We foster it here! Students in the lab work with real educational and psychological data. Depending on the project, this may include questionnaire data, classroom intervention data, workshop evaluations, writing/speaking products, reaction-time data, interview data, dyadic communication data, or longitudinal datasets. Students learn how to move from an educational question to a research design, from messy data to responsible analysis, and from statistical results to a story that matters for teachers, learners, and communities.

Kabir Lab welcomes students who are curious about how people learn, communicate, build confidence, manage anxiety, and grow through English and intercultural experiences. Our work sits at the intersection of English education, educational psychology, applied psycholinguistics, intercultural communication, and well-being science.

Students in the lab work with real educational and psychological data. Depending on the project, this may include questionnaire data, classroom intervention data, workshop evaluations, writing/speaking products, reaction-time data, interview data, dyadic communication data, or longitudinal datasets. Students learn how to move from an educational question to a research design, from messy data to responsible analysis, and from statistical results to a story that matters for teachers, learners, and communities.

Students can receive training in research design, literature review, questionnaire construction, psychometrics, qualitative coding, reproducible data cleaning, and statistical modeling. Current and future lab projects may involve multilevel modeling, structural equation modeling, longitudinal SEM, RI-CLPM, APIM/dyadic analysis, and mixed-methods approaches. Experimental projects may use online task platforms and, where feasible, methods such as eye-tracking, EEG, fNIRS, galvanic/skin conductance response, and experience sampling methods.

You do not need to arrive as a statistics expert. A good fit is someone who is willing to read carefully, ask honest questions, revise their ideas, learn from data, support classmates, and keep going when research becomes confusing. Students who enjoy both people and patterns — learners’ stories, classroom realities, measurement problems, and models — will likely feel at home here.

I especially welcome students who want to become careful, generous, and independent researchers! People who can treat participants with respect, work responsibly with data, communicate findings clearly, and connect research to better learning experiences in Japan and beyond.