Welcome back! SLS and MATESOL graduate students: Join us at the Green Dot for dinner! (Organized by the Student Organization for Second Language Acquisition & Pedagogy)
Come to Dan Isbell’s Practice Job Talk. He will present for 35 minutes, and then the audience will have time for questions. Drinks, including coffee, and breakfast items provided. Come cheer Dan on as he gets ready!
Come hear a special lecture, “Inside the learners’ mind: Measuring implicit and explicit knowledge of a second language,” by SLS professor Dr. Aline Godfroid. For the full abstract of the talk, CLICK HERE.
Join the first gathering of our new reading/research group, Coffee and Cognition (C&C). A focused reading and discussion session in order on adult implicit learning of second language. Overview of the relevant literature will be presented by a first-year student, Ryo Maie, followed by a focused discussion on an assigned reading (Rebuschat & Williams, 2012, Applied Psycholinguistics) and pertinent issues in the implicit learning literature.
Join the SLS & TESOL community in supporting students as they practice their talks for AAAL 2019 in Atlanta:
RYO MAIE (1:00 PM)
Demystifying the complexity of individual differences under incidental conditions: A conceptual replication and extension.
JONGBONG LEE (1:30 PM)
The effects of time constraints, genre, and proficiency on L2 writing fluency behaviors.
MYEONGEUN SON (2:00 PM)
Cross-linguistic syntactic priming in Korean L2 learners of English.
DMITRII PASTUSHENKOV (2:30 PM)
Learned attention in L2 Russian: Pedagogical perspectives.
Join the SLS & MATESOL Programs in the annual SLS Spring Symposium! Invited guest speakers are Dr. Kara Morgan-Short from the University of Illinois, Chicago, and Dr. Carrie Symons from the College of Education at MSU.
The flyer for the day’s events is here: http://sls.msu.edu/files/2215/5067/7565/SLS_SymposiumFlyer2019v3.pdf
The primary activity at this event will be low-stakes, open house-style Table Presentations with “lightning talks” focusing specifically on Computer Assisted Language Learning (CALL) and ed tech tools and practices more generally. MSU’s Center for Language Training and Advancement (CeLTA) and hosts Adam Gacs (German) and Shannon Spasova (Russian) will also facilitate several presentations that will be broadcast and recorded for online participants.
The Panamanian Culture Festival will take place from 6 to 8 p.m. on Tuesday, February 26th in the Wells Hall atrium. There will be 5 tables for presentations and food. We encourage Spanish language students and other program partners to attend. Of course, all are welcome!
Please feel free to share this event widely.
Come and support Jongbong defend his PhD dissertation on March 21 at 11am in Wells B243.
Title: The effects of time constraints, genre, and proficiency on L2 writing fluency behaviors and linguistic outcomes.
Advisor: Charlene Polio
Committee: Shawn Loewen, Paula Winke, and Patti Spinner
(Over)fitting like a glove: Adjusting regression models for better fit in L2 research
There are growing calls for more robust statistical methods in second language (L2) research (e.g., Larson-Hall & Herrington, 2010). One particular method is regression modeling (Plonsky & Ghanbar, 2018; Plonsky & Oswald, 2017), which provides a flexible, powerful alternative to more traditional procedures. Despite their attractiveness, regression models are susceptible to inflating effect sizes when the model fits the data too well. Such overfitting stems not only from outliers, but from influential data points (i.e., data that are not outliers but which exert a disproportionate influence on the overall model fit), especially when sample sizes are small, as is often the case in the field.
These issues in regression modeling can be alleviated via model validation, but this is rarely ever done (Plonsky & Ghanbar, 2018). This talk addresses the problem by providing an instructive look on how to validate regression models using the best-known method: bootstrap validation. Through discussion of regression fit, model validation, and a step-by-step tutorial with R scripts, we discover that simply taking the best fitting model for a data set may be a limiting analytical decision. Further, we show that bootstrap validation provides a relatively easy way to improve the validity of our effect size estimates.