This study examined the processes that contributed to students’ aspirations for STEM careers and unpacked the relationships between students’ self-concept in science and mathematics learning, perceived parental expectations, perceptions of STEM professionals, career outcome expectations and STEM career aspirations. Structural equation modelling was used to analyse quantitative survey data of 2,477 primary and secondary school students studying in seven Asian regions (Hong Kong, Malaysia, Mainland China, Indonesia, Korea, Taiwan, and Singapore). The results demonstrated that students’ self-concept, perceptions of STEM professionals, and their career outcome expectations all significantly and positively predicted their aspirations for STEM careers. However, this study failed to establish a direct relationship or positive correlation between perceived parental expectations and STEM career aspirations. Students’ self-concept negatively predicted their career outcome expectations related to seeking parental approval. While no significant positive effects of perceived parental expectations on career aspirations were found, an indirect effect of perceived parental expectations on STEM career aspirations via career outcome expectations was observed. Moreover, career outcome expectations mediated the relationships between students’ STEM career aspirations and their perceptions of STEM professionals more strongly than self-concept. The implications of these results for STEM education are discussed. Copyright © 2024 National Institute of Education, Singapore.

In this article, we use the family resemblance approach as a framework to contribute to the debate about the similarities and differences between the constituent disciplines of STEAM (science, technology, engineering, arts and mathematics) and to explore the implications for education. The family resemblance approach has been used in science education in various ways, for instance, in teacher education and undergraduate teaching and as an analytical tool for examining science curricula and assessments. The relevant sense of application of the family resemblance approach for our purposes in this article is that it is a framework that has the potential to differentiate the disciplines underpinning STEAM. We explore the utility of the family resemblance approach for clarifying what is meant by the nature of STEAM and, subsequently, we elaborate on some practical examples drawn from a project conducted in Hong Kong with Year 7 (12–13-year-old) students to illustrate how the use of the family resemblance approach can help articulate a contrast of nature of science and the arts in school activities. Copyright © 2024 Sibel Erduran and Kason Ka Ching Cheung.

Using an in-depth case study approach, this study explored the mathematics educational values held by two in-service teachers at the primary and secondary levels in Hong Kong through lesson observations and deep structured interviews. The findings revealed that the primary teacher emphasized fun, flexibility, critical thinking, and coherence, while the secondary teacher prioritized achievement, control, higher-order thinking, and progression. Using Seah and Bishop's five complementary pairs framework, the primary teacher aligned with an activist, relational, relevance, and accessibility perspective, contrasting sharply with the secondary teacher. This reflected a shift in values in response to students’ educational stages, revealing the challenges of balancing social expectations and nurturing future science, technology, engineering, and mathematics talent. We discussed the implications for local education reforms, including modernizing assessment methods and curricula, reshaping the social climate, and updating professional development to address these tensions. Copyright © 2024 The Author(s).

Entrepreneurial STEM, an interdisciplinary approach blending STEM and entrepreneurship education, has become a new trend for cross-subject collaboration that aims to instill an entrepreneurial mindset in students, enabling them to apply their STEM knowledge across various contexts. In this study, we investigate the challenges and corresponding strategies of head science teachers who initiated an entrepreneurial STEM (Science, Technology, Engineering, Mathematics) curriculum in their schools. Grounded in social exchange theory, we explore how head science teachers with entrepreneurial attributes navigated asymmetrical power distribution presented by principals and other subject heads. This collective case study focuses on three schools in Hong Kong that successfully implemented a renowned entrepreneurial STEM curriculum. The findings reveal a common trajectory among head science teachers: initial enthusiastic promotion of the curriculum while meeting resistance; a downscaling and team reform struggles; and a handover and scale-up. This study illuminates the intricate process of balancing power dynamics and stakeholder perceptions through reciprocal negotiation, which were in turn shaped by societal norms. Copyright © 2024 The Author(s), under exclusive licence to Springer Nature B.V.

This empirical study aims to enhance group cohesion, a critical factor for collaborative learning success and immersion in inquiry-based coding activities in a metaverse platform – Learningverse. The study involved two classes of Grade 5 students engaging in a two-hour coding activity, which required them to assemble robotics using VEXcode GO and a Code Base in groups. An inquiry-based learning consisting of ‘engage, explore, create, explain, evaluate’ was adopted in the instructional design. Class A (23 students) as the control group conducted the activity in a traditional classroom setting; while, Class B (28 students) conducted the activity across the metaverse platform and physical classroom settings in an immersive, seamless learning environment. Data collection involved log data in the metaverse, questionnaire on immersion, pre-and post-domain and interviews. The findings show that students in the experimental group showed a higher degree of group cohesion and immersion than those in the control group; and students in the experimental group outperformed those in the control group in conceptual understanding. The study sheds light on the potential of the metaverse in enhancing group cohesion and immersion which, in turn, helps improve group learning performance in an immersive seamless learning environment. Copyright © 2024 The Education University of Hong Kong.

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