Global Microscope on the Microfinance Business Environment 2010: An Index and Study by the Economist Intelligence Unit

This report outlines the findings of the Economist Intelligence Unit¿s in-depth analysis of the microfi nance business environment in 54 countries. The index that underlies this report allows countries and regions to be compared across three broad categories: regulatory framework, institutional development and investment climate. The study uses a methodology which was originally developed for Latin America and the Caribbean in 2007 and was employed for the fi rst time on a global basis in 2009. Most of the research for this report was conducted prior to May 2010, although some later developments (up to July) were included where they were particularly signifi cant.Microbusinesses & Microfinance

Boîte à outils du travailleur du Web 2012 (La)

Ce document rassemble et commente brièvement une série d\u27outils très pratiques susceptibles de faciliter la production de contenus sur le web

Social Intelligence Design in Ambient Intelligence

This Special Issue of AI and Society contains a selection of papers presented at the 6th Social Intelligence Design Workshop held at ITC-irst, Povo (Trento, Italy) in July 2007. Being the 6th in a series means that there now is a well-established and also a growing research area. The interest in this research area is growing because, among other things, current computing technology allows other than the traditional efficiency-oriented applications associated with computer science and interface technology. For example, in Ambient Intelligence (AmI) applications we look at sensor-equipped environments and devices (robots, smart furniture, virtual humans and pets) that support their human inhabitants during their everyday activities. These everyday activities also include computer-mediated communication, collaboration and community activities

Emotional Intelligence: a Study on University Students

Nature bestowed humans with emotions. Emotions are significant predictors of anyone's success. Now Emotional Intelligence is an established phenomenon is under eye of researcher and psychologist. The objectives of this study were (i) to explore the level of Emotional Intelligence of University's students. (ii) to find ouu the difference between Emotional Intelligence on the basis of gender, locality, level of course and School of study. This survey based study used data from 200 students of Central University of South Bihar, Gaya, India. Results indicated that all university's students were having high level of emotional intelligence. Result indicates that all students of School of Education have emotional Intelligence of high level except in comparison of students of School of Law & Governance. Male and female students are significantly differed from each other on Emotional Intelligence on overall sample. Female students found more Emotional Intelligent with high mean value. UG and PG students of were found not significantly differ from each other on Emotional intelligence. UG students were more emotionally intelligent on the basis of mean value. Residential location does not have any significant role but rural students were more emotionally intelligent in comparison to their counterpart

Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students

Artificial intelligence is a system with the nature of human intelligence that can automatically provide knowledge and information to create intelligent applications to make it easier to solve problems such as problem-solving, speech recognition, and learning. This research was investigated to find out and understand the relationship of intelligence between educators and students in applying artificial intelligence in universities. The method used is a phenomenological type of qualitative method. This research was conducted at Nurul Jadid University (UNUJA), with the subject of research being PAI lecturers and students in semester V. This research phase was carried out by preliminary studies, observation, data collection (interviews), data verification, and drawing conclusions. As for the results of this study, in its application, artificial intelligence in universities has a positive and negative impact on the relationship of intelligence to learning when it is carried out outside conventional learning. The intelligence relationship between educators and students, which includes Intelligence Quotient (IQ), Emotional Quotient (EQ), and Spiritual Quotient (SQ) contained in it, is also a positive thing that coexists and is directed