scholarly journals Roots and Shoots: Building Bridges between Schools and Their Communities

2021 ◽  
Vol 13 (22) ◽  
pp. 12543
Author(s):  
Jan Cincera ◽  
Zuzana Gallayova ◽  
Simona Kuciakova ◽  
Daphne Goldman

The study analyses the benefits and challenges emerging from students’ interactions with community, teachers, and other students in the place-based education program Roots and Shoots, in the Slovak Republic. The study is based on qualitative analyses of data obtained from eight teachers and 56 students interviewed in eight focus groups, and on quantitative data obtained from 53 students. Both the students and the teachers perceived the Roots and Shoots program as highly successful. The implementation of the program was challenged by the necessity of dealing with different levels of the students’ participation in decision-making, tensions between the involved and uninvolved students, and the complex nature of local sustainability issues. This study discusses the importance of engaging students in the participative process of solving real-world issues, reflecting the challenges of this educational approach.

2021 ◽  
Vol 8 ◽  
pp. 233339362110569
Author(s):  
Marianne Kollerøs Nilsen ◽  
Bodil H. Blix ◽  
Hege Sletvold ◽  
Rose Mari Olsen

Decisions regarding pro re nata medications might be challenging due to the complex nature of the practice. The aim of this study was to expand our understanding of the experiences of older people living in sheltered housings with regard to shared decision-making concerning pro re nata medications. In this study, we conducted in-depth interviews with residents living in Norwegian sheltered housings. The analysis was inductive, based on a narrative positioning analysis. Twelve residents were interviewed, and three narratives representing participants’ variation are presented. People take different positions in shared decision-making of pro re nata medication, and they position themselves variously at different levels and situations. Prevailing master narratives affect the residents’ positions in shared decision-making. Contrasts in older adults’ experiences indicate that shared decision-making is not straightforward and is highly reliant on the context. Seemingly, they wish to be involved and not involved at the same time, a contradiction that healthcare providers need to consider.


2010 ◽  
Vol 365 (1553) ◽  
pp. 2737-2750 ◽  
Author(s):  
Marta C. Soares ◽  
Redouan Bshary ◽  
Leonida Fusani ◽  
Wolfgang Goymann ◽  
Michaela Hau ◽  
...  

Research on the diversity, evolution and stability of cooperative behaviour has generated a considerable body of work. As concepts simplify the real world, theoretical solutions are typically also simple. Real behaviour, in contrast, is often much more diverse. Such diversity, which is increasingly acknowledged to help in stabilizing cooperative outcomes, warrants detailed research about the proximate mechanisms underlying decision-making. Our aim here is to focus on the potential role of neuroendocrine mechanisms on the regulation of the expression of cooperative behaviour in vertebrates. We first provide a brief introduction into the neuroendocrine basis of social behaviour. We then evaluate how hormones may influence known cognitive modules that are involved in decision-making processes that may lead to cooperative behaviour. Based on this evaluation, we will discuss specific examples of how hormones may contribute to the variability of cooperative behaviour at three different levels: (i) within an individual; (ii) between individuals and (iii) between species. We hope that these ideas spur increased research on the behavioural endocrinology of cooperation.


2020 ◽  
Author(s):  
Daniel Neves Schmitz Gonçalves ◽  
Renata Albergaria de Mello Bandeira ◽  
Tássia Faria de Assis ◽  
Marcio Almeida D'Agosto ◽  
George Vasconcelos Goes ◽  
...  

Abstract Background: Recent studies evidence a lack of accurate methods to estimate energy efficiency in urban areas. This is due to the complex nature of obtaining wide range of activity and energy data from a single municipality, especially from developing countries, where data is usually scarce. Under these circumstances, this paper develops a method for estimating the energy efficiency in urban passenger mobility, considering three different levels of detail. The innovative factor is the use of a multi-tier approach to compare and adjust outputs. The method was applied in Sorocaba, Brazil, estimating a baseline of energy efficiency in this city. Results: Results show that energy efficiency varied from 0.67 passenger per kilometer/Mega Joule in 2013 to 0.70 passenger per kilometer /Mega Joule in 2017, which are consistent with the Brazilian passenger transport energy efficiency. Conclusions: The method proved to be an important mechanism for benchmarking purposes and for the decision-making process on transport investments. Moreover, it can be applied in cities from countries with different cultural and economic contexts.


2021 ◽  
Vol 11 (6) ◽  
pp. 2817
Author(s):  
Tae-Gyu Hwang ◽  
Sung Kwon Kim

A recommender system (RS) refers to an agent that recommends items that are suitable for users, and it is implemented through collaborative filtering (CF). CF has a limitation in improving the accuracy of recommendations based on matrix factorization (MF). Therefore, a new method is required for analyzing preference patterns, which could not be derived by existing studies. This study aimed at solving the existing problems through bias analysis. By analyzing users’ and items’ biases of user preferences, the bias-based predictor (BBP) was developed and shown to outperform memory-based CF. In this paper, in order to enhance BBP, multiple bias analysis (MBA) was proposed to efficiently reflect the decision-making in real world. The experimental results using movie data revealed that MBA enhanced BBP accuracy, and that the hybrid models outperformed MF and SVD++. Based on this result, MBA is expected to improve performance when used as a system in related studies and provide useful knowledge in any areas that need features that can represent users.


Author(s):  
Jessica M. Franklin ◽  
Kai‐Li Liaw ◽  
Solomon Iyasu ◽  
Cathy Critchlow ◽  
Nancy Dreyer

2021 ◽  
Vol 1 ◽  
pp. 881-890
Author(s):  
Michal Kozderka ◽  
Bertrand Rose

AbstractDuring the last three decades we observe growing use of ecodesign, but we observe also misuse of ecodesign methods, leading often to time and financial loss. In coherence with several failure analysis and with our observation, we base our work on a hypothesis: Misuse of ecodesign is often caused by lack of basic comprehension of environmental issues: Non linearity of the processes, their inertia and their excessive costs.Building on this hypothesis, we decided to enhance our education program with an innovative serious game. The goal is to achieve comprehension of the basic environmental issues. Innovation of the game lies in revealing to students at the end of the game, that the fictive initial situation of the game corresponded to a starting point of a real catastrophe. Students can thus not only compare their decisions with those of real leaders, but also to understand how and why bad decisions were taken.Experiments indicate that students who played the game tend to evaluate environmental problems, while those who followed a lecture tend to describe them. This trend (going further than to a description) seems to be useful in decision making and in deployment of ecodesign methods.


Author(s):  
Elizabeth Marie Wulff-Burchfield ◽  
Maryellen Potts ◽  
Katherine Glavin ◽  
Moben Mirza

Abstract Introduction Radical cystectomy remains the standard of care for muscle-invasive bladder cancer and high-risk non-muscle-invasive bladder cancer. Postoperative ostomy education is common, but patients struggle to maintain self-management practices. A preoperative ostomy education program was developed to meet this need, and we conducted a qualitative study with participating patient-caregiver dyads to evaluate the educational and psychosocial impacts of the program and examine alignment with program objectives. Materials and methods A qualitative descriptive study was conducted utilizing a thematic analysis approach. Sixteen patients, eighteen caregivers, and three program educators completed semi-structured interviews from 3 to 18 months post the program. Interviews were audio-recorded and transcribed. Thirteen end-of-course surveys from the initial educational program cohort were transcribed, coded, analyzed; this data was triangulated with patient, caregiver, and educator interviews. Results Analysis uncovered three themes: (1) Patient and caregiver motivation to attend the program, (2) attitudes toward this life-changing event, and (3) education. For theme 1, patients and caregivers cited lack of knowledge, fear, and concern about ostomy surgery and care as motivation. For theme 2, there were a variety of attitudes toward the ostomy, ranging from avoidance to acceptance, and a similar breadth of attitudes toward caregiving, with some patients and caregivers describing ongoing dependence and other patients seeking complete independence. For theme 3, the interactive curriculum was determined to be effective, and the patient advocate was cited as the most memorable program component. Conclusions A formal preoperative ostomy education program employing an interactive educational approach and featuring a patient advocate can prepare bladder cancer patients and caregivers for ostomy self-management and post-ostomy life.


2021 ◽  
Vol 13 (13) ◽  
pp. 7007
Author(s):  
Habtamu Nebere ◽  
Degefa Tolossa ◽  
Amare Bantider

In Ethiopia, the practice of land management started three decades ago in order to address the problem of land degradation and to further boost agricultural production. However, the impact of land management practices in curbing land degradation problems and improving the productivity of the agricultural sector is insignificant. Various empirical works have previously identified the determinants of the adoption rate of land management practices. However, the sustainability of land management practices after adoption, and the various factors that control the sustainability of implemented land management practices, are not well addressed. This study analyzed the factors affecting the sustainability of land management practices after implementation in Mecha Woreda, northwestern Ethiopia. The study used 378 sample respondents, selected by a systematic random sampling technique. Binary logistic regression was used to analyze the quantitative data, while the qualitative data were qualitatively and concurrently analyzed with the quantitative data. The sustained supply of fodder from the implemented land management practices, as well as improved cattle breed, increases the sustainability of the implemented land management practices. While lack of agreement in the community, lack of enforcing community bylaws, open cattle grazing, lack of benefits of implemented land management practices, acting as barrier for farming practices, poor participation of household heads during planning and decision-making processes, as well as the lack of short-term benefits, reduce the sustainability of the implemented land management practices. Thus, it is better to allow for the full participation of household heads in planning and decision-making processes to bring practical and visible results in land management practices. In addition, recognizing short-term benefits to compensate the land lost in constructing land management structures must be the strategy in land management practices. Finally, reducing the number of cattle and practicing stall feeding is helpful both for the sustainability of land management practices and the productivity of cattle. In line with this, fast-growing fodder grass species have to be introduced for household heads to grow on land management structures and communal grazing fields for stall feeding.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alan Brnabic ◽  
Lisa M. Hess

Abstract Background Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. Methods This systematic literature review was conducted to identify published observational research of employed machine learning to inform decision making at the patient-provider level. The search strategy was implemented and studies meeting eligibility criteria were evaluated by two independent reviewers. Relevant data related to study design, statistical methods and strengths and limitations were identified; study quality was assessed using a modified version of the Luo checklist. Results A total of 34 publications from January 2014 to September 2020 were identified and evaluated for this review. There were diverse methods, statistical packages and approaches used across identified studies. The most common methods included decision tree and random forest approaches. Most studies applied internal validation but only two conducted external validation. Most studies utilized one algorithm, and only eight studies applied multiple machine learning algorithms to the data. Seven items on the Luo checklist failed to be met by more than 50% of published studies. Conclusions A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.


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