Measuring Self-Identity Change Related to English Language Learning and Bilingual Education among Chinese-Speaking College Students: An Exploratory Study

The purpose of this study is two-fold. First, we explored the psychometric properties of a self-identity change instrument that was previously developed for English learning college students in China. Second, using this instrument, we examined participants’ self-identity change related to gender, major, and years of English learning. A total of 273 undergraduate students from two adjacent geographic locations (Taiwan and mainland China) participated in a paper-based survey. Exploratory factor analysis (EFA) revealed five sub-scales that were mainly consistent with the original version. However, the EFA also suggested exclusion of one item, multi-dimensionality, and room for improvement of this instrument regarding item reliability. Inferential statistics revealed that (a) students in Taiwan exhibited a higher self-confidence change as compared to their mainland peers; (b) English and bilingual science majors underwent higher change in additive and subtractive bilingualism, followed by art and humanity majors; (c) for bilingual majors, those who started learning English prior to grade 3 were better able to switch between two identities than those who started in middle school and beyond; and (d) gender is not a significant predictor of identity change. Discussion was contextualized within educational policy and practice regarding English learning and bilingual education in these two locations

Focal Spot, Winter 1983/84

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Dysglycemia and arrhythmias

Disorders in glucose metabolism can be divided into three separate but interrelated domains, namely hyperglycemia, hypoglycemia, and glycemic variability. Intensive glycemic control in patients with diabetes might increase the risk of hypoglycemic incidents and glucose fluctuations. These three dysglycemic states occur not only amongst patients with diabetes, but are frequently present in other clinical settings, such as during critically ill. A growing body of evidence has focused on the relationships between these dysglycemic domains with cardiac arrhythmias, including supraventricular arrhythmias (primarily atrial fibrillation), ventricular arrhythmias (malignant ventricular arrhythmias and QT interval prolongation), and bradyarrhythmias (bradycardia and heart block). Different mechanisms by which these dysglycemic states might provoke cardiac arr-hythmias have been identified in experimental studies. A customized glycemic control strategy to minimize the risk of hyperglycemia, hypoglycemia and glucose variability is of the utmost importance in order to mitigate the risk of cardiac arrhythmias