Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…

Recent advancements in Artificial Intelligence (AI) are transforming language education by enabling more effective instructional practices and enhanced learning outcomes. AI-driven technologies--including tutoring systems, personalized learning platforms, and automated assessment tools--have the potential to revolutionize classroom instruction.…

This quantitative study surveyed 162 higher education faculty nationwide to examine attitudes toward artificial intelligence integration across academic disciplines and backgrounds. Using validated survey instruments, the study measured AI familiarity, usage, adoption readiness, perceived benefits, and concerns. Statistical analysis revealed…

The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…

This poll was conducted between March 24-April 5, 2023 among a national sample of 1,000 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Among the key findings are: (1) Over 40 percent of teens have heard either a lot or some about ChatGPT, while…