In this editorial, we discuss the affordances and challenges of emerging technologies in designing and implementing STEM education as a planned theme of this special issue. We view that emerging technologies, such as artificial intelligence (AI) and virtual reality, have a double-edged sword effect on STEM learning and teaching. Exploring the effect will help provide a balanced view that simultaneously recognizes the benefits and pitfalls of the technologies and avoids overstating either one. This themed issue highlights how immersive and AI-driven learning environments advance and transform STEM education in different contexts. It consists of this editorial, three research reviews, and two empirical research articles contributed by scholars from five different regions, including Australia, Hong Kong, mainland China, Singapore, and the USA. They discussed the educational, social, and technological effects of emerging technologies. Each article discusses to various extent about the current research status, what and how the technologies can afford, and what concerns the technologies may bring to STEM education. © The Author(s), 2023.

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

While increasing the equitable participation in computer science (CS) education at schools, most existing studies focus on the acquisition of computational skills and measurements of cognitive skills as the learning outcome. The potential benefits of developing psychosocial attributes in the process of computational learning are of less concern, particularly for the underprivileged youth with Special Educational Needs (SEN) and from low-income family. To improve the inequitable learning in school, the "Project C program" has been developed to integrate computational participation and mentoring scheme through social-cognitive approach for underprivileged youth. The aim of this research is to investigate the psychosocial impact of the program, and examine the interrelation between hope, sense of community, and perceived social support in computational learning. The Project C program was piloted in a special school in Hong Kong under the category of "Schools for Children with Moderate Intellectual Disability," targeting 8th grade students (n = 51) with SEN (i.e., mild autism) living in low-income residential districts, and a self-reported pre/post questionnaire was administered to measure the psychosocial changes before and after the intervention. The findings reveal a statistically significant change in hope, sense of community, and perceived social support through the program, and the relation between sense of community and hope was fully mediated by the perceived social support. Based on the findings, theoretical and practical implications of social-cognitive approach to computational learning are discussed. Copyright © 2023 Springer.

This study investigated the development of computational thinking (CT) in young children within the specific context of Hong Kong. The researchers utilized an unplugged digital arts activity to explore the CT knowledge exhibited by children and document their developmental trajectories. A sample of 23 children aged 3 to 6 years participated in an animation art workshop conducted in a Hong Kong kindergarten. The video data were recorded and analyzed in terms of content. Drawing on a three-dimensional framework combining powerful ideas for teaching coding, the observations and field notes revealed that children’s CT knowledge construction aligned with the CT conceptual framework. Notably, older children demonstrated more advanced competences and more complex cognitive structures in terms of the design process, representation, algorithms, modularity, sequences, connecting, choices of conduct, and utilization of hardware/software. These findings emphasize the importance of designing age-appropriate curricula that foster children’s CT skills through the animation art. Copyright © 2023 Taylor & Francis.

We presented a design-based study within the context of a four-session Scratch programming activity among 23 fourth-grade students in Hong Kong. Inspired by the computational thinking (CT) strategies and the 5E instructional model, we investigated students’ mathematical learning of fractions in a Scratch (block-based programming) environment. Students developed CT concepts, practices, and perspectives by building a “fraction magic calculator” in groups. This study analyzed the lesson design, students’ drawings, interviews, and work expressing their mathematical understanding of fractions in Scratch applications. The learning tasks were designed to support the students’ fraction learning and utilized computational abstractions in the form of variables, functions, and iterations to formulate mathematical models in a programming context. Students’ artifacts and feedback showed they were interested in learning fractions in a programming learning context, contributing to exercising and improving their fraction concepts and CT. Ultimately, we emphasized the benefits of CT integrated into mathematics education, promoting students’ understanding of fraction concepts, a set of CT abilities (concepts, practices, perspectives), and learning motivation. Moreover, we suggested a set of non-cognitive skills (e.g., socializing, expressing) to enrich the CT perspectives in the framework and show the importance of developing coding communities to co-create digital artifacts among learners. Overall, we highlighted that mathematics teachers should apply and create learning tasks that promote computational thinking to forge mathematical ideas and thinking. Copyright © 2023 The Author(s).

The proliferation of screen-free programmable robotics allows teachers to implement age-appropriate integrated activities that can promote child learning and development. However, very scarce is known about the challenges of using programmable robots as a tool to empower children in minority communities. This mixed-methods case study examined a Free Quality Kindergarten situated in a low-income public housing estate in Hong Kong to explore the affordances and challenges of robot programming (RP) in early childhood education (ECE). Both quantitative and qualitative data were generated through videotaped observations, child assessments and teacher interviews to journey with the teaching team as they managed to implement the newly introduced RP curriculum. Child assessment evidence revealed that there was a statistically significant improvement in CT scores over 6 weeks of RP activities, while the pretest–posttest change of child self-regulation scores was nonsignificant. Video analysis results further revealed that children's interaction level with the robot kit significantly predicted the change of self-regulation over time. Qualitative results are presented to explicate the micro, meso and macro conditions that constrain the implementation of RP curriculum, including the following: (a) teachers' limited TPACK in RP education, (b) a disconnect between the RP curriculum and the school-based curriculum, (c) limited resources and (d) the Confucian tradition and cultural barriers. These illustrate the intricacies involved in the implementation of RP education to empower marginalized children in under-resourced ECE settings. This study will help bring systemic change to the ECE field by uncovering ecological difficulties in integrating new technologies to promote inclusiveness and sustainability for the future. Copyright © 2022 British Educational Research Association.

The ability to formulate problems is an important part of computational thinking (CT) development for nurturing creative problem solvers. However, problem formulation is inadequately addressed in primary school education. This study aimed to investigate the problem formulation processes of primary school students. Students from eight winning teams in a primary school CT competition in Hong Kong participated in the study. Focus group interviews were conducted with the students and teachers separately. Data analysis revealed that the students’ problem formulation processes could be divided into three stages, namely, the Find, Investigate, and Define stages. The Investigate stage was an essential stage connecting the Find and Define stages. Interviews showed that support from teachers and parents was necessary for students to gain a positive experience of formulating problems in primary school context. Findings suggest that CT curriculum should be designed to allocate sufficient project time and learning space for students to develop their problem formulation ability. Problem formulation abilities are critical in the development of students’ creativity in computational thinking. Copyright © 2022 The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

In this paper, we explore the challenges experienced by a group of Primary 5 to 6 (age 12-14) students as they engaged in a series of problem-solving tasks through block-based programming. The challenges were analysed according to a taxonomy focusing on the presence of computational thinking (CT) elements in mathematics contexts: preparing problems, programming, create computational abstractions, as well as troubleshooting and debugging. Our results suggested that the challenges experienced by students were compounded by both having to learn the CT-based environment as well as to apply mathematical concepts and problem solving in that environment. Possible explanations for the observed challenges stemming from differences between CT and mathematical thinking are discussed in detail, along with suggestions towards improving the effectiveness of integrating CT into mathematics learning. This study provides evidence-based directions towards enriching mathematics education with computation. Copyright ©2021 SAGE Publications.

The Education Bureau (EDB) of Hong Kong has published an official document related to computational thinking (CT) and coding education in 2020, named as the “Computational Thinking - Coding Education: Supplement to the Primary Curriculum”, to facilitate teaching and learning of computational thinking and coding education in local senior primary schools. At the same time, the Curriculum Development Council (CDC) of Hong Kong has also encouraged and recommended schools to promote a school-based CT education, to meet the needs of 21st century learners. To examine the effect that integrating computational thinking into mathematics education in senior primary education, a 3-year research will be conducted from January, 2021 to December, 2023, to demonstrate the importance of the concepts of integrated teaching which may change teachers’ views from teaching computational thinking to programming independently, to considering teaching computational thinking as applicable to any other fields, especially in mathematics education. In addition, the study aims at helping computational thinking educator to understand what computational thinking is, how to teach computational thinking in mathematics education as an integrated subject, and to develop computational thinking educator the essential skills and pedagogical knowledge in teaching computational thinking activities. Copyright © 2021 Global Chinese Conference on Computers in Education.

Educators and policy makers have increasingly recognized the importance of computational thinking (CT). Despite the growing body of CT literature, how to cultivate CT is still underexplored and undertheorized in early childhood education. Informed by Piaget’s Theory of Cognitive Development, this exploratory study was conducted with a focus on three CT skills: pattern recognition, sequencing, and algorithm design. The framework for the study was developed in two stages. First, we designed two sets of unplugged activities (relying on tangible materials), aiming to (1) provide students with more concrete experiences of CT and (2) equip them with the necessary vocabularies/instructions for the subsequent plugged activity (with a digital device). The theoretical foundation for such an unplugged and plugged design comprised Piaget’s Theory of Cognitive Development and Asher’s Total Physical Response. In the second stage, we offered our CT course in a kindergarten in Hong Kong, involving six teacher participants and a total of 11 students from K1 to K3 (aged 3 to 6). After 10 h of CT training, almost all students demonstrated their mastery of pattern recognition and sequencing. However, the K1 students could only partially complete the tasks of algorithm design while the others generally reached the target level of achievement. Strengthening preschoolers’ training on CT language and differentiated instruction are some possible strategies to improve the CT instructions. Copyright © 2019 De La Salle University.