Review
Similar papers
Review
Jul 2026
Psychological Determinants of Academic Integrity in the Use of Generative AI in Higher Education
It is concluded that effective responses to GenAI-related integrity problems should combine policy clarity, pedagogy, AI literacy, and student support rather than relying only on prohibition or software-based surveillance.
Ezgi Dagtekin, Ercan Erkalkan
· 0 citations
Open access
Aug 2026
COGNITIVE, SOCIAL AND PROCEDURAL VECTORS OF CRITICAL THINKING: FROM THEORY TO EDUCATIONAL IMPERATIVES
This study investigates the primary conceptualizations of critical thinking, synthesizing contemporary insights from Ukrainian philosophical and specialized literature. The author introduces a tripartite framework to categorize critical thinking into cognitive, social, and procedural vectors. The analysis demonstrates...
Iryna Horokhova, Serhii Horokhov
· Scientific Journal of Poloni... · 0 citations
Aug 2026
The Illusion of Understanding: Generative AI, Epistemic Humility, and the Erosion of Intellectual Character
It is argued that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character, arguing that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character.
Dylan S. Bailey
· Human Affairs · 0 citations
Open access
Aug 2026
Is Religion an Epistemic Ally or Competitor to Science? A Critical Reassessment
This paper critically reassesses the epistemic relationship between religion and science, examining whether they function as competitors, allies, or differentiated yet complementary domains of inquiry. It situates the discussion historically, demonstrating that episodes of tension often reflect disputes over authori...
Gabriel Adedayo Idogbe
· International Journal of Rel... · 0 citations
Preprint
Aug 2026
Incoherent by Design? On the Moral Self-Consistency of LLMs
It is argued that demonstrating internal incoherence is a necessary precursor to AI alignment as well as a broader phenomenon of epistemic instability in generative AI wherein models fail to reliably maintain coherence with respect to their own prior outputs.
Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Helen Nissenbaum
· 0 citations
Open access
Aug 2026
Beyond the Binaries: Techno-Optimism and Pessimism as Situated Epistemic-Affective Orientations
Contemporary debates on technological futures are marked by disputes over epistemic authority and normative legitimacy—over what counts as responsible anticipation, relevant knowledge, or legitimate critique. This article shifts analytical attention to the epistemic–affective orientations through which technological...
Johanna Ahola-Launonen
· Minerva · 1 citation