Efficiency, Specificity, and Ease

Clicks: 1
ID: 338336
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #1,681 of 1,787 articles by views in Oxford University Press eBooks

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,787 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Education has aims beyond knowledge transfer, such as developing critical thinking skills and socialization, or as philosophers of education and virtue epistemologists argue, the cultivation of intellectual virtues. There is, however, limited research on the influence of generative AI (GenAI) on the cultivation of intellectual virtues in education, and the research that exists remains largely theoretical. Based on interviews with high school students, this article shows that the perceived benefits of GenAI—efficiency, specificity, and ease—can disrupt moments and experiences crucial for practicing intellectual virtues. Students use GenAI to offload or avoid epistemic tasks, such as reading contextual information, and experiences, such as facing uncertainty and being stuck. This article provides novel insight into the influence of GenAI on intellectual virtues by emphasizing the mediating influence of technologies and focusing on the experiences and (self-)reflections of students. By doing so, it becomes apparent that the perception of students toward certain moments and experiences relevant for the cultivation of intellectual virtues is changing and is increasingly evaluated in terms of efficiency and ease.
Reference Key
openalex_W7225165617 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yuri Tax
Are you one of these authors? Claim your profile
Journal Oxford University Press eBooks
Year 2026
DOI
10.1093/9780198945215.003.0293
URL
https://doi.org/10.1093/9780198945215.003.0293
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.