ARCHIVE Fall 2018 Brown Bags

August 30
Starting off on the Right Foot: Advising Session for New MA Students

Presenter: Christina Higgins, Professor & Graduate Chair, Second Language Studies, UH-Mānoa

1. Navigating your MA progress
We will examine the MA advising form together and talk about optional tracks, core courses, seminar courses, and electives. Students will better understand what it takes to complete their degrees in a timely manner.
2. The relationship between language teaching and research
New students sometimes struggle to see connections between their interest in classroom teaching and research projects that they design and analyze in their courses; we will explore this and look at examples of research that are connected to teaching, as well as research on other topics in SLS that are not directly linked to classrooms.
3. Resources for academic and personal support
We will discuss the resources on campus that offer academic support (such as The Writing Center) as well as offices that offer counseling and other forms of support to students.

September 6
Effects of Oral Rehearsal on Second Language Speaking Improvement

Presenter: Mutsuko Nagasaki, Associate Professor, English Education Center, Ehime University

This presentation summarizes three studies that investigated the effects of oral rehearsals in first-year Japanese university classes (155 participants in total). The impetus for the research was to increase the English output opportunities in an EFL setting by combining a speech in class and oral rehearsals at home.

Professor Nagasaki’s research interests include L2 output and interaction and assessment in the L2 classroom.

September 13
Reproducible Quantitative and Qualitative Data Analysis in R and RStudio

Presenter: Geoffrey LaFlair, Assistant Professor, Second Language Studies, UH-Mānoa

Do you have or are you planning on collecting data this semester? If so, you probably intend to analyze that data at some point. You may be wondering how you can analyze your data using reproducible methods—processes that make it easier to re-analyze your data using the same procedures. If so, one answer is to use R and RStudio. This brown bag session will demonstrate how to use R and RStudio both quantitative (e.g., descriptive statistics) and qualitative (e.g., hand-coding interactions) data analyses.

September 20 
Latent Classes of Smartphone Dictionary Users among Chinese EFL Learners: A Mixed-method Inquiry into Motivation for Mobile Assisted Language Learning

Presenter: Xiqin Liu, Associate Professor, School of Foreign Languages, South China University of Technology, Guangzhou, China

Co-Authors: Dongping Zheng, Associate Professor, Second Language Studies, UH-Mānoa; Yushuai Chen, Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China

This mixed-method study explored types of motivation for smartphone dictionary use among Chinese university EFL learners. Twenty-two semi-structured interviews were conducted, followed by a confirmatory survey (N=577). Using a latent class analytical tool, Mplus, we identified from the survey a model with three user classes: Customisation, Learning and Utility. They respectively imply individuating use of dictionary features, authentic English language learning, and utilitarian purposes. Multinomial logistic regressions showed these tendencies: male users or non-key university students were more likely to fall into the Customisation class; high-proficiency learners or key university students, Learning; and female users or low-proficiency learners, Utility. The research offers insights into e-dictionary customisation and education in e-dictionary use.