Many Southeast Asian countries have been promoting the use of EMI in non-language subjects, including science. Content and Language Integrated Learning (CLIL) is a notion which promotes students’ integration of both content and language. This chapter explores the use of a content analysis technique, an epistemic network analysis to explore how classroom interaction facilitates CLIL. We draw on Lin (2012)‘s ‘rainbow diagram’ to analyse how two Hong Kong science teachers used and expanded communicative resources to promote CLIL. These resources are L1 and L2 every day, oral and academic languages, as well as multimodal representations. A coding scheme is developed based on the ‘rainbow diagram’ from Lin (2012). Afterwards, we illustrate an innovative discourse analysis technique, epistemic network analysis, to characterise the frequency of connections between the codes generated. By qualitatively comparing the epistemic networks between teachers and students in a science practical work setting, we propose that epistemic network analysis can be used to compare the practice of CLIL of experienced and non-experienced teachers, as well as before and after professional development programmes. The strengths and weaknesses of this innovative method are then discussed. Copyright © 2023 selection and editorial matter, Samantha M. Curle and Jack K. H. Pun; individual chapters, the contributors.

This study compares direct instruction to two constructivist approaches, namely experimentation and problem-based learning, in fifth-grade science learning in Hong Kong. Constructivist instructional approaches, contrary to direct instruction, stress on students' active role in constructing knowledge in learning. Experimentation and problem-based learning are constructivist approaches commonly adopted in science classes. Research has shown that experimentation enhances cognitive and affective learning outcomes, but mixed evidence has been found in similar comparisons between problem-based learning and direct instruction. We recruited 380 fifth-grade students, each of whom participated in a single science lesson that involved one of the three distinct instructional approaches. Results showed that students in the direct instruction group outperformed both the experimentation group and the problem-based learning group in immediate learning outcome as measured by a short test, while the three groups did not differ in learning interest. Immediate learning outcome and learning interest were weakly correlated only in the problem-based learning group. Our findings may be explained by students’ unaccustomedness to constructivist approaches arising from the unique cultural-educational environment in Hong Kong, where direct instruction is the norm and the curriculum prioritises memorisation and understanding of facts and concepts over discovery processes in learning. This inconsistency with the existing literature highlights the importance of considering cultural factors when evaluating the effectiveness of instructional approaches in primary school science education. Copyright © 2024 De La Salle University.

This mixed methods study explores EFL students’ experiences and perceptions as they learn to write a composition with ChatGPT’s support in a classroom instructional context. Students’ perceptions are explored in terms of their motivation to learn about ChatGPT, cognitive load and satisfaction with the learning process. In a workshop format, twenty-one Hong Kong secondary school students were introduced to ChatGPT, learned prompt engineering skills, and attempted a 500-word English language writing task with ChatGPT’s support. Data collected included a pre-workshop motivation questionnaire, think-aloud protocols during the writing task, and a post-workshop questionnaire on motivation, cognitive load, and satisfaction. Results revealed no significant difference in students’ motivation before and after the workshop, but mean motivation scores increased slightly. Students reported high cognitive load during the writing task, especially during prompt engineering. However, students expressed high satisfaction with the workshop overall. Findings indicate ChatGPT’s potential to engage EFL students in the writing classroom, but its use can impose heavy cognitive demands. To ensure that ChatGPT use supports EFL writing without overwhelming students, educators should consider an iterative design process for activities and instructional materials and carefully scaffolding instruction, especially for prompt engineering. 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.

The initiation of formal science education provides an opportunity to investigate how age-related language and reading skills respond to the challenge of science literacy (SL) performance. SL in early primary schools refers to the understanding and application of scientific core ideas and practices for informed decision-making. Studies revealed that high levels of singular reading or language skills correlate with better SL performance in school settings. However, it is essential to explore how nuanced words and textual reading skills relate to SL performance for early primary learners. One hundred ninety-three Hong Kong second graders were assessed on word reading, reading comprehension, vocabulary, nonverbal reasoning, and SL. The hierarchical regression model shows that word reading and reading comprehension are significant predictors of SL, controlling for nonverbal reasoning and vocabulary. Further, mediation analysis reveals that reading comprehension significantly mediates the effect of word reading on SL at grade 2, suggesting a shared reading-SL cognitive process. A tailored early elementary school literacy instruction is a promising way to enhance SL development among young learners. Copyright © 2024 Informa UK Limited, trading as Taylor & Francis Group.

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

This paper reports a design and implementation of a STEM enrichment programme infused with affective elements designed for Hong Kong students. Specifically, it features a design-thinking approach to develop solutions to a self-selected problem addressing the United Nations Sustainable Development Goals. Around 30 upper primary school (grades 5 to 6) and 20 lower secondary students (grades 7 to 10) enrolled in the study. Considering empathy as a core value of the design-thinking process and aligned with affective dimensions of thinking and learning, we investigate students' design-thinking development and STEM learning processes while highlighting empathy map as a pedagogical tool. We discuss the implications and insights of offering humanistic perspectives on STEM curricular design, especially for K-12 students. Our results showed that students at different age range were able to use empathy maps to devise designs effectively, despite their varying degrees of empathy. Furthermore, we conceptualize empathy maps as a pedagogical tool that creates physical boundaries in design thinking, making students' mental transitions across design stages more explicit. This study contributes to a better understanding of the educational potentials of design-thinking enhanced classrooms, with the results informing theoretical and practical advice on the integration of the empathy map in innovation-oriented projects. Copyright ©2023 Springer.

The Hong Kong Education Bureau's paper titled "Computational Thinking – Coding Education: Supplement to the Primary Curriculum" published in 2020 has been a crucial step towards encouraging CT and coding education in Primary 4 to Primary 6 in Hong Kong. With technology increasingly being utilized in various industries, it has become crucial for students to acquire knowledge and skills necessary to thrive in the digital era. Computational Thinking (CT) has been demonstrated as a method of problem-solving that has helped students become better problem solvers and fostered a deeper understanding of mathematical concepts. Therefore, incorporating CT into Mathematics Education (ME) has become a subject of much research in recent years, especially since systematic reviews have been carried out.In line with the Hong Kong Education Bureau (EDB)'s proposal, the Hong Kong Curriculum Development Council (CDC) has also emphasized the value of CT and coding instruction in preparing students for the digital era. Thus, the three-year study that has been conducted from January 2021 to May 2023 aims to examine the significance and impact of integrating CT into ME in senior primary education in Hong Kong.This study has concentrated on Hong Kong senior primary children, particularly those in Primary 6, and has employed a multi-phase approach. Initially, a comprehensive review of the current state of research on CT and ME has been conducted to inform the study design. Subsequently, data has been gathered from students, teachers, and schools using surveys and assessments. Statistical techniques have been applied to evaluate the collected data, focusing on establishing the relationship between CTE and ME, analyzing students' motivation to learn mathematics through CTE, and identifying the advantages of incorporating CTE into ME, including its impact on students' mathematical performance.The study uncovered several key findings concerning the integration of CT into ME in senior primary schools