Systematic review on early childhood AI literacy shaped by robots
Overview
A review of 11 studies finds early childhood AI literacy definitions align with robot capabilities rather than child developmental needs. Researchers highlight a Concept-Practice-Perspective framework, but caution against abstract concepts in young learners.
From Robotics — Robot learning news discovery
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · number of records initially identified: 178 other · Basis not reported
“ished between January 1, 2020 and November 5, 2025, with the final database searches conducted on November 6, 2025. The initial search yielded 178 records. After removing 56 duplicates, two researchers independently screened the titles and abstracts of 122 records, with 84 considered potentially relevant and advanced to full-text review. Screening agreement was high, with a Cohen’s kappa of 0.92. Ultimately, 11 revie”
Exact source · revision 2Source owner not reported
Reported quantity · number of duplicates removed: 56 other · Basis not reported
“ished between January 1, 2020 and November 5, 2025, with the final database searches conducted on November 6, 2025. The initial search yielded 178 records. After removing 56 duplicates, two researchers independently screened the titles and abstracts of 122 records, with 84 considered potentially relevant and advanced to full-text review. Screening agreement was high, with a Cohen’s kappa of 0.92. Ultimately, 11 revie”
Exact source · revision 2Source owner not reported
Reported quantity · number of records screened for titles and abstracts: 122 other · Basis not reported
“ished between January 1, 2020 and November 5, 2025, with the final database searches conducted on November 6, 2025. The initial search yielded 178 records. After removing 56 duplicates, two researchers independently screened the titles and abstracts of 122 records, with 84 considered potentially relevant and advanced to full-text review. Screening agreement was high, with a Cohen’s kappa of 0.92. Ultimately, 11 revie”
Exact source · revision 2Source owner not reported
Reported quantity · number of records considered potentially relevant: 84 other · Basis not reported
“ished between January 1, 2020 and November 5, 2025, with the final database searches conducted on November 6, 2025. The initial search yielded 178 records. After removing 56 duplicates, two researchers independently screened the titles and abstracts of 122 records, with 84 considered potentially relevant and advanced to full-text review. Screening agreement was high, with a Cohen’s kappa of 0.92. Ultimately, 11 revie”
Exact source · revision 2Source owner not reported
Reported quantity · number of review articles formally included: 11 other · Basis not reported
“ished between January 1, 2020 and November 5, 2025, with the final database searches conducted on November 6, 2025. The initial search yielded 178 records. After removing 56 duplicates, two researchers independently screened the titles and abstracts of 122 records, with 84 considered potentially relevant and advanced to full-text review. Screening agreement was high, with a Cohen’s kappa of 0.92. Ultimately, 11 revie”
Exact source · revision 2Source owner not reported
Reported quantity · number of studies coded independently: 11 other · Basis not reported
“w articles met all inclusion criteria and were formally included in the synthesis. The researchers coded the 11 studies independently, focusing on three core elements: how early childhood AI literacy is defined and which dimensions it includes, the main themes explored, and the pedagogies used and their effects. After initial coding, the two researchers cross-checked results through two online discussions and one off”
Exact source · revision 2Source owner not reported
Reported quantity · number of studies with thematic analysis: 11 other · Basis not reported
“d who can use a generative AI tool to draw a picture does not necessarily have the cognitive maturity to understand the algorithm behind it. Thematic analysis of the 11 studies revealed four core research areas. AI cognition and conceptual understanding is the most widely investigated theme, addressed in all 11 studies, focusing on how young children comprehend basic AI concepts, with research indicating that early A”
Exact source · revision 2Source owner not reported
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- Robotics — Robot learning news discoverySystematic review reveals early childhood AI literacy shaped by robot capabilities, not child development
A review of 11 studies finds early childhood AI literacy definitions align with robot capabilities rather than child developmental needs. Researchers highlight a Concept-Practice-Perspective framework, but caution against abstract concepts in young learners.
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