...

Work smarter with Claude: plugins, slash commands, and skills that actually help

3 May 2026

Работете по-умно с Claude: плейъри, команди с накосна черта и умения, които наистински помагат (Anthropic Claude used for thsi blog) Most students and faculty who use Claude are still using it like a search engine — type a question, get an answer, repeat. That’s the...

Between Strategy and Learning, How AI Is Changing Decision-Making in Business Education

2 May 2026

Между стратегия и обучение, как ИИ променя решенията в бизнес образованието Artificial intelligence is advancing across higher education, but two influential sources show that progress does not follow a single logic. The systematic review by Long et al. examines AI...

From AI Awareness to Assessment Redesign in Higher Education

1 May 2026

От информираност за ИИ към преработка на оценяването във висшето образование Students are becoming AI fluent. Universities respond slowly. This op-ed in University Business captures the tension well, but it simplifies parts of the problem. The core claim: students...

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