In multicultural education, empathy has been regarded as an essential teacher disposition that enables teachers to better understand culturally and linguistically diverse (CLD) students through perspective-taking. However, less is known about the mechanism that underlies how empathy fosters teachers’ competence in supporting CLD students, i.e., their multicultural teaching competence. This study fills the research gap by investigating multicultural beliefs as a potential mediator between teacher empathy (operationalized via perspective-taking) and multicultural teaching competence (as indicated by knowledge, skills, and relationship-building abilities). A total of 445 Chinese preschool and kindergarten teachers in Hong Kong (188 pre-service and 257 in-service teachers) completed a self-report questionnaire assessing teacher empathy, multicultural beliefs, and multicultural teaching competence. Mediation analyses revealed that teacher empathy was related to higher support for multicultural beliefs, which in turn predicted better multicultural skills, knowledge, and relationship-building abilities. The multi-group analysis further indicated equivalent mediation paths for both pre-and in-service teachers. Extending past research underscoring empathy as an essential teacher disposition for multicultural teaching competence, the present study showed that the crucial role of empathy in transforming teachers’ belief in favor of multiculturalism helps foster teachers’ multicultural teaching competence. A practical implication of the present study calls for including perspective-taking and critical examination of teacher beliefs as key elements in teacher education programs that are aimed at facilitating early childhood teachers’ multicultural teaching competence. Copyright © 2024 The Author(s), under exclusive licence to Springer Nature B.V.

This study utilizes the 2015 data from the Hong Kong sample of the Program for International Student Assessment to examine the relative importance of various factors on the science learning performance of Hong Kong students. Using hierarchical linear modeling (HLM), we examined the effect of students’ affective characteristics, involvement, and perceptions of science by parents and school environment on science achievement in Hong Kong. The results of HLM demonstrated that school characteristics explain 33% variance in science achievement, which indicates that school is a critical predicting factor in identifying science achievement. The findings highlighted that identifying as male, having high socioeconomic status (at the student and school levels), high self-efficacy, low test anxiety, less parental support, positive view of science by parents, more school resources, and less teacher autonomy positively influence the science achievement of students. In the final model, school-level predictors, such as disciplinary climate in science classes and teacher-directed science instruction, explained 58% of variance at the school level in positive directions. Lastly, the study discussed the implications of achievement gaps between gender and socioeconomic status and between parents and school influence. Copyright © 2024 Education Research Institute, Seoul National University.

Background: The concept of science, technology, engineering, and mathematics (STEM) capital can serve as a framework for understanding how various resources contribute to aspiration formation in STEM fields. However, to date, it remains unclear what factors should be included in STEM capital and how they may help explain why students do or do not aspire to STEM careers. Purpose: This study aimed to validate the instruments and explore the predictive effect of various factors, including STEM capital and other non-STEM specific cultural capital factors, on students’ STEM aspirations while comparing these variables among primary, junior secondary, and senior secondary levels. Sample: A stratified sample of students (N = 3,991) from the upper-primary to senior-secondary level in Hong Kong participated in the study. Design and methods: An online survey investigation was conducted for data collection. Exploratory and confirmatory factor analyses were performed to validate the instruments before ANOVA, correlation analysis, and regression analysis were performed. Results: The elementary students had significantly greater scores on the STEM capital variables than did the students at the junior and senior secondary levels. Gender, age, parental school involvement and expectations, informal STEM participation, positive views of professionals, and self-concept in mathematics positively predicted STEM aspirations, while having a parent/guardian with a STEM career negatively predicted students’ aspirations. In addition, the results showed that having STEM books at home and self-concept in information technology were additional predictors at some educational levels. The explored factors can explain approximately 30% of the variance in students’ STEM aspirations. Conclusion: Senior students’ STEM capital factors exhibit lower levels compared to their younger peers. The developed, adapted, and translated instruments are valid for measuring the factors composing STEM capital, where some

English as a foreign language (EFL) education has become increasingly ubiquitous in Eastern Asian early childhood education (ECE) settings, but the studies on this phenomenon have not been thoroughly reviewed. This scoping review investigates the scope and findings of the current literature regarding this under-researched phenomenon. Through a five-step protocol, 17 empirical studies published during 2012–2022 are included. Findings indicate that: (1) there are four major research areas: education policy, education technology, teacher and teacher education, and curriculum and pedagogy; (2) Hong Kong receives the most research attention; (3) teachers’ knowledge and beliefs, implementing early EFL education, and effects of interventions constitute three prominent research themes. This review also identified research gaps and highlighted the need for more quantitative research on early EFL education in other parts of Asia, the planning and implementation of EFL policies in micro-level contexts, and in-service educators’ beliefs and practises. Copyright © 2024 The Author(s), under exclusive licence to Springer Nature B.V.

This article reports on a study exploring primary students’ after-class social interactions in English vocabulary acquisition using a mobile learner-generated-content (m-LGC) tool. A total number of 29 grade 4 students from an elementary school in Hong Kong were involved. A case study approach was adopted. Data collection included log data on the m-LGC tool and semi-structured interviews. Data analysis included content analysis, visualisation using Gephi, and thematic analysis. The results show two types of students’ social interactions in a m-LGC learning environment. The interview results indicate that students held different perceptions of social interactions using the m-LGC tool. The implications are discussed. Copyright © 2022 Yin Yang, Yanjie Song.

A techno-reflective narrative interview (TRNI) aims to elicit learners' investment in the language practices in a course — their stories, participation, and ways of participation (Zhang, 2023). This presentation elaborates on the notion of TRNI and how it can be adopted to investigate EFL and ESL learners' L2 investment in a given course. Drawing from Darvin and Norton's (2015) investment model, two examples are provided as two cases: 1) how a Mainland Chinese EFL learner invested in her EFL learner, gender, and role identities (Zhang, forthcoming), and 2) how a Hong Kong undergraduate ESL student invested in her Hong Kong English, multilingual, and Hongkonger identities (Zhang & Gonzales, forthcoming).The study highlights how TRNI helps to provide a reflective account of L2 learners' investing trajectories and empowers them by amplifying their own voices and self-positioning. Overall, the findings reveal the 1) concomitant effects of participants' English learning experiences and life histories on their investing patterns; 2) the interconnectedness of identities, capital, and ideologies; and 3) their combined effects in shaping Chinese English learners' investment in two courses. It provides specific guidelines for lecturers to adapt TRNI in their own courses and pedagogical implications for L2 practitioners and universities. Copyright © 2023 HAAL.

During the COVID-19 pandemic, researchers faced challenges conducting data collection. However, emerging communication technologies, such as web-conferencing platforms, provided an alternative mode of data collection. Among these platforms, Zoom stands out for its functional affordances and unique features that support data collection methods, including screen-capturing, digital photography, drawing, polling, and artifact-based interviews, which attempt to reveal a child's viewpoint and ability. In this article, we explore the feasibility of using Zoom to conduct educational research by investigating the mathematical learning experience among 26 primary 1 and 2 students in Hong Kong on two topics—understanding time and addition and subtraction. Five mathematics teachers were recruited to participate in 2-month online workshops with assessments among three groups of students to understand the suitability for data collection. Based on teachers’ observations and students’ responses, our findings suggest that Zoom is a viable and effective tool for qualitative data collection. It offers a cost-effective method for researchers and educators to examine students’ mathematical performance in an online environment. We also investigate students’ perceptions of online assessment strategies, perceived usefulness of various Zoom functions, and explore the benefits and challenges teachers and students perceived throughout mathematical education using Zoom. However, several technical difficulties were encountered, such as the digital literacy gap and privacy concerns. Therefore, improving students’ digital literacy for remote learning and triangulation is important for online mathematical data collection and assessments. Copyright © 2023 The Author(s).