The practical application of computing to solve real-world problems, including bioinformatics, computational science, digital humanities, e-commerce, social computing, and domain-specific software solutions
8 papersThis survey paper explores how computers and algorithms are transforming graph theory research. It covers methods for generating graphs, analyzing their properties using databases and invariants, and applying techniques like linear programming, SAT solvers, and machine learning. The authors also present some smaller, new results obtained using computer-assisted methods.
The increasing autonomy and navigational flexibility of AMRs compared to AGVs necessitate a new decision-making framework for planning and control in intralogistics. This study reviews the relevant literature, categorizes AMR planning and control decisions, and proposes a framework based on existing AGV methods, along with a research agenda for future studies.
This paper proposes a taxonomy for the Metaverse, classifying its components (hardware, software, content) and approaches (user interaction, implementation, application). It then analyzes three case studies (Ready Player One, Roblox, and Facebook Research) based on this taxonomy to illustrate how these elements are used in practice and discuss future challenges and limitations.
The paper reviews various applications of Digital Twin (DT) technology across different fields, including industrial production, healthcare, smart cities, aerospace, and business. It highlights the potential of DTs for real-time monitoring, simulation, and prediction but also acknowledges the challenges in their development and implementation, such as data security and model complexity.
Teachers envision AI not just as a tool but as a collaborative learning agent, emphasizing the development of students' cognitive, social, and digital capacities through interdisciplinary learning and authentic problem-solving. They also highlight the need for teacher training, robust infrastructure, a collaborative school culture, and careful consideration of ethical implications related to student-AI interaction.
This study examines the potential of Open Educational Resources (OER) and Open Educational Practices (OEP) to mitigate the disruption to education caused by the COVID-19 outbreak in China. It proposes an OEP framework and offers guidelines for educators and learners on effective OER and OEP implementation. Finally, it discusses urgent strategies applied by the Chinese government and educational institutions to support open and distance learning and suggests future recommendations for improved OER/OEP adoption.
The study found that students perceive both advantages and disadvantages to e-learning. While they appreciate the flexibility and access to information, they also experience increased social isolation and challenges related to technology dependence. These mixed findings suggest that e-learning is a complex phenomenon with both benefits and drawbacks for students.
This study investigated the accessibility, usability, and satisfaction of library users regarding hybrid resources and services in Albay, Philippines. The findings reveal high satisfaction with library resources and services. It also shows that physical resources are preferred over digital despite a lower accessibility for digital resources, and that library hours are the most practical service for users.