To better understand the current challenges surrounding the use of artificial intelligence (AI) in K-12 schools, a team of researchers (Raffaella Borasi, David E. Miller, Patricia Vaughan-Brogan, Karen DeAngelis, Yu Jung Han, and Sharon Mason) interviewed 36 western New York school leaders in late 2023. Their concerns moved beyond potential…

This study aimed to identify the themes teacher preparation programs need to improve their current curriculum. The research focused on teacher preparation programs, professional development opportunities, technology use and integration methods, college and career readiness in PreK-12 students, ISTE Educator and Student Standards, and 21st Century…

This non-experimental qualitative bounded case study (Yin, 2014) examined how secondary school instructors and learners perceive smartphones' impact on learning in the GED classroom in an urban school in New York City (NYC). The study assessed how GED learners and instructors in an urban NYC government-funded high school equivalency program…

Purpose: This report compares device use in a cohort of Spanish-English bilingual and English monolingual children who are deaf and hard of hearing, including children fitted with traditional hearing aids, cochlear implants (CIs), and/or bone-conduction hearing devices. Method: Participants were 84 Spanish-English bilingual children and 85 English…

Artificial intelligence (AI) has been evolving since the mid-twentieth-century when luminaries such as Alan Turing, Herbert Simon, and Marvin Minsky began developing rudimentary AI applications. For decades, AI programs remained pretty much in the realm of computer science and experimental game playing. This changed radically in the 2020s when…

The humanities have the potential to enhance STEM curriculum in career-oriented professional degree programs. As part of a larger college-wide initiative to develop interdisciplinary curricula, the National Endowment for the Humanities (NEH) awarded a grant to New York City College of Technology to explore the relationship between the humanities…

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…

In order to verify our hypothesis that a certain trigger is necessary to facilitate L2 learners' communication strategy transfer to speak English, this study examined the effects of implicit and explicit cues on English utterances by Japanese speakers. Ten Japanese university students viewed a video of city-walking in New York or in Tokyo, and…

There is a purported shortage of employable labor in the tech workforce, yet Black, Indigenous, Women of Color (BIWOC) in urban centers struggle to find and sustain roles in "high-tech." The tech ecosystem is a CIS-gendered, white male heterosexual space that perpetuates and "ideal worker norm" (Kachchaf et al., 2015), which…