In recent years, AI technologies have been developed to promote students' self-regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI-based (SRLbot) and rule-based AI chatbots (Nemobot) in a 3-week science learning experience with 74 Secondary 4 students in Hong Kong. The experimental group used SRLbot to maintain a regular study habit and facilitate their SRL, while the control group utilized rule-based AI chatbots. Results showed that SRLbot effectively enhanced students' science knowledge, behavioural engagement and motivation. Quantile regression analysis indicated that the number of interactions significantly predicted variations in SRL. Students appreciated the personalized recommendations and flexibility of SRLbot, which adjusted responses based on their specific learning and SRL scenarios. The ChatGPT-enhanced instructional design reduced learning anxiety and promoted learning performance, motivation and sustained learning habits. Students' feedback on learning challenges, psychological support and self-regulation behaviours provided insights into their progress and experience with this technology. SRLbot's adaptability and personalized approach distinguished it from rule-based chatbots. The findings offer valuable evidence for AI developers and educators to consider generative AI settings and chatbot design, facilitating greater success in online science learning. Copyright © 2024 The Authors.

This study designed and evaluated a pedagogical innovation which used Scratch coding to foster Grade 4 students to co-develop subject knowledge and computational thinking (CT) in English Language classrooms. A 280-minute teaching in four lessons was arranged for 205 students from ten selected Grade 4 classes in three primary schools at Hong Kong. The Scratch-based pedagogy “To Play and Learn, To Think and Navigate, To Code”–supplementary with four Scratch games and four Scratch activity worksheets–was trialed for engaging students in Scratch coding to explore, think about, apply and consolidate English Language building blocks for talking about locations and directions. The pre-post-test results provide statistically significant evidence that students can advance all three topic-specific knowledge points and all four target CT concepts after learning under the designed pedagogy. The questionnaire survey results reveal the impact of the designed pedagogy on students’ growing awareness of the two target CT practices, and their growing confidence in coding. The focus group interview results reveal students’ confirmation on their success in and satisfaction with the designed pedagogy for developing English Language knowledge and CT competency through coding. This study validates that the pedagogical innovation of learning through coding is potential to foster the co-development of subject knowledge and CT competency in Grade 4 English Language classrooms. Future directions of integrating coding activities into senior primary curriculum are discussed. Copyright © 2022 Asia Pacific Society for Computers in Education.

Background: Different instructional factors are related to students’ achievement in different cognitive domains. Most research studies on large-scale assessment focus on science achievement as an entire variable, without considering science achievement in different cognitive domains. Purpose: This study investigates the predictive effects of the frequency of teachers’ using practical work and clarity of instruction on students’ achievement in different cognitive domains. Sample: A regional representative sample of 3265 Hong Kong students who took part in Trends in International Mathematics and Science Study (TIMSS) 2019 was used in this study. Design and Method: In order to disentangle the interrelationships between science instructional factors, attitudes toward science and students’ achievement in different cognitive domains, we carried out structural equation modelling to explore the responses by 3265 Hong Kong students to TIMSS 2019 surveys. Results: Frequency of teachers’ use of practical work had a significant positive impact on students’ achievement in the domains of knowing, applying, and reasoning, while clarity of instruction had a significantly negative impact on students’ achievement in the domains of knowing and applying. Enjoyment of science mediates the relationship between the relationships between frequency of practical work and achievement in three cognitive domains. Conclusion: This informs how teachers use practical work to enhance students’ enjoyment of science, intrinsic motivation and self-concept, in order to improve their achievement in knowing, applying and reasoning science. Implications contribute to future research on how best to improve students’ achievement in all three cognitive domains are discussed. Copyright © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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).

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