Imagined intergroup contact facilitates intercultural communication for college students on academic exchange programs

Imagined intergroup contact (Crisp & Turner, 2009) is a new cognitive intervention designed to improve intergroup relations. In two studies, we examined whether it could also facilitate intercultural communication among international students and host country natives engaged in a college exchange program. In Study 1, international students who had recently arrived in Italy and participated in an imagined contact session displayed increased self-disclosure toward, and improved evaluation of, host country natives. In Study 2, Italian students mentally simulated positive contact with an unknown native from the host country prior to leaving for the exchange. Results from an online questionnaire administered on their return (on average, more than 7 months after the imagery task) revealed that participants who imagined contact reported spending more time with natives during the stay and enhanced outgroup evaluation, via reduced intergroup anxiety. Implications for enhancing the quality and effectiveness of college student exchange programs are discussed.

Teacher use of personal narratives in the Japanese university english language classroom

While storytelling in conversation has been extensively investigated, much less is known about storytelling in the English language classroom, particularly teachers telling their personal experience stories, termed teacher personal narratives in this study. Teacher personal narratives, a combination of the ancient art of human storytelling and the current practices of teaching, offer an innovative approach to language teaching and learning. This thesis examines teacher personal narrative use in Japanese university English language classrooms and is of relevance to both practicing classroom teachers and teacher educators because it explores the role, significance, and effectiveness of personal stories told by teachers. The pedagogical implications which the findings may have for language teaching and learning as well as for teacher education programs are also discussed. Four research questions were posed: 1. What are the characteristics of teacher personal narratives? 2. When, how, and why do language teachers use personal narratives in the classroom? 3. What is the reaction of learners to teacher personal narratives? 4. How do teacher personal narratives provide opportunities for student learning? A mixed methods approach using the tradition of multiple case studies provided an in-depth exploration of the personal narratives of four teachers. Data collection consisted of classroom observations and audio recordings, teacher and student semi-structured interviews, student diaries, and Japan-wide teacher questionnaires. Ninety-seven teacher personal narratives were analyzed for their structural and linguistic features. The findings showed that the narrative elements of orientation, complication, and evaluation are almost always present in these stories, and that discourse and tense markers may aid in student noticing of the input which can lead to eventual student output. The data also demonstrated that reasons for telling narratives mainly fall into two categories: affectiveoriented and pedagogical-oriented purposes. This study has shown that there are significant differences between conversational storytelling and educational storytelling.

Monetary models of exchange rates and sweep programs

Numerous studies find that monetary models of exchange rates cannot beat a random walk model. Such a finding, however, is not surprising given that such models are built upon money demand functions and traditional money demand functions appear to have broken down in many developed countries. In this article, we investigate whether using a more stable underlying money demand function results in improvements in forecasts of monetary models of exchange rates. More specifically, we use a sweep-adjusted measure of US monetary aggregate M1 which has been shown to have a more stable money demand function than the official M1 measure. The results suggest that the monetary models of exchange rates contain information about future movements of exchange rates, but the success of such models depends on the stability of money demand functions and the specifications of the models.

Monetary models of exchange rates and sweep programs

Numerous studies find that monetary models of exchange rates cannot beat a random walk model. Such a finding, however, is not surprising given that such models are built upon money demand functions and traditional money demand functions appear to have broken down in many developed countries. In this paper we investigate whether using a more stable underlying money demand function results in improvements in forecasts of monetary models of exchange rates. More specifically, we use a sweepadjusted measure of US monetary aggregate M1 which has been shown to have a more stable money demand function than the official M1 measure. The results suggest that the monetary models of exchange rates contain information about future movements of exchange rates but the success of such models depends on the stability of money demand functions and the specifications of the models.