Science and Research Blog

Insights on Research, Technology, and Academic Transformation in the Digital Age
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Beyond One Definition of AI Literacy: What Universities Can Learn from the UNESCO, EU, and Stanford Frameworks

Отвъд единствено определение за AI грамотност: Какво могат да научат университетите от рамките на UNESCO, ЕС и Stanford Plamen MILTENOFF Yesterday, we explored why the new European Commission and OECD AI Literacy Framework matters for higher education. Although...
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When AI Supports Learning and When It Replaces It

Когато изкуственият интелект подпомага ученето и когато го замества Plamen MILTENOFF VodcastПодкастUnderstanding Vygotsky’s Zone of Proximal Development can help educators make better decisions about the use of Artificial Intelligence in teaching.The idea sounds...
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From School AI Literacy to University AI Fluency: Why Europe’s New AI Literacy Framework Matters for Higher Education

От AI грамотност в училище към AI компетентност в университета: Защо новата европейска рамка за AI грамотност е важна за висшето образование Plamen MILTENOFF VodcastПодкастThe European Commission and the OECD recently introduced the AI Literacy Framework for Primary...
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Brain Rot and AI: Are We Creating the Problem That AI Is Solving?

„Brain Rot“ и изкуственият интелект: Създаваме ли проблема, който AI се опитва да реши? Plamen MILTENOFF PodcastПодкастArtificial intelligence is often presented as the solution to many of today's problems. It summarizes long articles, writes emails, organizes...
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MCP vs. API: Why Do We Need Both?

MCP срещу API: Защо са ни нужни и двете? Plamen MILTENOFF Imagine you run a hotel. Guests may ask for a taxi, room service, laundry, or a wake-up call. Each service has its own phone number and its own way of taking requests. Those phone lines are like APIs.An API, or...
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Claude Cowork for Teaching and Publishing: From Chatbot to Project Assistant

Claude Cowork за преподаване и издателска дейност: от чатбот към проектен асистент Plamen MILTENOFF Most people use AI as a chatbot. They ask a question, receive an answer, and then copy the result into a document.Claude Cowork works differently. It is closer to a...
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Kimi K3: What Educators and Universities Need to Know

Kimi K3: Какво трябва да знаят преподавателите и университетите Plamen MILTENOFF PodcastПодкастKimi K3 has become the talk of town Moonshot AI announced Kimi K3 on July 16, 2026. The model quickly attracted attention because of its size, performance, price, and...
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State the Boundaries: Why Smarter AI Agents Need Clearer University Rules

Поставете ясни граници: защо по-умните AI агенти се нуждаят от по-ясни университетски правила Plamen MILTENOFF PodcastПодкастAnthropic’s safeguard for Claude Fable 5 drew attention because requests in sensitive fields can now be blocked or redirected to Claude Opus...
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Simple Tools, Smarter AI: What Aaron Tay Adds to the RAG Debate

По-прости инструменти, по-ефективен AI: какво добавя Aaron Tay към дебата за RAG Plamen MILTENOFF PodcastПодкастOur previous post asked whether universities need more complex AI systems. It discussed a study comparing basic RAG, GraphRAG, modular RAG, and agentic RAG....
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Do Universities Need More Complex AI Systems?

Нуждаят ли се университетите от по-сложни системи с изкуствен интелект? Plamen Miltenoff PodcastПодкастArtificial intelligence tools are becoming increasingly complex. Universities now hear terms such as RAG, GraphRAG, knowledge graphs, AI agents, and agentic...
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Eжедневни сесии за седмица 30 март – 3 април

29 March 2026

Продължаваме нашите ежедневни сесии от 10:00 ч. и 14:00 ч. (източноевропейско време), за да обсъдим материалите от нашите практически семинари за самостоятелно обучение. Всички ресурси са достъпни в платформата Moodle (eLearn) на ИУ-Варна. 👉 Понеделник, 30 март 10:00...

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Shared Practice, Better Teaching, How the AI Handbook Supports Instructors

27 March 2026

Споделена практика, по-добро преподаване, как наръчникът за ИИ подпомага преподавателите A myriad of conversations about AI in higher education stay at a general level. We discuss potential, risks, and future impact. What often remains unclear is the actual AI in...

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Publish or Perish in the Age of Open Science: Risks You Cannot Ignore

25 March 2026

Публикувай или изчезни в ерата на отворената наука: рискове, които не бива да пренебрегваш The video “I tried to buy a scientific paper” and Alfred Wallace’s LinkedIn post expose a structural tension in scholarly publishing. As a researcher, you can read them as a...

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From LLM to Agentic AI: How Claude Tools Transform Teaching and Research

23 March 2026

От LLM до агентен ИИ: как Claude инструментите променят преподаването и научните изследвания Generative AI is often discussed as if it is one single solution, yet in practice it includes several distinct approaches. Terms such as [Large Language Model workflows (LLM...

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Core Skills for 2025: Applying WEF Insights in Academic Practice

23 March 2026

Основни умения за 2025 г.: Прилагане на изводите на Световния икономически форум в академичната практика The latest World Economic Forum report on core skills for 2025 offers a concise view of the expectations for learners and professionals. The findings point to a...

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AI Will Not Replace Faculty, It Will Redefine Their Value

22 March 2026

ИИ няма да замени преподавателите, той ще преосмисли тяхната стойност Ray Schroeder raises a timely question about which jobs in higher education face the highest risk from AI. The answer across three leading models converges on a clear pattern. Risk concentrates in...

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Beyond Efficiency: Rethinking Academic Work with Generative AI

22 March 2026

Отвъд ефективността: Преосмисляне на академичния труд с генеративен изкуствен интелект Generative AI changes how you work, not only the tools you use You gain the most value in routine and semi-structured tasks Do not rely on AI for interpretation and academic...

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Governing AI in Education: Strategic Lessons from the EU Guidelines

20 March 2026

Управление на ИИ в образованието: стратегически уроци от насоките на ЕС The EU Guidelines on the ethical use of artificial intelligence and data in teaching and learning signal a shift in the educational institutions approach to AI. The central issue goes beyond...

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