Sep 2026· Digital Technologies Research and Applications· 0 citations· 25 references
Abstract
As digital technologies and artificial intelligence (AI) become more embedded in higher education, there is still limited empirical evidence on how students perceive their own AI and digital literacy in learning contexts. This study explores university students’ perceived AI and digital literacy using survey data collected from 118 undergraduates at a university in Seoul, Korea. The instrument focused on students’ self-reported competence in using digital tools and AI-supported resources for academic purposes. The findings show that students generally reported moderate to relatively high levels of AI and digital literacy. They expressed greater confidence in tasks such as document creation and information gathering, while reporting comparatively lower confidence in areas such as advanced search strategies and the use of digital content creation tools. No statistically significant differences were identified by gender or academic year, although slight variations appeared in specific skills. Overall, the results suggest that students are comfortable with routine uses of digital technologies but may require further support in developing more advanced and critical digital skills. These findings point to the importance of providing structured learning opportunities to strengthen higher-order AI and digital literacy in higher education settings.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
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Jinhe Bi, Yifan Wang, Danqi Yan et al.· arXiv.org· 73 citations· ⚡4
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Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
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With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
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