The Kabir Lab develops and analyzes datasets that help explain how learners build confidence, regulate anxiety, communicate across cultures, and grow through English learning experiences.
Lab Licenses, Software, and Targeted Skills: Qualtrics, Gorilla, LIWC, MaxQDA, RStudio, JASP, EXKUMA (TBA)
Our goal is not only to complete individual projects, but to train students to think like researchers. Students learn how to review literature, design ethical studies, clean and document data, select appropriate models, interpret results responsibly, and communicate findings to both academic and educational audiences. We value careful work, curiosity, openness to revision, and research that can make learners, teachers, and communities a little more confident.
This line of work examines how learners’ beliefs about their own communicative abilities shape classroom behavior, willingness to communicate, writing/speaking confidence, and responses to feedback. Student projects have examined foreign language anxiety, fear of negative evaluation, writing self-efficacy, speaking confidence, peer feedback, AI-assisted rehearsal, and learner motivation.
We study intercultural communication as a relational process. Projects include virtual exchange, cultural intelligence, study abroad motivation, ALT/JTE collaboration, team teaching, and dyadic communication. Current and future student projects may use dyadic analysis, APIM, multilevel modeling, discourse coding, and longitudinal designs to understand how partners influence one another in learning and teaching contexts.
This research area focuses on how creative tasks, storytelling, design thinking, warm-up activities, and positive education tools can support engagement, confidence, and classroom climate. Students may work with intervention datasets, pre/post designs, qualitative reflections, creative products, and mixed-methods models to evaluate what kinds of activities help learners participate more fully.
In collaboration with experimental language researchers, the lab examines how learners connect words, images, meanings, and memory under different learning conditions. Projects may include reaction-time tasks, working-memory measures, vocabulary learning experiments, cross-situational word learning, speech production, and future use of eye-tracking, EEG, fNIRS, and physiological measures.
The lab also works with larger datasets on flourishing, well-being, social relationships, positive youth development, and developmental change. Students interested in this area may learn longitudinal SEM, RI-CLPM, multilevel modeling, measurement invariance, and other approaches for studying change over time.
Across projects, we connect educational practice with psychological theory, careful measurement, and statistical modeling.