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关键词： COVID-19   Emergency remote teaching   Instructors’ experience   Online education   Survey study  

摘要： In May 2020, about 2 months after countless institutions across the world resorted to moving all their courses online in response to the COVID-19 pandemic, we conducted a survey to evaluate the impact of this transition on a group of computer science students. That first survey highlighted mostly negative effects, with students struggling to perform many class-related activities. About a year later, after a full year of remote teaching, we wanted to see if and how the students’ sentiment had changed. To assess students’ perceptions of remote teaching, we conducted a new survey composed of 41 multiple choice, Likert scale and open-ended questions. Additionally, we interviewed instructors of computer science courses, to learn about their experience and how they adapted to the new teaching modality. 137 students and 10 instructors shared their feedback regarding their positive and negative experiences in the new learning format. Our results show that the students’ experience improved significantly, to the point that many of them expressed interest in continuing learning online, at least partially, but some populations (e.g., early years students) may still be at a disadvantage in this learning format. At the same time, the instructors manifested concerns that this may not produce the best learning outcomes for the students. The results and considerations included in this report may benefit the conversation on how to conduct computer science higher education in a post-pandemic world. © The Author(s) 2025.

关键词： Quantum Technology   Physics   Engineering   Computer Science   Interdisciplinary   Workforce Development   Industry  

摘要： In this article, we investigate a growing trend in the worldwide Quantum Technology (QT) education landscape, that of the development of master's programs, intended to provide graduates with the knowledge and skills to take a job in the quantum industry, while serving a much shorter timeline than a doctoral degree. Through a global survey, we identified 86 master's programs, with substantial growth since 2021. Over time master's have become increasingly interdisciplinary, organised by multiple faculties or through joint degree programs, and offer more hands-on experiences such as internships in companies. Information from program organisers and websites suggests that the intended career destinations of their graduates are a diverse range of industries, and therefore master's programs may be a boon to the industrialisation of quantum technologies. Finally, we identify a range of national efforts to grow the quantum workforce of many countries, "quantum program enhancements", which augment the content of existing study programs with quantum content. This may further contribute to the growth and viability of master's programs as a route to the quantum industry.

关键词： Artificial neural network   Computer science   Mechanical properties prediction   Tricalcium phosphate  

摘要： Tricalcium phosphate (TCP) bioceramics have emerged as a promising option to meet the specific requirements associated with athlete bone fractures. Advanced computational modeling techniques, such as artificial neural networks (ANNs), have been leveraged to optimize the formulation, structural properties, and implantation strategies of TCP-based biomaterials. This personalized approach enables the tailoring of TCP implants and scaffolds to match the specific biomechanical and biological requirements of individual athletes, maximizing the potential for successful bone regeneration and a timely return to athletic competition. The strategic application of TCP-based biomaterials, combined with personalized computational modeling, holds great promise in revolutionizing the management of athlete bone fractures. This article investigates the use of an ANN to understand the complex relationships between various parameters, such as porosity and bone growth, and their effects on the biodegradation rate, compressive strength, and hardness of TCP-based bioceramics. The accuracy of the neural network's predictions was validated using linear regression analysis, confirming its applicability in guiding the design and optimization of these biomaterials for sports-related bone injury applications. The study developed an artificial neural network (ANN) model to accurately predict the biodegradation rate, compressive strength, and hardness of tricalcium phosphate (TCP) bioceramics as a function of porosity and bone growth. The ANN demonstrated high accuracy in forecasting these key bioceramic properties. © 2025 Elsevier Ltd

关键词： NoSQL   Education   Teaching methods   Constructive alignment   Database   Systematic literature review   Software Engineering   Computer science  

摘要： NoSQL databases are essential for managing modern data-intensive applications. While SQL education is a crucial part of the software engineering and computer science curriculum, it is insufficient in addressing the rise of big data and cloud infrastructures. Despite extensive research on SQL education, there is limited exploration of NoSQL education, particularly in teaching methods and data models. This study addresses this gap by conducting a systematic literature review on NoSQL database education, aiming to assess current research, teaching practices, models, tools, scalability, and security mechanisms while offering a framework for integrating NoSQL into academic curricula. Out of 386 articles, 28 were selected for detailed analysis, focusing on NoSQL teaching methods, models, and curriculum development. Findings revealed that document-oriented and graph databases, especially MongoDB, Cassandra, and Neo4j, are the most taught. The project-based learning approach was the most common teaching method. Challenges identified include adapting to technological advancements, addressing diverse student needs, and the shift to online learning. This review contributes valuable insights into NoSQL education and offers recommendations for improving teaching practices in software engineering curricula.

摘要： This study investigates how a CS teacher's professional identity develops during the implementation of an AI curriculum in a rural middle school. Addressing teachers' challenges with limited AI training, it focuses on identity dimensions of participation, self-categorization, and confidence. Data sources include classroom video observations and teacher interviews, analyzed using content analysis and Latent Dirichlet Allocation (LDA). The study finds that modeling, collaboration, and self-reflection strategies increase teacher participation and confidence, supporting positive self-categorization as an independent AI educator. The findings highlight the importance of targeted support to foster teacher identity development and preparedness in AI-integrated K-12 STEM + C education.

关键词： Computational thinking   CS education   Gender disparity   K-12 education   Systematic review  

摘要： This study conducts a systematic review of the literature to investigate gender disparities in K-12 computer science (CS) education. We selected articles published in peer-reviewed journals that focused on both cognitive and affective aspects of computational thinking and CS education at the primary and secondary levels. A total of 29 studies were reviewed, and their findings were synthesized to assess the status of gender disparities, contributing factors, and instructional approaches. The results indicated that gender differences in cognitive and affective dimensions of CS education become more evident as students advance through school, with a greater negative impact on girls. The review identified three interconnected factors contributing to these disparities: socio-cultural influences, educational environments, and individual psychological factors. Additionally, the study proposed instructional approaches to address these issues and recommended future research to fill the current gaps in CS education research. © 2025

关键词： Balinese Traditional Architecture   Balinese Traditional Buildings   Kosala Kosali   Balinese Traditional Architecture Dataset   Residential Buildings   Sacred Buildings   Cultural Preservation   Computer Vision and Pattern Recognition   Computer science  

摘要： This study introduces a dataset focused on Balinese traditional architecture, comprising two main categories, residential and sacred buildings. The dataset includes 14 types of residential buildings with 68 images and 29 types of sacred buildings with 76 images. Each design is represented through 2D drawings, such as front, side, section views, and floor plans, created using AutoCAD software. These drawings are meticulously derived from traditional Balinese architectural texts to ensure alignment with cultural norms. The completed designs were exported into JPG format using Figma, with accompanying metadata that includes size and structural details to enhance usability. This dataset aims to support researchers, cultural preservationists, and educators in exploring and preserving Balinese architectural heritage.

关键词： Student mental health   Music therapy   Information processing   Interactive systems   Intelligent Computers   Heart Rate Test  

摘要： In order to explore music therapy methods suitable for different types of students, this paper analyzes students' daily behavioral habits, studies the motivations and sources of their mental health activities, and constructs a student mental health data processing system based on network application development tools. Using .net application development tools as the main tool, a student mental health data information processing system is simulated and designed. Based on its own understanding of usage, this paper analyzes several commonly used system function modules and supplements the IoT smart medical health monitoring architecture. The results show that music therapy has a certain therapeutic effect on students' mental health. The high school students surveyed in this questionnaire meet the scope of application of music therapy. Combined with the various advantages of modern computer technology and IoT sensors, the mental health status of students is analyzed to restore their mental health level.

关键词： Computer science   Teachers   Computational thinking   Scratch   constructionism   Teachers' perceptions  

摘要： In recent years, there has been increasing interest in integrating Computational Thinking (CT) into elementary schools. However, few studies have focused on teachers' perceptions. This study aims to examine teachers' perceptions to bridge the gap between theory and practice. The study analysed teachers' perceptions of integrating CT into school subjects through the constructionist approach, using Scratch a leading programming platform inspired by Resnick's Lifelong Kindergarten Constructionist model. Over a school year, 31 teachers participated in a professional development program and applied this model in their classrooms. The teachers were interviewed to capture their perceptions of learning and teaching using a constructionist method. The findings revealed that teachers with creative arts experience fully embraced the model, while others partially adopted it. Teachers recognized the benefits of constructionist teaching in fostering creativity, motivation, and engagement among students. However, they struggled with balancing these benefits with school demands and constraints. Challenges included managing time effectively within constraints of school and ensuring curriculum alignment. Despite this, many teachers found that the constructionist approach positively impacted students' learning engagement and personal development. By addressing the identified challenges, teacher education designers, curriculum developers, and schools can develop practices for closing the gap between theory and practice.