Purpose Among Youth From Low-Income Backgrounds: A Mixed Methods Investigation

Theoretical and empirical research lead to conflicting perspectives on whether youth from low-income backgrounds are likely to have access to lives of purpose. To explore this issue, this study used data collected during the 2016–2017 academic year from a sample of Southern California youth. Findings suggest (a) youth from low-income communities are as likely as youth from middle-income communities to report leading lives of purpose; (b) purpose among low-income youth is associated with many of the same indicators of positive development as it is among middle-income youth; and (c) youth from low-income backgrounds encounter personal hardships that, in the presence of familial support and other developmental assets, can inspire purpose. Implications for purpose-fostering interventions among low-income youth are discussed.     

The key factors affecting students’ individual interest in school science lessons

Individual interest in school science lessons can be defined as a relatively stable and enduring personal emotion comprising affective and behavioural reactions to events in the regular science lessons at school. Little research has compared the importance of different factors affecting students’ individual interest in school science lessons. The present study aimed to address this gap, using a mixed methods design. Qualitative interview data were collected from 60 Hong Kong junior secondary school students, who were asked to describe the nature of their interest in science lessons and the factors to which they attribute this. Teacher interviews, parent interviews, and classroom observations were conducted to triangulate student interview data. Five factors affecting students’ individual interest in school science lessons were identified: situational influences in science lessons, individual interest in science, science self-concept, grade level, and gender. Quantitative data were then collected from 591 students using a questionnaire. Structural equation modelling was applied to test a hypothesised model, which provided an acceptable fit to the student data. The strongest factor affecting students’ individual interest in school science lessons was science self-concept, followed by individual interest in science and situational influences in science lessons. Grade level and gender were found to be nonsignificant factors. These findings suggest that teachers should pay special attention to the association between academic self-concept and interest if they want to motivate students to learn science at school.     

Science teachers' beliefs about curriculum design

Teacher beliefs about curriculum design affect the quality of science education in schools, but science researchers know little about the interrelation of beliefs about alternative curriculum designs. This article describes a quantitative study of secondary science teachers' beliefs about curriculum design. A 33-item Science Curriculum Orientation Inventory (SCOI) was developed to measure five distinct orientations to curriculum: academic, cognitive processes, societycentred, humanistic, and technological. Data were collected from 810 integrated science, chemistry, physics, and biology teachers in Hong Kong. A confirmatory factor analysis of teacher responses to the SCOI indicated that science teachers' beliefs about curriculum design had a hierarchical structure; the five distinct curriculum orientations were positively correlated, forming a second-order curriculum, meta-orientation. Physics teachers were less society-oriented than biology, integrated science and chemistry teachers, and integrated science teachers were more humanistic than physics teachers. Although science teachers' beliefs about any of the five alternative curriculum designs did not vary with their teaching experience, the difference between beliefs about the cognitive processes orientation and the humanistic orientation increased when teachers had gained more teaching experience. Implications of these findings are discussed.     

Solving ill-structured problems in asynchronous online discussions: built-in scaffolds vs. no scaffolds

Solving ill-structured problems is regarded as an important learning outcome in education as it allows learners to apply theories learnt into real practice. An asynchronous online discussion, with extended time for reflection, is an appropriate learning environment to engage learners in solving ill-structured problems. However, scaffolds may be needed to support learners in the online discussions. This study explores the effect of online scaffolds in supporting a group of graduate students' ill-structured problem-solving processes in asynchronous online discussions. The results of this study showed that the use of the online scaffolds did not lead to a significant difference in the number of ill-structured problem-solving processes. Further analysis revealed that wrong selection of message labels and under-usage of sentence openers affected the results of this study. Improvements for online scaffolds include having more precise message labels and sentence openers based on Socratic questioning approach.     

Factors related to resilience of academically gifted students in the chinese cultural and educational environment

This study examined variables in three domains (personal, parent support, and peer support) for their relationships with the resilience of academically gifted students in the Chinese cultural and educational environment. The participants were 484 academically gifted students in two highly competitive secondary schools (so‐called “key” schools) in a metropolitan city in southern China. The constructs measured in the personal domain were resilience, hope, creativity, and curiosity. The constructs measured in the domain of parent support were parent trust, parent communication, and parent alienation. The constructs measured in the peer support domain were peer trust, peer communication, and peer alienation. Three nested regression models showed that the personal constructs (hope, creativity, and curiosity) were all related to the resilience of the academically gifted students. Parent support variables did not exhibit predictive effects over and above that of the personal constructs, but peer support variables did show additional predictive effects over and beyond personal variables and parent support variables. Explanations and implications were discussed for the findings, and some limitations of the study were also discussed.     

Factors affecting the state anxiety level of higher education students in Macau: the impact of trait anxiety and self‐esteem

The aim of this study is to find out the levels of anxiety of 589 day‐ and night‐class students in higher education in Macau two weeks before the final examination period. The Chinese version of the 40‐item Spielberger’s State‐Trait Anxiety Inventory (Spielberger, Gorsuch & Lusherier, 1970 Spielberger, C. D., Gorsuch, R. and Lusherier, R. 1970. STAI manual for the state trait anxiety inventory, CA: Consulting Psychologist Press.  [Google Scholar]) was applied in this study. The two anxiety scales are nicely constructed into several logical and explainable factors. In addition, the Chinese version of Rosenberg’s self‐esteem scale (Rosenberg, 1965 Rosenberg, M. 1965. Society and the adolescent self‐image, Princeton, NJ: Princeton University Press. [Crossref] [Google Scholar]) was applied to find out the relationship between students’ self‐esteem and their trait and state anxieties. Generally speaking, night‐class students, who had full‐time jobs during the day, had significantly higher levels of anxiety than day class students, who were either unemployed or engaged in part‐time employment. Furthermore, based on the results of the path analysis, students’ general anxiety levels might be affected by their general state of anxiety and their self‐esteem. It is hoped that through this study, the educational context of higher education might be better understood.     

Media Education Across Four Asian Societies: Issues and Themes

International Review of Education - This paper undertakes a comparative review of the development and implementation of media education in four Asian societies. The comparison focuses on the...     

Learning User Similarity and Rating Style for Collaborative Recommendation

Information filtering is an area getting more important as we have long been flooded with too much information, where product brokering in e-commerce is a typical example. Systems which can provide personalized product recommendations to their users (often called recommender systems) have gained a lot of interest in recent years. Collaborative filtering is one of the commonly used approaches which normally requires a definition of user similarity measure. In the literature, researchers have proposed different choices for the similarity measure using different approaches, and yet there is no guarantee for optimality. In this paper, we propose the use of machine learning techniques to learn the optimal user similarity measure as well as user rating styles for enhancing recommendation acurracy. Based on a criterion function measuring the overall prediction error, several ratings transformation functions for modeling rating styles together with their learning algorithms are derived. With the help of the formulation and the optimization framework, subjective components in user ratings are removed so that the transformed ratings can then be compared. We have evaluated our proposed methods using the EachMovie dataset and succeeded in obtaining significant improvement in recommendation accuracy when compared with the standard correlation-based algorithm.