Can artificial intelligence reduce learning poverty?
Can artificial intelligence reduce learning poverty?
Publish Date: 2026-03-07 07:33:00
Source Domain: www.devdiscourse.com
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Learning Poverty Persistence: Learning poverty extends beyond primary education, affecting university-level students, especially in contexts where English is the medium of instruction but students have limited proficiency in English as a foreign language.
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Impact of Education Systems Challenges: Structural issues such as teacher shortages, outdated instructional materials, limited access to digital infrastructure, and socio-economic inequalities contribute to ongoing literacy deficits in higher education.
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AI Tools’ Role in Literacy Improvement: AI-powered educational tools like NoRedInk, Rewordify, and LanguageTool were effective in enhancing students’ grammar accuracy, vocabulary, reading comprehension, idea generation, content organization, and writing style when integrated into their English courses.
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Students’ Positive Feedback: Students reported improved comprehension, clearer expression of ideas, and greater confidence in their writing, with AI tools serving as helpful supplements rather than replacements for human instructors.
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Potential for Broader Implementation: The study suggests that targeted AI integration could be a cost-effective supplement in broader education contexts, emphasizing the importance of institutional support, including internet access and digital literacy training.
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Study Limitations: The study’s small sample size and three-month duration, along with participants’ pre-existing digital comfort, suggest caution in generalizing the results broadly; future research is necessary to explore broader and longer-term impacts.
