The impact of generative artificial intelligence on socioeconomic inequalities and policy making.

Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems.

Artificial intelligence in education: Addressing ethical challenges in K-12 settings.

Artificial intelligence (AI) is a field of study that combines the applications of machine learning, algorithm productions, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors.

Inquiring tweets want to know: #Edchat supports for #RemoteTeaching during COVID-19.

Social media use has spiked around the world during the COVID-19 global pandemic as people reach out for news, information, social connections, and support in their daily lives. Past work on professional learning networks (PLNs) has shown that teachers also use social media to find supports for their teaching and ongoing professional development. This paper offers quantitative analysis of over a half million Twitter #Edchat tweets as well as qualitative content analysis of teachers' question tweets ( = 1054) and teacher interviews ( = 4).

Youth as content producers in a niche social network site.

Most U.S. teenagers participate in online social network sites, devoting hours to these networks, often at the expense of other leisure-time activities.