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Why Critical Thinking Matters in the Age of Artificial Intelligence: How Students Can Evaluate Information, Avoid Misinformation, and Use AI Responsibly
Artificial intelligence is changing how students search for information, write assignments, solve problems, and understand the world. Tools based on artificial intelligence can support learning, save time, and help students explore complex topics. However, they also create serious challenges. Students may receive false information, weak arguments, biased answers, or invented references. They may also become too dependent on automated systems and lose confidence in their own j
May 1122 min read


Academically, Manus AI Can Be Discussed as an Example of Agentic Artificial Intelligence: Productivity, Responsibility, Digital Skills, Ethics, and the Changing Nature of Work
This article discusses Manus AI as an example of agentic artificial intelligence. Unlike traditional chatbots, which mainly answer prompts, agentic AI systems are designed to plan, act, use tools, and complete multi-step tasks with less direct human control. This shift is important for higher education because it changes how students learn, write, research, organize tasks, and prepare for the workplace. The article uses a conceptual academic method based on selected theories
May 420 min read


The Handicap Principle as a Theory of Credible Signaling
The handicap principle is a theory of credible signaling. It suggests that a signal becomes believable when it is costly, difficult to imitate, or risky to produce. The idea was first developed in evolutionary theory to explain why some animals display traits that appear inefficient, such as bright feathers, complex songs, or risky behavior. These traits may seem wasteful, but they can communicate hidden quality because only strong individuals can afford the cost. In this sen
Apr 2425 min read


Plagiarism and AI Thresholds in Academic Theses: Rethinking Similarity, Authorship, and Evaluation in the Age of Generative Systems
The rise of generative artificial intelligence has changed academic writing faster than many universities were prepared for. Thesis evaluation, once centered mainly on originality, citation practice, and human authorship, now faces a more complex reality. A text may appear highly polished but may contain hidden AI assistance. A thesis may have a low similarity score yet still show weak originality. Another may have a moderate similarity score because of correct quotations, di
Apr 1819 min read


Beyond Journal Prestige: The DORA Declaration and the Future of Fair Research Evaluation in Higher Education
The San Francisco Declaration on Research Assessment, widely known as DORA, has become one of the most influential frameworks in contemporary higher education policy. Its central message is simple but powerful: research quality should not be reduced to journal prestige, impacre closely aligned with the real purposes of research, teaching, and public knowledge. This article examines why DORA matters at this moment and why it has become increasingly relevant to debates on resea
Apr 1820 min read
AI and the Future of Management Education: Power, Inequality, and Institutional Transformation
Author: Hassan Ali Affiliation: Independent Researcher Abstract Artificial Intelligence (AI) is transforming management education at unprecedented speed. In less than a decade, business schools have moved from viewing AI as a supplementary teaching tool to confronting it as a core driver of academic redesign, professional competencies, assessment reform, and global competitiveness. This article critically examines how AI reshapes management education through three sociologi
Dec 1, 20258 min read
Plagiarism and AI Thresholds in Academic Theses: A Critical Examination of Evolving Standards in Higher Education
Author: Aibek Karimov Affiliation: Independent Researcher, Central Asia Abstract The rapid expansion of artificial intelligence (AI) in...
Aug 22, 20255 min read
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