Comparing Digital, Data, and AI Literacy
A Narrative Review
Bibliographic Data
| ID | 12960558 |
|---|---|
| Authors | Jevgenia Polomoshnov (Tallinn University of Technology), Anu Masso (0000-0002-3134-950X, Tallinn University of Technology, corresponding author), Kateryna Lobanova (Tallinn University of Technology) |
| Year | 2025 |
| Volume | 31 |
| Issue | 1 |
| Pages | 13-26 |
| Publication date | 2025-12-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Polity (JOURNAL) |
| Journal identifiers | ISSN: 1875-8754 • E-ISSN: 1570-1255 |
| Publisher | IOS Press (PUBLISHER • NL) |
| DOI | 10.1177/15701255251401863 |
| OpenAlex | W7117558365 |
| Language | EN |
| Citations received | 3 |
| References cited | 47 |
This article explores the growing need to understand what skills are required to navigate rapid technological change driven by digitalisation, datafication, and AI – both within organisations and education, and in citizens’ everyday lives. Through a narrative literature review of digital, data, and AI literacy, we analyse their defining components, synthesising these approaches into an integrated framework. Our findings position digital literacy as a foundational concept essential for understanding and engaging with both data and AI literacy. While digital literacy equips individuals with basic technological skills, data literacy and AI literacy require more specialised knowledge. Data literacy involves using data for decision-making and problem-solving, whereas AI literacy extends to understanding AI systems, their functions, and their social, ethical, and legal implications. The article identifies three interrelated dimensions across all literacies: technical, critical, and communicative-cognitive. While technical and critical dimensions are well-documented, the communicative-cognitive dimension, essential for interacting with and cognitively relating to technological resources, remains less explored. We argue that educational programs must prioritise technical, critical thinking, and communicative-cognitive skills to cultivate comprehensive digital, data, and AI literacy. Finally, we raise critical questions about how public sector officials practise these literacies and how they can be integrated into education and training across diverse organisations
Critical literacy · Digital Literacy · Information literacy · Literacy · Narrative · Position (finance · Position paper · Artificial Intelligence in Healthcare and Education · Educational Assessment and Improvement · Ethics and Social Impacts of AI
All Data Are Local
Literacy
On the issues of digital competence in educational contexts – a review of literature
Writing narrative literature reviews for peer-reviewed journals
Narrative Reviews
Integrating Ethics and Career Futures with Technical Learning to Promote AI Literacy for Middle School Students
Can we teach digital natives digital literacy?
Writing narrative style literature reviews
Can linguists distinguish between ChatGPT/AI and human writing?
An integrated artificial intelligence framework for public management
Information and Media Literacy in the Age of AI
Understanding power positions in a new digital landscape
Automating public administration
Writing Narrative Literature Reviews
(Non)negotiable spaces of algorithmic governance
Do Narcissistic People Exhibit More Authentic Self-Disclosure to Generative AI? The Roles of Short-Form Video Addiction, Loneliness, and Usage Intention
Government information
The role of IT literacy in defining digital divide policy needs
The evolution of theoretical contributions in digital government research
A Systemic View of Implementing Data Literacy in Educator Preparation
Using thematic analysis in psychology
Public sector chatbots
Competencias digitales y educación
Purposeful Sampling in Qualitative Research Synthesis
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |