语言教育与人工智能:全球南方大学学术面临的挑战探讨

S. Makeleni, B. Mutongoza, M. A. Linake
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引用次数: 1

摘要

虽然全球南方大学在采用数字技术方面取得了重大进展,但仍存在巨大差距,特别是在高等院校接受人工智能(AI)方面。因此,本研究试图从已发表的文献中探索全球南方学者报告的语言教育领域与人工智能相关的挑战。为了实现这一目标,研究人员采用了一种文献综述方法,该方法需要使用关键词仔细搜索已发表的文献。文献报道的挑战揭示了四大挑战,即有限的语言选择,学术不诚实,偏见和缺乏问责制,以及学生和讲师的懒惰。基于这些发现,该研究建议紧急优先开发基于人工智能的语言教育工具,专门针对全球南方学习者的需求和背景进行定制。该研究还建议开发可获得和负担得起的基于人工智能的语言教育工具,这将促进全球南方国家教育工作者和学习者的数字扫盲技能发展。
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Language Education and Artificial Intelligence: An Exploration of Challenges Confronting Academics in Global South Universities
While the global South universities have made significant strides in adopting digital technologies, there remain huge gaps, particularly when it comes to the acceptance of artificial intelligence (AI) in institutions of higher learning. As such, this study sought to explore global South academics’ reported AI-related challenges in the language education domain from published literature. To achieve this, the researchers employed a literature review methodology which entailed meticulous searches for published literature using key words. The challenges reported in literature revealed four broad challenges namely limited language options, academic dishonesty, biases and lack of accountability, and laziness among students and lecturers. Based on these findings, the study recommended that there be an urgent prioritisation of the development of AI-based language education tools that are specifically tailored to the needs and contexts of learners in the global South. The study also recommended the development of accessible and affordable AI-based language education tools, that will promote the development of digital literacy skills among educators and learners in the global South.
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