Ana Nikodijevic

Bio: Ana Nikodijevic is an academic researcher from University of Belgrade. The author has contributed to research in topics: Burnout & Conjoint analysis. The author has an hindex of 4, co-authored 5 publications receiving 60 citations.

Smart classroom system for detecting level of interest a lecture creates in a classroom

Abstract: In this paper, a smart classroom system that enables a lecturer to monitor the current level of interest of the audience is presented. The system is based on the Adaboost M1 machine learning algorithm using a training dataset collected from 20 lectures. The system is implemented in Matlab and is capable of recognizing patterns from the sound i.e. spectral entropy and formant frequency, images i.e. descriptors of students' motion and a 3-axis accelerometer i.e. lecturers' motion descriptors. A system performance is evaluated by 10-fold cross validation. The total average accuracy during the simulation was 92.2%. After the simulation, the system was implemented and its performance evaluated by comparing a real-time annotator i.e. the students' feedback with the system output during live lectures. The average accuracy of the system evaluated for three different groups of students was 81.9%; indicating that there is still room for improvement, but that it can be the basis of a novel approach for detecting the level of interest a lecture creates in a classroom environment.

Careers in context: An international study of career goals as mesostructure between societies' career‐related human potential and proactive career behaviour

Abstract: Careers exist in a societal context that offers both constraints and opportunities for career actors. Whereas most studies focus on proximal individual and/or organisational‐level variables, we provide insights into how career goals and behaviours are understood and embedded in the more distal societal context. More specifically, we operationalise societal context using the career‐related human potential composite and aim to understand if and why career goals and behaviours vary between countries. Drawing on a model of career structuration and using multilevel mediation modelling, we draw on a survey of 17,986 employees from 27 countries, covering nine of GLOBE's 10 cultural clusters, and national statistical data to examine the relationship between societal context (macrostructure building the career‐opportunity structure) and actors' career goals (career mesostructure) and career behaviour (actions). We show that societal context in terms of societies' career‐related human potential composite is negatively associated with the importance given to financial achievements as a specific career mesostructure in a society that is positively related to individuals' proactive career behaviour. Our career mesostructure fully mediates the relationship between societal context and individuals' proactive career behaviour. In this way, we expand career theory's scope beyond occupation‐ and organisation‐related factors.

Designing e-learning environment based on student preferences: Conjoint analysis approach

Abstract: The aim of this paper was to determine students’ preferences towards e-learning environment in order to select and design its components that suit the needs of student’s best. The research was implemented using conjoint analysis. Three dimensions of interest were considered: e-learning technology, teaching method and knowledge assessment and the results show that knowledge assessment is the most important e-learning attribute for both traditional and online students. Adding into consideration the teaching method as well, further analysis showed that students can be profiled in two segments: oriented on results or process, which can be used at the beginning of studies to adjust e-learning environment. Research findings emphasized student preferences as essential for designing e-learning system, while student satisfaction turned out to be a key factor determining their persistence for studying in e-learning environment. Finally, recommendations for improvement of existing e-learning system were given.

human Development Index

Abstract: How many countries are included in the 2013 HDI? The 2013 HDI covers 187 countries, the same number as in 2012 and 2011. Maintaining the same number of is the result of intensified efforts by the Human Development Report Office (HDRO) to work with international data providers and national statistical agencies to obtain required development indicators for the HDI which had been unavailable for some countries in previous years. For a full explanation of the results and methodology of the 2013HDI and other indexes in the 2014 Human Development Report, please see the Technical Notes 1-5. What does the HDI tell us? The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. For example, Malaysia has GNI per capita higher than Chile but life expectancy at birth is about 5 years shorter, mean years of schooling is shorter and expected years of schooling is 2.5 years shorter resulting in Chile having a much higher HDI value than the Malaysia. These striking contrasts can stimulate debate about government policy priorities. Did the HDI rankings change for many countries in 2013? Based on the consistent data series that were available on 15 November 2013, there are few countries with changed ranks between 2012 and 2013. The HDI values for 2012 and 2013 are given in Table 1 of Statistical Annex. The HDI trends since 1980 are given in Table 2. In this table we also provide the change in ranks between 2008 and 2013. We advise users of the HDR not to compare the results from different Reports, but to use the consistent data given in Table 2 of the latest report. The consistent data are based on the latest data revisions and are obtained using the same methodology. The effect of change in achievements (improvement or declining) in human development indicators of

Income Inequality : Understanding the Needs of Economically Disadvantaged Children and Families

Abstract: Between 1947 and 1974, income growth was distributed fairly evenly among households in various income groups. However, income inequality has increased over the past 30 or so years. Since the mid-1970s, real income growth for households at the 95th percentile of the distribution has grown at a pace nearly 3/2 times that of households at the 20th percentile. A similar pattern holds between men and women. The Gini coefficient (lower-left chart), a more complete measure of income inequality, considers the entire income distribution. It indicates that income inequality is rising overall. One explanation holds that the increasing disparity of income in the U.S. over the past 30 years results from skill-biased technological change that has benefited higher-skilled workers. The skill-biased hypothesis asserts that technology improvements boost the productivity (and hence the income) of skilled labor by more than it does the unskilled. Since the 1980s, demand for skilled labor has kept pace with the relatively greater supply of skilled workers (as estimated by the rising proportion of college-educated workers), exerting upward pressure on wages for higher-skilled workers. Since the early 1980s, the average real wage has risen roughly 30% for male college graduates and nearly 50% for males with a postgraduate degree. 0 25 50 75 100 125

The Effect of the Internet of Things (IoT) on Education Business Model

Abstract: The introduction of the Internet of Things (IoT) in education, which allows Internet based communications to happen between physical objects, sensors and controllers, has changed educational institutions massively. By embedding sensors in objects and integrating cloud computing, augmented reality, wearable technologies and big data in this platform, different parameters of the educational environment can be measured and analysed to provide useful information. It also has created a new interaction between people and the environment in educational organisation. In this research based on the recent IoT projects in education, we will categorize the application of IoT in education into four groups: energy management and real time ecosystem monitoring, monitoring student's healthcare, classroom access control and improving teaching and learning. We will investigate and analyse how this platform has changed the Education Business Model and added new value propositions in such organizations based on the Canvas Business Model.