Assessing multimodal, multilingual and GenAI academic literacy
Metadatos
Mostrar el registro completo del ítemAutor
Eybers, Oscar; Lekganyane, Matemane; Dinizulu, Sisipho; Matabologe, Kitso; Jantjies, NomxolisiEditorial
Universidad de Granada
Materia
Academic literacy Multimodal Multilingual GenAI Assessment
Fecha
2025-10-26Referencia bibliográfica
Oscar Eybers, Matemane Lekganyane, Sisipho Dinizulu, Kitso Matabologe, Nomxolisi Jantjies (2025). Assessing multimodal, multilingual and GenAI academic literacy. Journal for Educators, Teachers and Trainers, Vol.16 (6) 321-338. DOI: 10.48047/jett.2025.16.06.15
Resumen
This article critically reflects on the assessment outcomes of a semester-long academic
literacy module designed for first-year Humanities students at the University of
Pretoria. It presents both qualitative and quantitative findings from a pedagogical
approach that integrated GenAI-mediated visual knowledge construction with
conventional academic literacy practices, particularly academic writing. The data derive
from the AI-Guided Visual Literacies: Illuminating Disciplines for Conceptual
Understanding project, which invited students to incorporate visual elements in
articulating their pre-university and emerging disciplinary identities. Findings highlight
both the affordances and limitations of this multimodal approach. On the one hand, the
integration of visual modalities enabled students to transcend the constraints typically
associated with unimodal textual expression. On the other hand, a 15.5% performance
decline was observed when students transitioned to more traditional, exclusively written
forms of academic discourse, such as the literature review. The findings reveal that
while multimodality holds promise for enhancing student engagement and self-
representation, conversely, its integration into academic literacy curricula demands a
nuanced appreciation of students’ varying degrees of readiness for university-level
knowledge production. The article concludes by proposing pedagogical strategies that
bridge conventional academic genres with multimodal and multilingual forms of
meaning-making, including GenAI.





