AI Pre-Literacy Research Observatory
Early Childhood and AI: Evidence Map
A searchable evidence map for research on young children’s encounters with artificial intelligence and related intelligent agents. This is a living evidence infrastructure; the peer-reviewed synthesis reports a locked snapshot.
Evidence Map
Search and filter the research landscape. Select See Analytical Review for the detailed study record. Use Status filter to view Includes, Holds, Contextual, Excluded, Duplicate.
| Study | Year | Age | Technology / agent | Developmental phenomenon | Relationship | Layer | Status |
|---|
- Locked discovery pool: 62 records, immutable, search 2021 — 21 Aug 2026. No new broad-search records added after lock.
- Current reconciliation: AI_Pre_Literacy_62_Record_Reconciliation_Matrix.xlsx — 15 Include / 9 Hold / 16 Contextual / 12 Exclude / 10 Duplicate/Merged — file available for download: CC BY 4.0.
- Age rule: Chronological age must be verified. School grade is NOT used as age proxy. Example: Kyaw et al. (#35) Grade 2 remains Hold.
- Duplicate rule: Kim #39 = #52 (DOI: 10.1080/10447318.2026.2678532) retained as #39; Kosoy #40 = #53 (arXiv:2405.13081) retained as #40; Neumann #42 = #30; #44 = #31; #57 = #45; #59 = #43; #60 = #23; #61 = #14; #62 = #19; Su & Yang #56 = merged contextual.
- Publication-status correction: Kim et al. published June 2026, within locked window, now peer-reviewed primary.
- Download — CC BY 4.0: Excel — Full Reconciliation Matrix (62 records, 23 fields) | CSV — Public Version (62 records, 16 fields) | DOI: to be minted on Zenodo at publication
- License: CC BY 4.0 — you may reuse with attribution. Cite as: Pasha, A.U.R. (2026). AI Pre-Literacy 62-Record Reconciliation Matrix. Locked Universe 21 Aug 2026. aipreliteracy.org/research-observatory/
- Archive: Wayback Machine snapshot recommended for timestamped verification — https://web.archive.org/save/https://aipreliteracy.org/research-observatory/
About the Evidence Map
The Observatory is designed as evidence infrastructure rather than a conventional bibliography. Existing research retains its original terminology and theoretical identity. The proposed AI pre-literacy domain is introduced only at the synthesis level as a provisional organizing domain. Peer-reviewed empirical research forms the principal primary evidence set; contextual, emerging, duplicate, excluded, and unresolved records are kept analytically distinct.
Three-Layer Analytical Boundary
Analytical, not developmental: These layers are analytical categories, not developmental stages, hierarchical levels, or validated components of a measurement model. Layer 1 concerns the most direct processes; Layer 2 captures extensions; Layer 3 identifies contexts.
Methodological Position
The evidence map uses a broad, multi-concept discovery search and a structured verification process covering AI and early-childhood terminology, social robotics, intelligent agents, developmental psychology, trust, anthropomorphism, and agency attribution (2021 — 21 Aug 2026, English-language initial review). Peer-reviewed empirical research forms the principal primary evidence set; contextual, emerging, duplicate, excluded, and unresolved records are kept analytically distinct. The Observatory does not treat all social robots as AI, and school grade is not used as a proxy for chronological age. Original terminology is preserved throughout; AI pre-literacy is introduced only at synthesis, avoiding circular selection.
Boundary — What Is Excluded
- Teleoperated / Wizard-of-Oz robots without AI involvement, or where AI status unclear and child-AI relationship not investigated (e.g., Tolksdorf #1)
- Robot-mediated play / physical activity where child-AI relationship is not substantive (e.g., Raja Vora #3)
- Language-learning effectiveness / tutoring effectiveness as principal outcome (e.g., van den Berghe #2, Pareto #10)
- Studies outside 2-8 years where target age is not separable (e.g., Heeg & Avraamidou #23 age 11-12; Maj #58 age 7-12)
- Computational thinking, coding, programming as principal focus
- Adult-only, parent-only, manufacturer-claim, or design-intention without child-level evidence (retained as Contextual, not Primary)
Goldman, Baumann, & Poulin-Dubois (2023)
Full Reference + DOI
Goldman, Baumann, & Poulin-Dubois (2023). Preschoolers’ anthropomorphizing of robots: Do human-like properties matter?.
DOI: 10.3389/fpsyg.2022.1102370
Relationship to AI pre-literacy
Adjacent intelligent-agent/social-robot — Layer 1 Core
The study investigates children’s interpretations of a humanoid artificial agent. Although highly relevant to the developmental territory proposed for AI pre-literacy, it should not automatically be treated as evidence of children’s understanding of AI. Its relevance lies primarily in the developmental processes through which children interpret and attribute psychological properties to artificial agents.
Analytical layer
Layer 1 — Core Developmental Territory
Mental-state attribution / agency attribution / anthropomorphism
Evidence status
INCLUDED — PRIMARY EMPIRICAL (15 total) — Locked 21 Aug 2026
Classification
Young children → Artificial agent → Mental-state attribution → Anthropomorphism / agency → Layer 1