Your search
Results 903 resources
-
The research explores the perceptions of five secondary school students with special education needs (SEN) about their participation in learning, group membership, and agency within an inclusive school in Macau SAR. This goal is achieved by using students' voices documented in open-ended interviews and is underpinned by the conceptual framework of heutagogy. The aim is to shed light on students' perceptions on school effectiveness in supporting their needs through successful participation and agentic possibilities. Findings showed that students were more prone to social rejection and being isolated or bullied than their peers. They were struggling to feel included or participate, their needs were only partially being met, and they had few opportunities to exert influence on their educational trajectories. Recommendations are provided to assist educators and schools in enhancing students with SEN to connect to the learning process and community, with the provision of appropriate learning adjustments and more active approaches to ensure their acceptance by mainstream students, including the formation of coaching peers to assist in developing social and academic skills under teacher's scaffolding practices. This study highlights the contribution of the heutagogical perspective to advance research on the participation and agency of students with SEN in mainstream schools.
-
A significant number of people infected by COVID19 do not get sick immediately but become carriers of the disease. These patients might have a certain incubation period. However, the classical compartmental model, SEIR, was not originally designed for COVID19. We used the simple, commonly used SEIR model to retrospectively analyse the initial pandemic data from Singapore. Here, the SEIR model was combined with the actual published Singapore pandemic data, and the key parameters were determined by maximizing the nonlinear goodness of fit R2 and minimizing the root mean square error. These parameters served for the fast and directional convergence of the parameters of an improved model. To cover the quarantine and asymptomatic variables, the existing SEIR model was extended to an infectious disease model with a greater number of population compartments, and with parameter values that were tuned adaptively by solving the nonlinear dynamics equations over the available pandemic data, as well as referring to previous experience with SARS. The contribution presented in this paper is a new model called the adaptive SEAIRD model; it considers the new characteristics of COVID19 and is therefore applicable to a population including asymptomatic carriers. The predictive value is enhanced by tuning of the optimal parameters, whose values better reflect the current pandemic.
-
The COVID-19 pandemic spread generated an urgent need for computational systems to model its behavior and support governments and healthcare teams to make proper decisions. There are not many cases of global pandemics in history, and the most recent one has unique characteristics, which are tightly connected to the current society’s lifestyle and beliefs, creating an environment of uncertainty. Because of that, the development of mathematical/computational models to forecast the pandemic behavior since its beginning, i.e., with a restricted amount of data collected, is necessary. This chapter focuses on the analysis of different data mining techniques to allow the pandemic prediction with a small amount of data. A case study is presented considering the data from Wuhan, the Chinese city where the virus was first detected, and the place where the major outbreak occurred. The PNN + CF method (Polynomial Neural Network with Corrective Feedback) is presented as the technique with the best prediction performance. This is a promising method that might be considered in future eventual waves of the current pandemic or event to have a suitable model for future epidemic outbreaks around the world.
Explore
USJ Theses and Dissertations
- Doctorate Theses (21)
- Master Dissertations (365)
Academic Units
- Domingos Lam Centre for Research in Education (1)
- Faculty of Arts and Humanities (117)
- Faculty of Business and Law (131)
- Faculty of Health Sciences (15)
- Faculty of Religious Studies and Philosophy (65)
- Institute for Data Engineering and Sciences (29)
- Institute of Science and Environment (61)
- Library (3)
- Macau Ricci Institute (7)
- School of Education (97)
Resource type
- Blog Post (3)
- Book (30)
- Book Section (76)
- Conference Paper (59)
- Document (4)
- Journal Article (221)
- Magazine Article (12)
- Manuscript (1)
- Newspaper Article (34)
- Preprint (4)
- Presentation (46)
- Radio Broadcast (5)
- Report (20)
- Thesis (387)
- Web Page (1)
United Nations SDGs
- 03 - Good Health and Well-being (31)
- 04 - Quality Education (9)
- 05 - Gender Equality (1)
- 07 - Affordable and Clean Energy (2)
- 08 - Decent Work and Economic Growth (6)
- 09 - Industry, Innovation and Infrastructure (20)
- 10 - Reduced Inequalities (1)
- 11 - Sustainable Cities and Communities (7)
- 12 - Responsable Consumption and Production (3)
- 13 - Climate Action (5)
- 14 - Life Below Water (14)
- 15 - Life on Land (3)
- 16 - Peace, Justice and Strong Institutions (1)