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While artificial intelligence (AI) is becoming part and parcel of modern living, it is burgeoning as the new reality in teaching to prepare digitally savvy students who are AI-literate. We examine differences in digital readiness and AI literacy across high school and college students, analyzing survey measures of six dimensions: digital access, digital skills, digital mindset, AI conceptual understanding, practical AI skills, and ethical/societal awareness. Of the 192 students, descriptive statistics and Multivariate Analyses of Variance (MANOVA) were run on their responses. Higher education students show significantly stronger digital readiness scores, mostly due to their improved performance and particularly on the dimension of a digital mindset—while high school pupils did better only in AI literacy but with more inconsistent results when it comes to ethical awareness. As implemented into the model, correlational analysis reveals weak ties between these dimensions of digital readiness and AI literacy. Suggestions towards having to use different pedagogical strategies for each dimension. The significance of tailored curricular interventions is emphasized by these results, with measures aimed at bridging the AI preparedness gap required at both mainstream and tertiary education levels. The findings have implications for policy, curriculum design, and teacher training to prepare learners with the knowledge, skills, and values they need to actively participate in an AI-positive world.
Keywords:
AI Literacy, Digital Readiness, AI in Education, Digital Skills, Curriculum Development
Cite Article:
"Bridging the AI Gap: A Comparative Study on Digital Readiness and AI Literacy in High School and College Students", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a250-a255, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509031.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator