Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. To aid the development of trust in these decisions, we develop a taxonomy delineating where trust in an analysis can break down: (1) in the translation of real-world goals to goals on a particular set of training data, (2) in the…

Autistic individuals have significant social-communication challenges that commonly persist into adulthood and impact academic, social, and vocational pursuits. More than two decades of research have established video behavior modeling as a successful, cost-effective, and time-efficient intervention tool for autistic children; however, less…

The ACTFL Assessment of Performance Toward Proficiency in Languages (AAPPL, https://www.actfl.n.d.org/assessments/k-12-assessments/aappl) assesses proficiency in 11 languages for students in grades 3 to 12 and is often used to award the Seal of Biliteracy. While arguments for the valid interpretation and uses of the AAPPL have previously been…

Purpose: This study examined the conceptions of assessment and its relationship to self-regulation and self-confidence among pre-service teachers. Design/methodology/approach: Participants were 278 pre-service students attending a teacher's college in Bahrain. This study employed the structural equation modeling (SEM) approach to investigate the…

Researchers established virtual manipulatives as an evidence-based practice for students with intellectual and developmental disabilities (IDD). However, much of the existing research for this population targets middle school students with IDD. This study examined a virtual number line paired with teacher modeling and the system of least prompts…

This study evaluated acquisition, preference, and generalization of two forms of augmentative and alternative communication (AAC) during functional communication training (FCT) with two students with autism spectrum disorder (ASD). Acquisition of FCT responses, using a picture-based communication system and speech-generating device (SGD; Apple…

Children with delays in expressive language (late talkers) have heterogeneous developmental trajectories. Some are late bloomers who eventually "catch-up," but others have persisting delays or are later diagnosed with developmental language disorder (DLD). Early in development it is unclear which children will belong to which group. We…

This replication study seeks to extend the generalizability of an exploratory study (McDonough et al., 2019) that identified holds (i.e., temporary cessation of dynamic movement by the listener) as a reliable visual cue of non-understanding. Conversations between second language (L2) English speakers in the Corpus of English as a Lingua Franca…

Language disorder is characterized by difficulty with the comprehension and production of different aspects of language. School-aged children with developmental language disorder (DLD) and school-aged children with Down syndrome (DS) demonstrate similar deficits in the area of morphosyntax, which often creates barriers during social interactions…

Twelve college students learned to tact the names of notes and rhythms and play them when presented with compound stimuli (visuals of notes and rhythms on a musical staff). In Experiment 1, we assessed generalization by presenting novel notes, rhythms, and compound stimuli not previously paired together. In the second experiment, we added a…

Carl Kaestle defines a generalization as "how we know when we know." Kaestle sketches a model of increasing certainty in historical claims as they are developed and refined at increasing scales of research, from local to international. A historical claim might originate in the study of a particular place or case, but to know that the…

In random-effects meta-analysis the between-study variance ([tau][superscript 2]) has a key role in assessing heterogeneity of study-level estimates and combining them to estimate an overall effect. For odds ratios the most common methods suffer from bias in estimating [tau][superscript 2] and the overall effect and produce confidence intervals…

As modern deep networks become more complex, and get closer to human-like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present…

Theoretical extensions of Skinner's verbal behavior that emphasize derived relational responding (stimulus equivalence, relational frame theory, and bidirectional naming) can improve the complexity and scope of applied behavior-analytic training models with children. We evaluated the prevalence and content of empirical research on derived…

English-monolingual children develop a shape bias early in language acquisition, such that they more often generalize a novel label based on shape than other features. Spanish-monolingual children, however, do not show this bias to the same extent (Hahn & Cantrell, 2012). Studying children who are simultaneously learning both Spanish and…