6,163 research outputs found

    Developing the scales on evaluation beliefs of student teachers

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    The purpose of the study reported in this paper was to investigate the validity and the reliability of a newly developed questionnaire named ‘Teacher Evaluation Beliefs’ (TEB). The framework for developing items was provided by the two models. The first model focuses on Student-Centered and Teacher-Centered beliefs about evaluation while the other centers on five dimensions (what/ who/ when/ why/ how). The validity and reliability of the new instrument was investigated using both exploratory and confirmatory factor analysis study (n=446). Overall results indicate that the two-factor structure is more reasonable than the five-factor one. Further research needs additional items about the latent dimensions “what” ”who” ”when” ”why” “how” for each existing factor based on Student-centered and Teacher-centered approaches

    Mobile learning for delivering health professional education (protocol)

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    © 2015 The Cochrane Collaboration.This is the protocol for a review and there is no abstract. The objectives are as follows: The objective of this review is to evaluate the effectiveness of mLearning educational interventions for delivering pre-registration and post-registration healthcare professional education. We will primarily assess the impact of these interventions on students knowledge, skills, professional attitudes and satisfaction

    Learning with relational knowledge in the context of cognition, quantum computing, and causality

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    Design of Randomized Experiments in Networks

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    Over the last decade, the emergence of pervasive online and digitally enabled environments has created a rich source of detailed data on human behavior. Yet, the promise of big data has recently come under fire for its inability to separate correlation from causation-to derive actionable insights and yield effective policies. Fortunately, the same online platforms on which we interact on a day-to-day basis permit experimentation at large scales, ushering in a new movement toward big experiments. Randomized controlled trials are the heart of the scientific method and when designed correctly provide clean causal inferences that are robust and reproducible. However, the realization that our world is highly connected and that behavioral and economic outcomes at the individual and population level depend upon this connectivity challenges the very principles of experimental design. The proper design and analysis of experiments in networks is, therefore, critically important. In this work, we categorize and review the emerging strategies to design and analyze experiments in networks and discuss their strengths and weaknesses

    The social impact of social funds in Jamaica - a mixed-methods analysis of participation, targeting, and collective action in community-driven development

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    The authors develop an evaluation method that combines qualitative evidence with quantitative survey data analyzed with propensity score methods on matched samples to study the impact of a participatory community-driven social fund on preference targeting, collective action, and community decision-making. The data come from a case study of five pairs of communities in Jamaica where one community in the pair has received funds from the Jamaica social investment fund (JSIF) while the other has not-but has been picked to match the funded community in its social and economic characteristics. The qualitative data reveal that the social fund process is elite-driven and decision-making tends to be dominated by a small group of motivated individuals. But by the end of the project there was broad-based satisfaction with the outcome. The quantitative data from 500 households mirror these findings by showing that ex-ante the social fund does not address the expressed needs of the majority of individuals in the majority of communities. By the end of the construction process, however, 80 percent of the community expressed satisfaction with the outcome. An analysis of the determinants of participation shows that better educated and better networked individuals dominate the process. Propensity score analysis reveals that the JSIF has had a causal impact on improvements in trust and the capacity for collective action, but these gains are greater for elites within the community. Both JSIF and non-JSIF communities are more likely now to make decisions that affect their lives which indicates a broad-based effort to promote participatory development in the country, but JSIF communities do not show higher levels of community-driven decisions than non-JSIF communities. The authors shed light on the complex ways in which community-driven development works inside communities-a process that is deeply imbedded within Jamaica's socio-cultural and political context.Community Development and Empowerment,Social Capital,Education and Society,Decentralization,Public Health Promotion,Governance Indicators,Education and Society,Social Capital,Community Development and Empowerment,Civil Society
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