Information Literacy¶
Element · All elements
Evidence · 19 claims (8 for, 8 mixed, 3 against) · 19 studies (7 causal, 4 qualitative, 3 associational, 2 review, 2 theoretical, 1 design),q1–q3· 1 of 19 report an effect size · 18 claims rest on one study
Description¶
Information literacy is the element in which learners identify information needs, locate sources, evaluate credibility, and use information responsibly. It is useful when tasks require judgment about evidence rather than mere retrieval.
Design Implications¶
Context¶
Requirements¶
- A real information need or question
- Access to sources of varying quality
- Criteria for evaluating evidence and credibility
Constraints¶
- Learners may confuse fluency of search with quality of evidence
Target Learning Goals¶
- Improve source evaluation, evidence use, and research judgment.
Affordances¶
Claims¶
- Civic Online Reasoning Instruction Improves Evaluation [+S]
- Distributed epistemic agency emerges as learners attribute authority to AI outputs and shift responsibility for knowledge validation, though some engage dialogically [+W] — attached 2026-10-12 from Voicu (2026), which proposed "Critical AI Literacy (technical, epistemic, and ethical dimensions)".
- Automation bias toward fluent LLM output surrenders learners' epistemic agency [~W]
- Technology anxiety's positive association with AI literacy is confined to critical evaluation and ethical competence and absent from the three performance-oriented subdimensions [~W]
- Students exhibited high trust in GenAI but limited critical evaluation of its outputs [-W]
- Of 178 reference sources produced by AI dialogue systems, 69 lacked a DOI and 28 could not be found via Google search and had no existing DOI [+W]
- ChatGPT biased information access toward solution-oriented artifacts over principle-oriented information [-W]
- Critical AI literacy emerged as both a learning-design goal and a condition of teachers' professional mediation [~W]
- Review-attributed evidence: fabricated model-generated references clustered in disciplinary journals in a student verification exercise [~W]
- Students used AI mainly for retrieving pharmacological mechanisms, generating PPT outlines, and clarifying concepts under rules requiring verification and student responsibility for AI outputs [~W]
- A student maintained critical distance from GenAI outputs through a paradoxical trust in their untrustworthiness, deriving practical value while staying sceptical [+W]
- Pre-service teachers rate ChatGPT-generated texts higher on structure but often fail to identify AI authorship, indicating limited critical AI literacy [-W]
- The predominant student evaluation of LLMs (42%) is positive but conditional on the student's own verification work [~W]
- Sysadmins shift from producing solutions to evaluating, correcting, and refining GenAI output, which still requires human expertise [+W]
- Students described the verification label as a reason to engage with AI-generated material that did not end their own scrutiny of it [+W]
- A majority of surveyed mathematicians report believing proofs are correct because of journal publication, journal quality, or a trusted authoritative source [~W]
- Students could partially discriminate link reliability before training, rating good links highest and bad links lowest [+W] — attached 2026-10-22 from Ana Pérez et al. (2018), which proposed "Knowledge application task: rating search-result links contrasted on three source dimensions"; tests this page's relationship.
- Trained ninth-graders became more critical toward less reliable links than controls, with the effect persisting three weeks for the least reliable (bad) links [+M] — attached 2026-10-22 from Ana Pérez et al. (2018), which proposed "Knowledge application task: rating search-result links contrasted on three source dimensions"; tests this page's relationship.
The evidence by question¶
- Does teaching learners how to check a source improve their judgments of unfamiliar sources, and how much can one session do? Civic Online Reasoning Instruction Improves Evaluation [+S]
- Do learners check information from a generative AI the way they check sources found by search? ChatGPT users differentiated information less (never by credibility) and rarely verified information compared to Google users [~M]
Related Elements¶
Patterns That Use This Element¶
Key Sources¶
- Association of College and Research Libraries. (2016). Framework for information literacy for higher education.
Page metadata
| Field | Value |
|---|---|
type |
element |
id |
information-literacy |
title |
Information Literacy |
description |
Information literacy is the element in which learners identify information needs, locate sources, evaluate credibility, and use information responsibly. |
status |
review |
canonical |
True |
generated |
by codex/unspecified on 2026-04-07 |
trust |
unverified — no one has confirmed this page's content |
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