Explore the vast range of titles available.

This study examined the quantity and quality of parental linguistic input to toddlers with moderate hearing loss (MHL) compared with toddlers with normal hearing (NH). The linguistic input to eighteen toddlers with MHL and twenty-four toddlers with NH was examined during a 10-minute free-play activity in their home environment. Results showed that toddlers with MHL were exposed to an equivalent amount of parental linguistic input compared to toddlers with NH. However, parents of toddlers with MHL used less high-level facilitative language techniques, used less mental state language, and used shorter utterances than parents of toddlers with NH. Quantity and quality measures of parental linguistic input were positively related to the expressive language abilities of toddlers with MHL.

The present study investigated the effect of verbal working memory capacity (VWMC) on the processing of semantic information during on-line lexical ambiguity resolution of bilinguals. Seventeen Persian–English subordinate bilinguals of similar proficiency level were recruited to perform two experimental tasks: (1) a multi-load-level reading span task designed to measure their VWMC and (2) a cross-modal semantic priming task (CMPT), 24 h subsequent to the last encoding session, to assess their performance on semantic processing of L2 homographs whose subordinate readings were deemed “novel” for them. An overall 2 × 3 repeated-measures ANOVA revealed a statistically significant difference in the processing of the encoded semantic information between high and low WMC participants. The findings of the experiments lend support to the veracity of the assumptions made by Reordered Access Model in that biasing semantic context facilitates the ambiguity resolution of lexical items. Lastly, the pedagogical implications of the findings were expounded on.

Sperry, Sperry, and Miller (2018) aim to debunk what is called the 30-million-word gap by claiming that children from lower income households hear more speech than Hart and Risley (1995) reported. We address why the 30-million-word gap should not be abandoned, and the importance of retaining focus on the vital ingredient to language learning—quality speech directed to children rather than overheard speech, the focus of Sperry et al/s argument. Three issues are addressed: Whether there is a language gap; the characteristics of speech that promote language development; and the importance of language in school achievement. There are serious risks to claims that low-income children, on average, hear sufficient, high-quality language relative to peers from higher income homes.

Artificial intelligence-based tools are rapidly revolutionizing the field of higher education, yet to be explored in terms of their impact on existing higher education institutions' (HEIs) practices adopted for continuous learning improvement, given the sparsity of the literature and empirical experiments in undergraduate degree programs. After the entry of ChatGPT -a conversational artificial intelligence (AI) tool that uses a deep learning model to generate human-like text response based on provided input-it has become crucial for HEIs to be exposed to the implications of AI-based tools on students' learning outcomes, commonly measured using an assessment-based approach to improve program quality, teaching effectiveness, and other learning support. An empirical study has been conducted to test the ChatGPT capability of solving a variety of assignments (from different level courses of undergraduate degree programs) to compare its performance with the highest scored student(s). Further, the ChatGPT-generated assignments were tested using the best-known tools for plagiarism detection to determine whether they could pass the academic integrity tests, including Turnitin, GPTZero, and Copyleaks. The study reported the limitations of the Bot and highlighted the implications of the newly launched AI-based ChatGPT in academia, which calls for HEIs' managers and regulators to revisit their existing practices used to monitor students' learning progress and improve their educational programs.

Everyday activities are replete with contextual cues for infants to exploit in the service of learning words. Nelson's (1985) script theory guided the hypothesis that infants participate in a set of predictable activities over the course of a day that provide them with opportunities to hear unique language functions and forms. Mothers and their firstborn 13-month-old infants (N = 40) were video-recorded during everyday activities at home. Transcriptions and coding of mothers' speech to infants—time-locked to activities of feeding, grooming, booksharing, object play, and transition—revealed that the amount, diversity, pragmatic functions, and semantic content of maternal language systematically differed by activity. The activities of everyday life shape language inputs to infants in ways that highlight word meaning.

Purpose: The purpose of this meta-analysis was to investigate the effects of augmentative and alternative communication (AAC) interventions that included aided AAC input (e.g., aided AAC modeling, aided language modeling, aided language stimulation, augmented input) on communicative outcomes (both comprehension and expression) for individuals with developmental disabilities who use AAC. Method: A systematic search resulted in the identification of 26 single-case experimental designs (88 participants) and 2 group experimental designs (103 participants). Studies were coded in terms of participants, intervention characteristics, dependent variables, outcomes, and quality of evidence. Results: AAC interventions that included aided AAC input in isolation, or as part of a multicomponent intervention, were found to be highly effective across participants of various ages, disabilities, and language skills. The interventions typically included aided AAC input in conjunction with expectant delay, direct prompting (e.g., spoken, gestural), contingent responding, and open-ended questions. The interventions were found to be highly effective in supporting both comprehension and expression across the domains of pragmatics, semantics, and morphosyntax. Outcomes related to expression were reported more often than outcomes related to comprehension. Conclusion: Aided AAC input may reduce input-output asymmetry and enhance expression and comprehension for individuals who use AAC; the evidence suggests that partners should utilize this strategy. Future research is needed to investigate the effects of AAC input (aided and unaided) on long-term language development for individuals who require AAC.

This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences across socioeconomic groups. Typically developing children between 2 to 48 months of age completed monthly, daylong recordings in their natural language environments over a span of approximately 6-38 months. The resulting data set contained 3,213 12-hr recordings automatically analyzed by using the Language Environment Analysis (LENA) System to generate estimates of (a) the number of adult words in the child's environment, (b) the amount of caregiver-child interaction, and (c) the frequency of child vocal output. Child vocalization frequency and turn-taking increased with age, whereas adult word counts were age independent after early infancy. Child vocalization and conversational turn estimates predicted 7%-16% of the variance observed in child language assessment scores. Lower socioeconomic status (SES) children produced fewer vocalizations, engaged in fewer adult-child interactions, and were exposed to fewer daily adult words compared with their higher socioeconomic status peers, but within-group variability was high. The results offer new insight into the landscape of the early language environment, with clinical implications for identification of children at-risk for impoverished language environments.

The rate at which young children are directly spoken to varies due to many factors, including (a) caregiver ideas about children as conversational partners and (b) the organization of everyday life. Prior work suggests cross-cultural variation in rates of child-directed speech is due to the former factor, but has been fraught with confounds in comparing postindustrial and subsistence farming communities. We investigate the daylong language environments of children (0;0–3;0) on Rossel Island, Papua New Guinea, a small-scale traditional community where prior ethnographic study demonstrated contingency-seeking child interaction styles. In fact, children were infrequently directly addressed and linguistic input rate was primarily affected by situational factors, though children's vocalization maturity showed no developmental delay. We compare the input characteristics between this community and a Tseltal Mayan one in which near-parallel methods produced comparable results, then briefly discuss the models and mechanisms for learning best supported by our findings.

The extant literature includes conflicting assertions regarding the influence of bilingualism on the rate of language development. The present study compared the language development of equivalently high-SES samples of bilingually and monolingually developing children from 1 ; 10 to 2 ; 6. The monolingually developing children were significantly more advanced than the bilingually developing children on measures of both vocabulary and grammar in single language comparisons, but they were comparable on a measure of total vocabulary. Within the bilingually developing sample, all measures of vocabulary and grammar were related to the relative amount of input in that language. Implications for theories of language acquisition and for understanding bilingual development are discussed.

In this article, I argue that first language (L1), second language (L2) and third language (L3) acquisition are fundamentally the same process, based on learning by parsing. Both child and adult learners are sensitive to fine linguistic distinctions, and language development takes place in small steps. While the bulk of the article focuses on crosslinguistic influence in L2/Ln acquisition, I first briefly outline the Micro-cue Model of L1 acquisition (Westergaard, 2009a, 2014), arguing that children build their I-language grammars incrementally, paying attention to small distinctions in syntax and information structure from early on. They are also shown to be conservative learners, generally not producing overt elements or performing movement operations unless there is positive evidence for this in the input, thus minimizing the need for unlearning. I then ask the question how this model fares with respect to multilingual situations, more specifically L2 and L3 acquisition. Discussing both theoretical and empirical evidence, I argue that, although L2 and L3 learners are different from L1 children in that they are not always conservative learners, they are also sensitive to fine linguistic distinctions, in that transfer/crosslinguistic influence takes place on a property-by-property basis. Full Transfer is traditionally understood as wholesale transfer at the initial state of L2 acquisition. However, I argue that it is impossible to distinguish between wholesale and property-by-property transfer in L2 acquisition on empirical grounds. In L3 acquisition, on the other hand, crosslinguistic influence from both previously acquired languages would provide support for property-by-property transfer. I discuss a few such cases and argue for what I call Full Transfer Potential (FTP), rather than Full (wholesale) Transfer, within the Linguistic Proximity Model (LPM) of L3 acquisition. Thus, rather than assuming that ‘everything does transfer’, I argue that ‘anything may transfer’.