Reuter, T., Borovsky, A., & Lew-Williams, C. (in press). Predict and redirect: Prediction errors support children’s word learning. Developmental Psychology. Big thanks to my co-authors and all our participant families!
Here are my slides for SRCD 2019. A large body of research indicates that environmental factors like SES play a role in children's language development (for review see Fernald & Weisleder, 2011). These findings reveal that children's day-to-day language experiences vary tremendously, as do their developmental trajectories. Factors like SES, language input, and language processing … Continue reading SRCD 2019: language input and prediction
Here is our poster for SRCD 2019. Recent theories claim that prediction supports language development, and previous findings are in line with this view (Dell & Chang, 2014; Reuter et al., under revision). However, because behavioral measures of prediction are indirect, it’s unclear what representations are activated during processing, and how specific those representations are … Continue reading SRCD 2019: prediction vs. repetition
Here is our poster for SRCD 2019. Verbal prediction is claimed to be an important mechanism supporting language development (Elman, 1990; Dell & Chang, 2014). In line with this view, prior findings indicate that infants can predict upcoming words during language processing (Reuter et al., under revision) and that prediction and vocabulary size are positively … Continue reading SRCD 2019: fNIRS decoding
Here are my slides for BUCLD 2018. A number of recent theories propose that prediction facilitates efficient language processing. Supporting this idea are findings that listeners can use verb semantics and number markings to predict upcoming referents (Mani & Huettig, 2012; Lukyanenko & Fisher, 2016). However, precisely how prediction occurs during language processing remains uncertain. One … Continue reading BUCLD 2018
This past week, I was honored to give a research talk at She Roars - a conference celebrating women at Princeton. This conference was a unique opportunity to reflect on all the amazing women who have mentored me: Jenny Saffran, Maryellen MacDonald, Melanie Jones, Alexa Romberg, Jessica Willits, Jill Lany, Jess Hay, Jesse Snedeker, Manizeh Kahn, Melissa … Continue reading she roars
I'm excited to announce that our new online course - Introduction to Statistics with R - is now open for enrollment! The Princeton McGraw Center for Teaching and Learning featured the course on their homepage, so hopefully this will help to get the word out to students. To learn more and to enroll in the … Continue reading online R course is open for enrollment