Facilitating the emergence of convergent intraverbals in children with autism

Convergent intraverbals represent a specific type of intraverbal in which multiple components of one speaker's verbal behavior control a specific verbal response from another speaker (e.g., Speaker 1: What wooly, horned animal lives in the high country? Speaker 2: Bighorn sheep). To foster the development of advanced language, Sundberg and Sundberg (2011) proposed prerequisite skills that may engender the emergence of novel, convergent intraverbals. We used a multiple‐probe design with both nonconcurrent (across participants) and concurrent (across stimulus sets) components to evaluate the effects of training these prerequisite skills on the emergence of convergent intraverbals with four children with autism. Participants showed the emergence of convergent intraverbals at mastery levels after they displayed mastery performance on all of the prerequisite skills identified by Sundberg and Sundberg, lending support to their characterization as prerequisites. We discuss these findings in terms of operant mechanisms that may facilitate the development of generative language.     

An intervention using morphology to derive word meanings for English language learners

Many English language learners (ELL) experience academic and reading difficulties compared to native English speakers (NES). Lack of vocabulary knowledge is a contributing factor for these difficulties. Teaching students to analyze words into their constituent morphemes (meaningful word units) in order to determine the meaning of words may be an avenue to increase vocabulary knowledge. This study investigated potential benefits of morphological instruction for learning vocabulary words and generalizing taught words to untaught words containing these morphemes. Nine fourth‐ and fifth‐grade ELL with reading difficulties participated in a multiple baseline, single‐case design study. Visual analysis of the results revealed a functional relation between the intervention and an increase in participants' vocabulary scores with 90% to 100% nonoverlapping data for eight participants. The effects of training generalized to untaught words. These findings suggest that morphological analysis is a promising approach to increase vocabulary knowledge of ELL.     

Learning a second language by playing a game

Game‐like educational apps are intended to boost learner motivation leading to better learning outcomes. To test this idea about the value of gamification, college students (n = 64) learned Italian by playing the online language learning game, Duolingo at home for seven sessions, or learned the same material through watching an online slideshow for seven sessions. Although the groups did not differ significantly on achievement posttests, the Duolingo group rated their learning experience as significantly more enjoyable (d = 0.77), more appealing (d = 1.17), and less difficult (d = 0.51), and was significantly more willing to continue with similar learning experiences (d = 1.39). Overall, these results point to the motivational and affective benefits of Duolingo as a promising alternative to more traditional methods for students who may require additional motivation not to disengage from the material.     

The role of the native language in auditory and visual context effect modalities

Facilitation of memory for target stimuli due to similar context in the learning and testing phases is known as “context effect” (CE). The present study aimed to investigate the interaction between CE as elicited by the consistency of the language of presentation (Hebrew vs. English) with the native language (Hebrew vs. English) in both auditory and visual modalities. Overall, 120 individuals participated in the experiment. As predicted, CE was evident when the language of presentation remained consistent between study and test. Contrary to our prediction, Hebrew speakers remembered more English words, and vice versa. A possible explanation is that this difference is due to the cognitive effort invested when processing a less dominant language, thus resulting in better recognition. This study has several practical implications, including a recommendation that academic institutions test students in the language in which the material was presented in order to measure the students' knowledge more accurately.     

Reading,feeling, believing: online testimonies and the making of Evangelical emotion

A personal relationship with God is central to Evangelical belief. It unfolds as believers interpret internal sensations as coming from outside—from God. How does the formulaic design of testimonies present the audience with a personal relationship with God as a pursuit that is both feasible and deeply desirable? Analyzing the discursive rules structuring the appearance of emotion in the most popular testimonies on the online platform of Christianity Today reveals that such texts expertly present a microcosm in which the experience of reading mirrors the trajectory toward belief writers describe. To read a testimony from start to finish, readers must choose to tolerate the unfamiliar: that is, feel emotions that specifically belong in an Evangelical frame. Online written testimony relies on compelling storytelling to move readers, making them practise what it feels like to hand over part of one’s own story to God.     

Children lose confidence in their potential to “be scientists,” but not in their capacity to “do science”

Over the course of middle childhood, children's interest and beliefs about their own capacities for success in science often decline. This pernicious decline is especially evident among underrepresented groups, including girls, members of some racial and ethnic minorities, and children from lower socioeconomic backgrounds. The present research (N = 306, ages 6–11) found that while children lose interest and feelings of efficacy about their potential to “be scientists” across middle childhood, they maintain more robust interest and efficacy about “doing science.” These patterns were confirmed in both longitudinal and cross‐sectional analyses; effects were stable or increased across time and age. Mediation analyses revealed that the positive effect of action framing is partially accounted for by children's views that the group of people who do science is more inclusive than the category of scientists. These findings suggest that using action‐focused language to encourage children in science is more inclusive and may lead to more science engagement across middle childhood than language that emphasizes scientists as an identity category. Implications for educational practices will be discussed.     

Newborns are sensitive to multiple cues for word segmentation in continuous speech

Before infants can learn words, they must identify those words in continuous speech. Yet, the speech signal lacks obvious boundary markers, which poses a potential problem for language acquisition (Swingley, Philos Trans R Soc Lond. Series B, Biol Sci 364 (1536), 3617–3632, 2009). By the middle of the first year, infants seem to have solved this problem (Bergelson & Swingley, Proc Natl Acad Sci 109 (9), 3253–3258, 2012; Jusczyk & Aslin, Cogn Psychol 29 , 1–23, 1995), but it is unknown if segmentation abilities are present from birth, or if they only emerge after sufficient language exposure and/or brain maturation. Here, in two independent experiments, we looked at two cues known to be crucial for the segmentation of human speech: the computation of statistical co‐occurrences between syllables and the use of the language's prosody. After a brief familiarization of about 3 min with continuous speech, using functional near‐infrared spectroscopy, neonates showed differential brain responses on a recognition test to words that violated either the statistical (Experiment 1) or prosodic (Experiment 2) boundaries of the familiarization, compared to words that conformed to those boundaries. Importantly, word recognition in Experiment 2 occurred even in the absence of prosodic information at test, meaning that newborns encoded the phonological content independently of its prosody. These data indicate that humans are born with operational language processing and memory capacities and can use at least two types of cues to segment otherwise continuous speech, a key first step in language acquisition.     

Twitter sentiment analysis with a deep neural network: An enhanced approach using user behavioral information

Sentiment analysis on social media such as Twitter has become a very important and challenging task. Due to the characteristics of such data—tweet length, spelling errors, abbreviations, and special characters—the sentiment analysis task in such an environment requires a non-traditional approach. Moreover, social media sentiment analysis is a fundamental problem with many interesting applications. Most current social media sentiment classification methods judge the sentiment polarity primarily according to textual content and neglect other information on these platforms. In this paper, we propose a neural network model that also incorporates user behavioral information within a given document (tweet). The neural network used in this paper is a Convolutional Neural Network (CNN). The system is evaluated on two datasets provided by the SemEval-2016 Workshop. The proposed model outperforms current baseline models (including Naive Bayes and Support Vector Machines), which shows that going beyond the content of a document (tweet) is beneficial in sentiment classification, because it provides the classifier with a deep understanding of the task.     

Predictors of life satisfaction among multicultural African families in South Korea

The aim of this study was to predict perceived life satisfaction of multicultural African families living in South Korea in terms of their fluency in the Korean language, government support for education, and the experience of discrimination. A total of 64 family members (29 women, 45.3%) completed measures of life satisfaction, Korean language fluency, public welfare assistance, and social discrimination. A hierarchical regression analysis determined that life satisfaction was higher among those with fluency in the Korean language and low or no reliance on public welfare programs. Experience of social discrimination was unrelated to life satisfaction. Host-country language fluency and livelihood self-sustenance seem to be key resources for families with immigrant spouses.