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This study explores how recent Korean immigrant students experience learning social studies and how their unique social, cultural, and educational backgrounds as new immigrants shape their experiences in American schools. Based on survey and in-depth interviews with 43 Korean immigrant students in two urban and three suburban/rural areas, this mixed methods study examines Korean immigrant youths’ perceptions about the nature of history and social studies as well as their experiences of learning social studies in their everyday classroom contexts. Our data analysis demonstrates that Korean immigrant students face varying difficulties in constructing meaning in US history and engaging themselves in social studies learning, which results in a negative learning experience and subsequent disinterest in social studies. Researchers identified three major challenges that Korean immigrant youths experience in their social studies classrooms: (1) Lack of English proficiency, background knowledge, and American patriotism, (2) White, American-centered perspectives and marginalization of their country of origin, and (3) Teachers’ lack of care and disengaging pedagogies. The findings of this study provide implications for creating more meaningful and culturally relevant social studies learning for immigrant students.

A garment technical drawing system and its database construction methodology is introduced in this paper. The system consists of an application program and a modulized database system. The advantage of this system is that it is possible to construct a garment's partial technical drawing easily using this database system, and it enables the combination of any part of drawing stored in the database.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.