Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…

The ever-increasing application of Digital Humanities techniques to social scientific research questions calls for continuous reflection on how they can contribute to scholarly research in combination with other more common text analysis methods. This article explores the various dimensions along which scholarly text analysis can be performed,…

Progress made in Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years has resulted in these tools becoming more accessible for individuals who lack professional training. Of particular note are large language models, such as OpenAI's GPT-3.5. Discussions of utilizing AI for language education usually focus on the…

ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…

Effective collaboration and teamwork skills are critical in high-risk sectors, as deficiencies in these areas can result in injuries and risk of death. To foster the growth of these vital skills, immersive learning spaces have been created to simulate real-world scenarios, enabling students to safely improve their teamwork abilities. In such…

This chapter presents an innovative, cross-disciplinary methodological approach to systematically reviewing and comparing large bodies of literature using big data, Natural Language Processing, network analysis, and supplementary qualitative analysis. The approach is demonstrated through an analysis of the literature surrounding four common…

Repetition is a central phenomenon of behavior, and researchers have made extensive use of it to illuminate psychological functioning. In the language sciences, a ubiquitous form of such repetition is "structural priming," a tendency to repeat or better process a current sentence because of its structural similarity to a previously experienced…

Learner corpora, electronic collections of spoken or written data from foreign language learners, offer unparalleled access to many hitherto uncovered aspects of learner language, particularly in their error-tagged format. This article aims to demonstrate the role that the learner corpus can play in CALL, particularly when used in conjunction with…

Assesses whether 30 children aged three-five years had a preferred direction in responding to "when"-questions and whether this preference could be influenced by story structure. Results indicated that children showed a preference for "after"-type responses and that productions of "before" were more likely to be…

Results from these two studies show that fast mapping--gaining information about a word from how it is used in a sentence, what words it is contrasted with, and other factors--can be used successfully by children two to four years old to form quick and rough hypotheses about the meaning of a word. (PCB)

Syntactic processing was explored in nine individuals who stutter (IWS). Grammaticality judgments and event-related brain potentials (ERPs) were obtained while participants read sentences, half containing verb-agreement violations, via computer or paper. Judgment accuracy of IWS for the online task, but not offline, was lower, especially for more…

Investigates whether patient animacy affected the acquisition of the passive construction of syntax of 32 children aged two-five years. Results indicate that children who were taught the passive with animate patients produced more passives in the teaching phase than did comparable children who received inanimate patients. (RJC)

This study of sequential memory in 16 children with language impairment found that list-final suffix effect was substantially larger than in control children, even though other aspects of their recall were normal. Children with language impairment were more dependent upon unanalyzed acoustic and phonetic representations of speech. Response…

Connectionist (parallel distributed processing) modeling provides a new way to approach the neurological study of language. This method focuses on the interplay between a computational model and the appropriate neurological, neuropsychological, and speech and language data, couched in connectionist mechanisms that map naturally to what is known of…

The paper discusses problems with traditional definitions of dyslexia and reviews research that suggests a more comprehensive definition, viewing dyslexia as a developmental language disorder that involves a deficit in phonological processing. The disorder is seen as manifesting itself in various phonological difficulties as well as in a specific…