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June 24, 2024, 9 p.m.
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Brief news summary

Since the release of ChatGPT in November 2022, educators have been discussing its impact on education. While some are concerned about potential drawbacks and the decline of traditional learning, others are cautiously optimistic. However, students are increasingly worried about AI, due to constant exposure to negative portrayals and strict policies that fuel anxiety and create an unwelcoming learning environment. Hispanic and female students, especially, feel underrepresented in AI. The lack of AI literacy among Hispanic students may worsen existing educational inequalities. To address this, educators need to help students understand AI and encourage exploration of its capabilities. Institutions should provide support and guidance to promote AI literacy, involving faculty, staff, and students. Additionally, underfunded educational institutions require investment to integrate AI into their curriculum, ensuring equal opportunities for every student.

Educators have been contemplating the impact of ChatGPT on education since its release in November 2022. While some have predicted the downfall of learning, others remain cautiously optimistic. However, the fear of AI among students is a concern that educators should consider. Policies banning the use of AI in courses and punitive measures create a hostile learning environment and hinder students' preparedness for a job market that heavily relies on AI. Hispanic and female students, in particular, may fear AI due to the lack of representation and feel discouraged from engaging with these technologies.

Failing to develop AI literacy among Hispanic students can further widen the academic achievement gap. To address this issue, educators should help students understand AI and encourage them to explore the functionalities of large language models like ChatGPT. Institutional support and guidance are essential for fostering AI literacy. Efforts to integrate AI into education face challenges in underfunded public institutions, but it is crucial to ensure equitable access to AI and prevent growing biases in large language models. Minority-serving institutions must not fall behind in AI adoption to provide equitable educational opportunities for all students.


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