Полезно - Science and Research

Beyond AI Literacy: Addressing Metacognitive Laziness in Higher Education

Plamen Miltenoff Students use AI systems to summarize readings, explain concepts, generate ideas, write drafts, solve problems, and support research. These capabilities create significant opportunities for learning. They also raise an important question: What happens...

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...

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

13 April 2026

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...

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

11 April 2026

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...

When AI Agrees Too Much: Why Sycophantic Systems Undermine Judgment and Responsibility

3 April 2026

Когато ИИ се съгласява твърде много: защо ласкателните системи подкопават преценката и отговорността Artificial intelligence systems often aim to provide helpful and supportive responses. Recent research highlights a critical limitation. When AI systems agree too...

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

3 April 2026

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...

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

2 April 2026

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...

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...

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...

From Theory to Classroom Practice: BALEAP and Harvard Approaches to AI in Writing

26 March 2026

От теория към практика в класната стая: Подходите на BALEAP и Harvard към ИИ в академичното писане This Science and Research blog previously introduced the AI Use Cases in Higher Education Community Handbook and encouraged application and contributions of practical...

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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