The role of artificial intelligence in decolonising academic writing for inclusive knowledge production

Authors

DOI:

https://doi.org/10.38140/ijer-2024.vol6.s1.06

Keywords:

Decolonization, artificial intelligence, academic writing, non-English speakers

Abstract

This conceptual article delves into the integration of Artificial Intelligence (AI) in academia, focusing on its potential to decolonise academic writing for inclusive knowledge production. The paper begins with an overview of decolonisation in academic discourse and introduces AI's emerging role in this field. It then reviews the literature on decolonial perspectives in academia, the challenges faced by non-native English speakers in academic writing, and previous AI research in education, highlighting gaps that necessitate a decolonial and critical approach. The theoretical framework combines decoloniality and critical theory, linking these to empower non-native English-speaking academics. Using a theory synthesis design, the discussion explores this group's unique challenges in academic writing and how AI, specifically applications like ChatGPT, can be a transformative tool for inclusivity in publication spaces. It critically examines how AI can contribute to decolonising academic knowledge writing. However, it also addresses potential challenges and ethical considerations in merging AI with decolonial perspectives. The article forecasts future AI developments and their implications for decolonising academic experiences, emphasising the need for inclusive technological advancements. In conclusion, the article stresses AI's potential role in decolonising academic practices and calls for further interdisciplinary dialogue and exploration. Recommendations for universities, academics, policymakers, and curriculum designers, as well as implications for decolonial and critical discourses, are provided.

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Published

2024-10-22

How to Cite

Omodan, B. I., & Marongwe, N. . (2024). The role of artificial intelligence in decolonising academic writing for inclusive knowledge production. Interdisciplinary Journal of Education Research, 6(s1), 1-14. https://doi.org/10.38140/ijer-2024.vol6.s1.06