Big Data and Learning Analytics Model for Promoting Physical Literacy in College Students in China

Physical literacy has gained much popularity in educational circles who are working on the improvement of curriculum and overall standard of education. It involves a holistic lifelong comprehensive learning approach that includes movements and physical activities. Overall, it has positive effects on physical, psychological, social, and cognitive health of individuals, so physical literacy exemplifies the dedication to raise a healthier, more active generation. Numerous factors interacting between humanities and social sciences affect the promotion of physical literacy, so such a study will be interdisciplinary which will consider across all social and individual factors. The current research proposes a system dynamic “SD” model to promote students’ physical literacy by building a complete causal loop diagram of the model to illustrate the general system. Based on the casual loop diagram, the system is then presented as four subsystems. The model is simulated by allocating 14 different changes of indexes in the physical literacy promotion system to find better allocations for optimal effectiveness in promoting physical literacy. Simulations are carried out by using the Apache Spark architecture utilizing “Big Data” tools for effective, speedy, and reliable analysis and results. The study proposes that different physical literacy indexes in different grades require attention; the optimal promotion of physical literacy can be achieved by increasing the physical knowledge of lower-grade students and increasing the physical attitude of higher-grade students. The model can be used to make decisions about efficient physical literacy management and physical literacy promotion planning.

Health Promotion Planning and an Interview With Dr. Lawrence Green

“If we are to have more evidence-based practice, we need more practice-based evidence.” This quote has become something of a mantra for the health promotions profession’s most pre-eminent scholar, Dr. Lawrence W. Green. This editorial features an interview with Dr. Green and previews the forthcoming 5th edition of Green and Kreuter’s seminal health promotion planning textbook. The new title will be Health Program Planning, Implementation and Evaluation: Creating Behavioral, Environmental and Policy Change, with the Johns Hopkins University Press as the new publisher. Co-Editors for this new edition are Larry Green, Andrea Gielen, Judith Ottoson Darleen Peterson, and Marshall Kreuter. This edition shows the vital progression from planning and implementation to evaluation and has further refined and simplified the visual representation of the planning model. The “enabling factors” that will spawn more practice based evidence are discussed. To enable practice-based research will mean that end users of a service or intervention must be taught to be leaders and advocates for approaches that are responsive to their needs, preferences and values.

Data-Driven Promotion Planning for Paid Mobile Applications

In this paper, we propose a two-step data-analytic approach to the promotion planning for mobile applications (apps). In the first step, we use historical sales data to estimate the app demand model and quantify the effect of price promotions on download volume. The estimation results reveal two interesting characteristics of the relationship between price promotion and download volume of mobile apps: (1) the magnitude of the direct immediate promotion effect is declining within a multiday promotion; and (2) due to the visibility effect (i.e., apps ranked high on the download chart are more visible to consumers), a price promotion also has an indirect effect on download volume by affecting app rank, and this effect can persist after the promotion ends. Based on the empirically estimated demand model, we propose a moving planning window heuristic to construct a promotion policy. Our heuristic promotion policy consists of shorter and more frequent promotions. We show that the proposed policy can increase the app lifetime revenue by around 10%.

CIRCUNSTÂNCIA ATUAL DO MUNICIPIO DE PRESIDENTE PRUDENTE FRENTE À ADOÇÃO DA AGENDA 2030 E OS 17 OBJETIVOS DO DESENVOLVIMENTO SUSTENTÁVEL

Thiswork aims is to present brief explanations about the adoption of the 2030 Agenda and its respective Sustainable Development Goals (SDGs) at the local level. A brief study of the specific municipal legislation of São Paulo was adopted as a basis for comparison, which outlines guidelines and initiatives for the implementation, planning and actions of public policies in the implementation of the 2030 Agenda. The indexes and parameters provided by the National Confederation of Municipalities (NCM) by the Mandala SGD platform, and the general evaluation of “Município Verde Azul” Program were used. These instruments present relevant factors for sustainable development, transforming the 2030 Agenda into a reflection and planning tool for municipal managers. It wasfound that over years, although there are still considerable negative variations, several rules have been instituted to regulate relevant issues concerning the environment and local sustainability. However, until now the specific regulation related to Agenda 2030 has not been applied in Presidente Prudente city, which can be considered as an important gap in the search for advances in the quality of public environmental management. To conclude, although there is an important record of progress in general environmental management at the local level, a better coordination between the public authorities and all the agencies involved is necessary. In order to implement a specific guidelines and legal initiatives for the promotion, planning and actions of publicpolicies to implement the Agenda 2030 and the SDGs, which will certainly ensure the exercise of local environmental citizenship