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11.
Abstract

Purpose: The objective of this article is to analyze the introduction of participatory extension approaches (PEA) in the predominantly supply-driven, hierarchical Vietnamese extension system. Drawing on the case of the so-called Farmer Livestock School (FLS) concept, the authors investigate the potential and challenges of scaling up and out the FLS/PEA principles of participatory training methods, encompassing intensive and interactive training sessions, group-based sharing of experience, practical learning, and learning-by-doing processes.

Design/Methodology/Approach: The article is based on data collected and synthesized from 36 pilot communes from 2000 to 2007 and draws on the extensive insider experience of two of its authors during their work for a DANIDA-funded livestock project.

Findings: At the micro-scale and with external support, FLS has been a successful experiment of using participatory extension approaches in farmer training and extension in the livestock sector. Yet, possibilities of scaling up and institutionalizing FLS remain a challenge given the capacity and resource limitations and the resistance at various levels within the Vietnamese extension system.

Practical Implications: The starting point for successfully institutionalizing participatory extension approaches should be to assess the existing system's root problems and capacities and then gradually and systematically introduce institutional innovations rather than aiming at a complete overhaul of a system that may result in the creation of a parallel universe.

Originality/Value: The FLS project provided a unique opportunity to study the enabling and constraining factors of institutionalizing participatory extension approaches in a traditionally top-down oriented extension system beyond the immediate duration of an externally orchestrated project.  相似文献   
12.
Around the world, 4.3 million students are engaged in international education each year. However, there is a paucity in theory and empirical research on teachers’ professionalism in international education. This paper aims to fill out this gap and contribute to our understanding of teachers’ changing roles and identity due to the impact of internationalisation and the growth of international students. Drawing on positioning theory as a conceptual framework to understand teachers’ roles and identity, this paper shows the emergence of teacher sub-identities as a reciprocal intercultural learner and an adaptive agent. It argues that these sub-identities are central to teachers’ development of cosmopolitan qualities in the contemporary context of international education.  相似文献   
13.
Vietnam is an important case for studying the impact of foreign firms’ backward linkages on local firms’ productivity. As an emerging economy Vietnam became the second most popular FDI destination after China in Pacific Asia since 2014. Our empirical analysis for Vietnam as a whole demonstrates a significant difference in the productivity growth between domestic suppliers who have a direct linkage with foreign firms and non-suppliers. This is also true for the Southeast Region (SE) with Ho-Chi-Minh City as economic center. However, in the Red River Delta (RRD), that difference is not statistically significant. Based on in-depth interviews with domestic suppliers, we reveal that in the RRD, effects of foreign firms on the productivity upgrading of domestic suppliers are indirect and limited while internal factors like absorptive capacity are more important for the productivity growth. These regional differences can be traced back to different regional specializations which still persist from the pre-reform era.  相似文献   
14.
Five hundred million tweets are posted daily, making Twitter a major social media platform from which topical information on events can be extracted. These events are represented by three main dimensions: time, location and entity-related information. The focus of this paper is location, which is an essential dimension for geo-spatial applications, either when helping rescue operations during a disaster or when used for contextual recommendations. While the first type of application needs high recall, the second is more precision-oriented. This paper studies the recall/precision trade-off, combining different methods to extract locations. In the context of short posts, applying tools that have been developed for natural language is not sufficient given the nature of tweets which are generally too short to be linguistically correct. Also bearing in mind the high number of posts that need to be handled, we hypothesize that predicting whether a post contains a location or not could make the location extractors more focused and thus more effective. We introduce a model to predict whether a tweet contains a location or not and show that location prediction is a useful pre-processing step for location extraction. We define a number of new tweet features and we conduct an intensive evaluation. Our findings are that (1) combining existing location extraction tools is effective for precision-oriented or recall-oriented results, (2) enriching tweet representation is effective for predicting whether a tweet contains a location or not, (3) words appearing in a geography gazetteer and the occurrence of a preposition just before a proper noun are the two most important features for predicting the occurrence of a location in tweets, and (4) the accuracy of location extraction improves when it is possible to predict that there is a location in a tweet.  相似文献   
15.
In the context of social media, users usually post relevant information corresponding to the contents of events mentioned in a Web document. This information posses two important values in that (i) it reflects the content of an event and (ii) it shares hidden topics with sentences in the main document. In this paper, we present a novel model to capture the nature of relationships between document sentences and post information (comments or tweets) in sharing hidden topics for summarization of Web documents by utilizing relevant post information. Unlike previous methods which are usually based on hand-crafted features, our approach ranks document sentences and user posts based on their importance to the topics. The sentence-user-post relation is formulated in a share topic matrix, which presents their mutual reinforcement support. Our proposed matrix co-factorization algorithm computes the score of each document sentence and user post and extracts the top ranked document sentences and comments (or tweets) as a summary. We apply the model to the task of summarization on three datasets in two languages, English and Vietnamese, of social context summarization and also on DUC 2004 (a standard corpus of the traditional summarization task). According to the experimental results, our model significantly outperforms the basic matrix factorization and achieves competitive ROUGE-scores with state-of-the-art methods.  相似文献   
16.
17.
In a Food Processing–Unit Operations course, students learn the basic equipment that comprises unit operations and techniques commonly used in the food industry to prepare, process, and preserve a variety of food products. Due to the complexity of these operations, students frequently struggle with applying food processing principles to predict how unit operations influence the physical, biochemical, sensory, and nutritional properties of foods. This study is designed to evaluate how pre‐class readings and in‐class group activities improve the students’ learning in a Food Processing course. The survey after the exams shows that 48 and 60% of students agree that reading assignments and in‐class group activities help them understand the course material better, respectively. The mean value of exam scores shows that the students in the intervention section (Spring 2018) had significantly higher scores (88.4%) than that of the two previous sections without intervention (77.6%, Spring 2016 and 82.8%, Spring 2017) (P < .05). It is concluded that using a flipped class element like providing reading assignments and quizzes before the lecture can be an effective preparation technique for students as well as providing the instructors with critical insight into the students’ level of understanding before the lecture. This allows the instructor to focus time spent in class on areas in which students struggle the most.  相似文献   
18.
ABSTRACT

Community advisory boards (CABs) have been used to improve research outcomes involving specific communities and populations, including older adults. There is potential to synergize the use of CABs to encompass both research activities and the education of healthcare professionals to help meet increasing demands for a geriatric healthcare workforce in aging populations worldwide. We describe the development and process outcomes of a CAB that synergizes geriatric research and education of students in an allied health profession (occupational therapy). Implementation costs from June 2017–June 2019 were recorded. In-depth interviews were conducted with CAB participants, who were community-dwelling older adults living in St. Louis, Missouri, United States. Interview data were analyzed using a constant comparison method based on a grounded theory approach. Themes were derived regarding barriers, facilitators, and benefits of CAB participation for older adults. Fourteen older adults (aged 65 and over) were initially recruited. The total direct cost of CAB implementation was 4050 United States Dollars over two years. Barriers to CAB participation for older adults included unexpected schedule conflicts due to illness and lack of understanding of the research process, while facilitators included accessible meeting spaces, staff support, flexible participation options, and financial support (e.g., transportation). Perceived benefits of CAB participation included gains in social capital, more positive views of research, and social connectedness. Key lessons learned are described and can be used to inform a novel approach to developing and implementing CABs to improve outcomes of geriatric research and education.  相似文献   
19.
The Urban Review - School choice policy is ubiquitous in urban school districts. Evidence suggests that it has not fully delivered on its proponents’ promises of equitable educational...  相似文献   
20.
Abstract

Recent significant changes in technology such as Artificial Intelligence (AI) and big data analysis have a wide impact in many areas of human societies, not least in education. Advances in efficiency of new technologies, with impacts in renewable energy and transport affected by environmental concerns and climate change mitigation, demand a reassessment and adjustment of the industrial structure of the economy. Technological advances enhancing creativity and analytical skills mean people must learn and adapt to a fast-changing economic environment. This paper present some key changes in Australian educational areas in recent years that are important and relevant to the subject of education innovation and philosophy to achieve outcomes in training and sustainable economic development, as anticipated by the community and government. Education courses and curricula in many countries have been transformed by technological advance. It is the swift incorporation of new technologies that best prepares students for the dynamics of economic and social change. Even though technological responsiveness is not a new phenomenon, it is established that the teaching methods found to be most successful include complementary and supplemental courses producing multi-skilled and creative graduates. These courses are delivered with significant emphasis upon self-development skills and are less focused upon traditional content. A move toward horizontal focus and a student-centric balance is the current trend, displacing vertical over-specialisation of learning. Yet, the central role of educator is seen as still appropriate and necessary where the aim is to equip graduates with creative and adaptive skills.  相似文献   
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