Protected areas and poverty

Protected areas are controversial because they are so important for conservation and because they distribute fortune and misfortune unevenly. The nature of that distribution, as well as the terrain of protected areas themselves, have been vigorously contested. In particular, the relationship between protected areas and poverty is a long-running debate in academic and policy circles. We review the origins of this debate and chart its key moments. We then outline the continuing flashpoints and ways in which further evaluation studies could improve the evidence base for policy-making and conservation practice

A View from the Top: International Politics, Norms and the Worldwide Growth of NGOs

This article provides a top-down explanation for the rapid growth of nongovernmental organizations (NGOs) in the postwar period, focusing on two aspects of political globalization. First, I argue that international political opportunities in the form of funding and political access have expanded enormously in the postwar period and provided a structural environment highly conducive to NGO growth. Secondly, I present a norm-based argument and trace the rise of a pro-NGO norm in the 1980s and 1990s among donor states and intergovernmental organizations (IGOs), which has actively promoted the spread of NGOs to non-Western countries. The article ends with a brief discussion of the symbiotic relationship among NGOs, IGOs, and states promoting international cooperation

Enhancing e-learning systems with personalized recommendation based on collaborative tagging techniques

Personalization of the e-learning systems according to the learner’s needs and knowledge level presents the key element in a learning process. E-learning systems with personalized recommendations should adapt the learning experience according to the goals of the individual learner. Aiming to facilitate personalization of a learning content, various kinds of techniques can be applied. Collaborative and social tagging techniques could be useful for enhancing recommendation of learning resources. In this paper, we analyze the suitability of different techniques for applying tag-based recommendations in e-learning environments. The most appropriate model ranking, based on tensor factorization technique, has been modified to gain the most efficient recommendation results. We propose reducing tag space with clustering technique based on learning style model, in order to improve execution time and decrease memory requirements, while preserving the quality of the recommendations. Such reduced model for providing tag-based recommendations has been used and evaluated in a programming tutoring system.publishedVersionThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made