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Papi Mostafa Bondarenko Anna Vitalyevna Wawire Brenda Jiang Chen Zhou Shiyao 《Reading and writing》2020,33(2):507-509
Reading and Writing - The original publication of the article contained errors in the tables. 相似文献
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Nicolas Faysse Mohamed Taher Sraïri Mostafa Errahj 《The Journal of Agricultural Education and Extension》2013,19(3):285-299
Abstract Purpose: The study investigated to what extent local farmers' organisations are spaces where farmers discuss, learn and innovate. Design/methodology/approach: Two milk collection cooperatives in Morocco were studied. The study analysed the discussion networks, their impacts on farmers' knowledge and innovation, and the performance of collective action at cooperative level. Findings: In both cooperatives, only two-thirds of the farmers regularly discussed dairy practices with other farmers. Most leaders of one cooperative were acknowledged to be experienced farmers and played key roles as advisors on dairy farming. Farmers' involvement in dialogue networks in this cooperative improved their capacity to innovate in dairy farming, even though their knowledge on some issues related to cattle, health and nutrition was not improved. In the other cooperative, experienced farmers did not share their knowledge and farmers' involvement in dialogue networks at cooperative level had no impact on their knowledge and practices. Dialogue networks and collective action were found to influence each other, since in the first cooperative, collective action was considered by members to be efficient, whereas in the second collective action was limited to milk collection. Practical implications: The study enabled identification of stumbling blocks which need to be addressed to get local farmers’ organisations involved in farmer capacity-building. Originality/value: While the importance of local discussion networks for knowledge creation and diffusion is widely acknowledged, taking such networks into account in farmers' capacity-building programmes in developing countries has been hindered by their informality. Combining the analysis of dialogue networks and collective action proved to be a productive way to assess the potentialities of working with farmers' organisations with the aim of establishing a connection with local discussion networks. 相似文献
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Al-Emran Mostafa Mezhuyev Vitaliy Kamaludin Adzhar 《Education and Information Technologies》2021,26(3):2585-2606
Education and Information Technologies - Researchers have shown that knowledge acquisition and sharing have considerably influenced the acceptance of various technologies. However, there is a... 相似文献
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Al Shamsi Jawaher Hamad Al-Emran Mostafa Shaalan Khaled 《Education and Information Technologies》2022,27(6):8071-8091
Education and Information Technologies - Artificial intelligence (AI)-based voice assistants have become an essential part of our daily lives. Yet, little is known concerning what motivates... 相似文献
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Papi Mostafa Bondarenko Anna Vitalyevna Wawire Brenda Jiang Chen Zhou Shiyao 《Reading and writing》2020,33(2):485-505
Focused on the effects of different type of feedback on learners’ written products, research on written corrective feedback (WCF) has cast second language writers as passive recipients rather than proactive agents in the feedback process. Revisiting the notion of WCF, this study introduces the notion of feedback-seeking behavior (Ashford & Cummings, 1983) to the field of second language writing and examines its motivational mechanisms using Dweck’s (1999) theory of mindsets and an overarching cost-value analysis framework (e.g., Ashford & Cummings, 1983; Anseel et al., 2015). Questionnaire data were collected from 128 foreign language writers from a major public university in the United States. Multiple regression and mediation analyses showed that a growth language mindset predicted the value of feedback, which, in turn, was a strong predictor of both feedback monitoring and feedback inquiry. A fixed language mindset, on the other hand, predicted the cost of feedback seeking, which, in turn, negatively predicted feedback monitoring. The findings offer new venues for second language writing research and pedagogy.
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This article adds to the existing literature on nonformal learning in education in general and the role played by written feedback in providing the space for such learning in particular. The study was conducted in an English as a Foreign Language context in which the participating students received written feedback on their English writings. Employing qualitative interviews and stimulated recall methodology, we explored interstudent interactions, cross-cultural understanding, and initiation into communities of practice, and categorized these as reactive and deliberative types of nonformal learning. Drawing upon Eraut's typology of nonformal learning, we would argue that formative written feedback provided on students' writings could lead to nonformal learning because it encourages them to act upon it. 相似文献
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Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques 总被引：1，自引：0，他引：1
This study uses data mining techniques to examine the effect of various demographic, cognitive and psychographic factors on Egyptian citizens’ use of e-government services. Data mining uses a broad family of computationally intensive methods that include decision trees, neural networks, rule induction, machine learning and graphic visualization. Three artificial neural network models (multi-layer perceptron neural network [MLP], probabilistic neural network [PNN] and self-organizing maps neural network [SOM]) and three machine learning techniques (classification and regression trees [CART], multivariate adaptive regression splines [MARS], and support vector machines [SVM]) are compared to a standard statistical method (linear discriminant analysis [LDA]). The variable sets considered are sex, age, educational level, e-government services perceived usefulness, ease of use, compatibility, subjective norms, trust, civic mindedness, and attitudes. The study shows how it is possible to identify various dimensions of e-government services usage behavior by uncovering complex patterns in the dataset, and also shows the classification abilities of data mining techniques. 相似文献