Devising and Evaluating B2B Conceptual Model for B2B Portal for Mobile Interactive Devices Using Man Whitney U Test

The focus of this research study is set in devising and evaluating the efficiency of B2B conceptual model for mobile interactive devices using Man Whitney U test which is a non-parametric test. As the case of this study is chosen creating a B2B model as an idea of linking businesses in region of Balkan. The system works on multiple languages. There are many businesses in the Balkans which have many problem in communication, and finding a market to sell their products which makes it hard to function and survive in business world. Many of these people use interactive devices 60-70% percent of the time compare with computers. The research focus was set to investigate and asses’ main factors which help developers to develop a system which is compatible and easy to use. This research study tries to contribute with the devised B2B conceptual model that is intended to help developers in designing and developing a web portal for mobile devices. Through the Case Study investigated several impacting factors. Also evaluated the usability and user-friendliness of the developed B2B model and used Man Whitney U test to determine the impact. Insights and recommendations are provided. This work is licensed under a&nbsp;Creative Commons Attribution-NonCommercial 4.0 International License.</p

Devising New CLA Methodology in Teaching Programming Using Flipped Learning with Counterpart Learner Assistant - CLA

The focus of the research study is to devise a new CLA methodology in teaching programming using flipped learning using a counterpart learner assistant -CLA from the learner side. Investigated the benefits of the flipped learning pedagogy focusing on assessment of learners on their attitudes, motivation, and effectiveness when using flipped learning compared with traditional classroom learning has been realized. There is a difference between a Flipped Classroom and Flipped Learning. These terms are not interchangeable. Flipping a class can, but does not necessarily, lead to Flipped Learning. Four broad categories of instructional approaches for use in an flipped learning have been identified: (a) individual activities, (b) paired activities, (c) informal small groups, and (d) cooperative student projects. The research study is based on the theory of Bloom\u27s revised taxonomy of cognitive domain. This taxonomy provides six levels of learning discussed in the research methodology section. In order to analyse all this, a case study experiment was realized and insights as well as recommendations are presented. This work is licensed under a&nbsp;Creative Commons Attribution-NonCommercial 4.0 International License.</p

Survey Analyses of The Specific Impacting Factors in Devising a Machine Learning Prediction model for The General Election Process in Kosovo

The focus of the research study was analyses of impacting factors and later to incorporate those insights into variables to be measured for devising a machine learning predictive model for prognosis and prediction of the general election turnout in Kosovo. We have developed a novel method for recognizing the main impacting factors in elections. Our method shows that finding out whether different ways of collecting different data of election voters can lead to much better prediction and understanding of the election process. In order to do that we needed to analyze the specific impacting factors in the election process in Kosovo are investigated during the study. The data has derived from an originally collected survey dataset that contains the impacting factors previously identified and assessed regarding the general parliamentary elections in Kosovo  has been realized. Insights and recommendation has been discussed and argumented

Analyses of Methods for Prediction of Elections Using Software Systems

The primary objective of this research study is to review and analyze the published literature regarding the possibilities of forecasting and predicting the result of elections using software systems. The factors motivating research institutions and individuals to consider research impact on prediction of elections are manifold. Understanding the impact of different software tools, algorithms and social networking software applications on prediction of elections is a vital, and often overlooked, element of forecasting the election results. The literature review was conducted to examine methods and current software applications and practices as well as projects on election predictions. The review focused in particular on social media applications and different methods on accessing the opinion of the potential voters. The review draws on an international literature, although it is limited to English language publications. The findings identify the different methods used, the advantages and disadvantages of different approaches and the methods that are used currently and that have shown most effective results and recommendations are provided

Assessing the Impacting Factors in Prediction of Parliamentary Elections Turnout Using Heuristics and Devising MIP Algorithmic Model

The research focus is on identifying and assessing the impacting factors to be measured in order to realize prediction of parliamentary elections outcome using the (MIP) algorithmic model. We have developed a novel method for recognizing the main impacting factors in elections using the (MIP) algorithmic model. We have firstly used adaptive heuristics. In order to devise and asses the impacting factors we have devised most-important-problem (MIP) algorithmic model to predict the outcome of Kosovo parliamentary elections and grounded it on the TTB (take-the-best) strategy. An analysis of forecasting approach to elections and the performance metrics (variance) using the (MIP) algorithmic model has been used. provided are all the main variables we have measured. We have provided posterior binomial proportion. This method is very popular when modelling geopolitical situations with complex dynamics in the system. The data has derived from an originally collected survey dataset that contains the impacting factors previously identified and assessed regarding the parliamentary elections in Kosovo has been realized

Survey Analyses of The Specific Impacting Factors in Devising a Machine Learning Prediction model for The General Election Process in Kosovo

The focus of the research study was analyses of impacting factors and later to incorporate those insights into variables to be measured for devising a machine learning predictive model for prognosis and prediction of the general election turnout in Kosovo. We have developed a novel method for recognizing the main impacting factors in elections

Devising an Algorithm for Election Prediction Using Survey of Voters Opinions

The purpose of this research study is to analyze how we use voter polls to predict elections and to design an algorithm to predict elections. We propose a method of prediction based on learning algorithm to determine the political profile of a voter group by obtaining a linear hierarchy on the attributes that weights the number of instances that are more relevant. Our process starts with opinion survey collected directly from the target group of voter