Reconceptualising literacy as co-literacy in language education with AI

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Antonie Alm (2025)

In: Insights into AI and Language Teaching and Learning (Chapter 4)

Description

Abstract

This chapter explores a fundamental question for language education in the age of artificial intelligence: What does literacy mean when machines can write? As Kalantzis and Cope (2025) provocatively challenge us to consider, this technological shift requires a reconceptualisation of literacy beyond exclusively human practice. The traditional understanding of literacy, centred on print-based reading and writing, does not address the complexities of an era where AI-generated texts, multimodal communication and human-AI interactions are commonplace. In response to these developments, I propose the concept of “co-literacy”, which redefines literacy as a collaborative process between humans and AI. Co-literacy recognises the distinct yet complementary capabilities that each brings to meaning-making processes, humans with their contextual awareness, ethical reasoning and creative adaptation, machines with their computational power and multimodal processing capabilities. By contextualising co-literacy within the history of literacy and drawing on the multiliteracies framework of the New London Group, this chapter positions AI as a collaborative agent in language learning. This chapter offers a conceptual foundation for emerging pedagogical practices that foster learner autonomy, creative engagement and critical awareness in AI-mediated learning environments.

Suggested citation

Alm, A. (2025). Reconceptualising literacy as co-literacy in language education with AI. In Y. Wang, A. Alm, & G. Dizon (Eds.), Insights into AI and language teaching and learning. (pp. 53-76). Castledown. https://doi.org/10.29140/9781763711600-04

Additional Information

DOI

https://doi.org/10.29140/9781763711600-04

Pages

53-76

Description

Abstract

This chapter explores a fundamental question for language education in the age of artificial intelligence: What does literacy mean when machines can write? As Kalantzis and Cope (2025) provocatively challenge us to consider, this technological shift requires a reconceptualisation of literacy beyond exclusively human practice. The traditional understanding of literacy, centred on print-based reading and writing, does not address the complexities of an era where AI-generated texts, multimodal communication and human-AI interactions are commonplace. In response to these developments, I propose the concept of “co-literacy”, which redefines literacy as a collaborative process between humans and AI. Co-literacy recognises the distinct yet complementary capabilities that each brings to meaning-making processes, humans with their contextual awareness, ethical reasoning and creative adaptation, machines with their computational power and multimodal processing capabilities. By contextualising co-literacy within the history of literacy and drawing on the multiliteracies framework of the New London Group, this chapter positions AI as a collaborative agent in language learning. This chapter offers a conceptual foundation for emerging pedagogical practices that foster learner autonomy, creative engagement and critical awareness in AI-mediated learning environments.

Suggested citation

Alm, A. (2025). Reconceptualising literacy as co-literacy in language education with AI. In Y. Wang, A. Alm, & G. Dizon (Eds.), Insights into AI and language teaching and learning. (pp. 53-76). Castledown. https://doi.org/10.29140/9781763711600-04

Additional Information

DOI

https://doi.org/10.29140/9781763711600-04

Pages

53-76