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March 27, 2026Discover Education0 citationsOpen Access

ChatGPT as a learning scaffold in critical theory education among Bangladeshi students

KCKeya ChakrabortySSShajadul Alam SweetMEMd. Nurul Kabir Emon

Key Points

  • The research investigates the use of ChatGPT by Bangladeshi students to enhance understanding of critical theory.
  • Conducted interviews and collected written reflections from undergraduate students.
  • Analyzed AI interaction logs to assess engagement with ChatGPT.
  • Examined the impacts of AI on understanding complex theoretical texts.
  • Students reported that ChatGPT helped translate jargon and clarify complex ideas.
  • AI support fostered algorithmic dependence, reducing critical engagement with material.
  • The findings reveal a dual role for AI: as a helpful tool and a potential risk in learning.

Abstract

This paper examines how undergraduate students in Bangladesh have used generative AI, particularly ChatGPT, as an informal learning tool to address the linguistic and conceptual challenges of critical theory. Using interviews, written reflections, and AI interaction logs, the study investigates how students utilise ChatGPT to translate jargon, clarify abstract ideas, and contextualise Western theoretical texts by Marx, Freud, Foucault, and Derrida. Their practices suggest both the teaching potential and epistemic risks of AI-supported learning. While ChatGPT acted as a scaffold that made complex ideas more accessible, it also fostered algorithmic dependence, replacing interpretive struggle with a fluent but uncritical understanding. Framed within debates on critical digital pedagogy and postcolonial education, the study argues that students’ spontaneous use of AI creates a “shadow pedagogy” that fills institutional gaps while transforming the relationships among language, technology, and knowledge. It highlights how AI in the Global South functions as a cultural translator within unequal knowledge environments, offering insights into a more inclusive, critically aware integration of AI in higher education.

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Cite This Study

Chakraborty et al. (2026) studied this question.

synapsesocial.com/papers/69c61fa915a0a509bde18139https://doi.org/10.1007/s44217-026-01425-w
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