DigComp 2.2 added 73 novel AI examples, concentrated in communication and collaboration, problem solving, and information and data literacy¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Of the 73 novel AI examples DigComp 2.2 adds across competence areas, most concern communication and collaboration (31.51%, n = 23), problem solving (27.40%, n = 20), and information and data literacy (19.18%, n = 14), with less attention to safety (12.33%, n = 9) and digital content creation (9.59%, n = 7). → Zemin Guo 2026

Evidence¶

Zemin Guo 2026¶

Zemin Guo, Wenhui Li, Laure Lu Chen, Qianru Liang, & Yuxuan Wu. (2026). Reconceptualizing digital literacy in the AI era: A systematic review of validated frameworks from an ecological perspective. Computers and Education: Artificial Intelligence, 11, 100679. https://doi.org/10.1016/j.caeai.2026.100679

q2 · i? · review · r2

Review analysis of DigComp 2.2's AI-related examples as concrete expansion of digital literacy. The review frames this as one of two themes of AI's impact: "expansion with concrete and novel examples" making applications easier for citizens to understand.

"It amends 73 novel AI examples across competence areas. The majority of the amended examples were about communication and collaboration (31.51%, n = 23), problem solving (27.40%, n = 20), and information and data literacy (19.18%, n = 14)."

Discussion¶

Related Claims¶

• Mapped against DigComp 2.2, developed-region frameworks cover communication and collaboration more widely while developing-region frameworks emphasize problem solving — related
• Student-focused digital literacy frameworks most frequently emphasize five DigComp-aligned element categories, led by information and data literacy — related