Science and Research Blog

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

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...

ChatGPT and the Cognitive Trade-Off Between Critical and Creative Thinking

Plamen Miltenoff A systematic review of 67 studies reveals that generative AI acts as a double-edged sword for student cognition, significantly impacting critical and creative thinking based on how it is utilized. While the technology can...

Short Videos, Attention, and Executive Control: What Universities Should Learn From New EEG Research

This research investigates how short-form video platforms like TikTok and YouTube Shorts impact the neurological functions of young adults. Using EEG technology, the study reveals that high levels of engagement with these apps correlate...

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...

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

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

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

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

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

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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AI as a space for thinking: a new approach to teaching

ИИ като пространство за мислене: нов подход в обучението Educators still treat AI as a tool that predicts the next word. This view comes from the idea that large language models are “stochastic parrots.” The author challenges this. He argues that AI works more like a...

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Is Elsevier’s LeapSpace the right fit?

Подходящ ли е LeapSpace на Elsevier? As we navigate the evolution of AI in education, the mantra at the University of Economics – Varna remains: "Trust, but verify." While 84% of researchers now use AI, only 22% actually trust its outputs. To bridge this gap, Elsevier...

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