Congratulations to Dr. Kris Acheson-Clair and AL undergraduates Kera Luna and Justin Taylor on their article just out in the Modern Language Journal.
Congratulations to Drs. Scott Crossley and YouJin Kim for winning this year’s ILTA Best Article Award for their co-authored paper (with Amanda Clevinger) “The Role of Lexical Properties and Cohesive Devices in Text Integration and Their Effect on Human Ratings of Speaking Proficiency” published in Language Assessment Quarterly!
Ph.D. student Kris Kyle has won a Language Learning dissertation grant
Dr. Roemer accepted an invitation from John Benjamins Publishing to become co-editor of their book series Studies in Corpus Linguistics, which has already published a very impressive number of books: https://benjamins.com/#catalog/books/scl/volumes
Ute Roemer along with Jayanti Banerjee received funding for a study entitled “Validating the MET speaking test through phraseological analysis: A corpus approach to language assessment.” The study will create a corpus of speaking test transcripts that will be mined for phraseological patterns.
PhD student Nicole Pettitt has been awarded the “2015-2016 Ethel Woodruff Draper Fellowship for the Development of Young Women,” which will provide $3,000 in support of her research on refugee women’s language and literacy learning.
The selection committee for the NFMLTA/ACTFL Dissertation Support Grant has named Kris Kyle as a recipient for 2015. The award is valued at $2,500.
Scott Crossley along with researchers at the University of California San Francisco, Arizona State University, and Kaiser Permanente received a 3.1 million dollar grant from the National Institute of Health to investigate doctor-patient discourse in on-line diabetes care.
Ph.D. candidate MinKyung Kim has just published a paper in the journal System. The paper is entitled “Tasked-based Language Learning – Insights from and for L2 Writing.
Stephen Skalicky has been awarded a $3,000 Qualtrics Behavioral Research Grant to study semantic processing in puns using on-line crowd sourcing techniques.