Science and Research Blog

Insights on Research, Technology, and Academic Transformation in the Digital Age

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...

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...

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...

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...

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...

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...

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...

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...

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....

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...

From Tools to Systems: How AI Workspaces Reshape Research Practice

От инструменти към системи: как AI работните пространства променят изследователската практика The idea of an “AI workspace for researchers” is shifting fast. Tools no longer sit at the edges of the workflow. They begin to structure the workflow itself. Shoulde.rs...

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Публикуване в ерата на ИИ: как да разпознаете рисковете и да защитите авторството си

Кари Милър, старши изследовател при Online Learning Consortium, представи своя опит на конференцията ICEBM в Икономически университет – Варна. Нейният пост в LinkedIn насочва вниманието към нарастващ проблем, който засяга пряко вашата работа като изследовател. Вие...

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Academic Work Under Pressure: The Hidden Costs of AI in Higher Education

Академичният труд под натиск: Скритите разходи на ИИ във висшето образование Artificial intelligence is entering higher education at speed. Numerous institutions frame this shift as progress. The American Association of University Professors presents a different...

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When Students Move First. Rethinking Teaching and Assessment in the Age of AI

Когато студентите действат първи. Преосмисляне на преподаването и оценяването в ерата на ИИ The AI Debate Is Over. Students Have Already Decided. This title captures a shift  institutions still hesitate to acknowledge. Students no longer ask whether to use AI. They...

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Beyond Adoption: How Universities Can Align AI Use with Learning and Assessment

Отвъд внедряването на ИИ: как университетите могат да съгласуват използването на ИИ с ученето и оценяването California State University offers a useful case for understanding what happens after large-scale AI adoption in higher education. In 2025, CSU signed an 18...

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From control to evidence of learning: assessment strategies in the age of Gen AI

От контрол към доказателства за учене: стратегии за оценяване в ерата на генеративния изкуствен интелект  The Chronicle of Higher Education is one of the most influential sources of analysis and reporting in global higher education. Since its founding in 1966, it has...

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Technology, AI, and Student Experience: What Universities Need to Change Today

Технологии, ИИ и студентски опит: какво трябва да промени университетът днес EDUCAUSE is a leading U.S.-based organization focused on technology in higher education. It brings together researchers, institutional leaders, IT professionals, and educators to analyze the...

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