This paper presents a comprehensive study of predictive models for student success, leveraging machine learning techniques to analyze diverse factors affecting academic performance in higher education. Using dataset students from various institutions Kosovo, encompassing demographic, socioeconomic, and attributes, the research employs evaluates several algorithms predict dropout rate. To address issue unbalanced data, SMOTE ADASYN were implemented, enhancing accuracy. The identifies...

The digitalization of educational processes has enabled the generation large datasets that can be used to improve in academic environments. One particular problem is prediction student performances based on historical data. Efficient performance not only prevent dropouts at an early stage, but it also help perspective students determine fields which they have high and build successful profile. Due diverse data, this process conducted with degree automations. Therefore, paper we extensive...

The tourism sector is one of the industries that has been hit hardest by Covid-19 pandemic crisis. crisis caused in world but also countries region, mostly affected sector, as well other sectors related to tourism, namely, hotel industry, crafts and transport investments construction numerous projects, both public private sectors. purpose this paper see impact on economic growth. Since was most almost.all tourist centers were closed, very large, causing high losses. Meanwhile, transformative...

Nowadays, people are the most difficult beings to manage due their complexity and complex nature. Human Resources in public sector structures that we must provide impartial treatment, ethical standards, promote a value-based system. Resource Management (HRM) plays an important role development of country, particular, implementation strategic activities for civil service Public Administration. Recently, Information Technology (IT) has impacted all actions society, as well organizational...

This study shows the importance and efficiency of use ICT in subjects field education. Moreover, presents reasons students, as future teachers, what has led them to learn technology they see a benefit from new Technologies Education. The purpose this research is identify courses skills that students who complete faculty teacher education gain following these courses. also aims highlight benefits opinions about its correlation with their success other subjects. paper used combination two...

Undoubtedly, one of the things more valuable nowadays is information. But, information on which form we give it has a very important role for society, where this wide impact especially some topics at time when flow could be unaffordable. Therefore, not every piece take should taken as true, in live in, lot sources share lots fake news, and many times they get out control. Hence, study aims to identify algorithms classify better these news from different sources. By using semiautomatic...

<title>Abstract</title> The challenge of data clustering, especially for text in low-resource languages such as Albanian, is exacerbated by the lack linguistic resources and research. This paper evaluates performance three unsupervised machine learning clustering algorithms: K-Means, DBSCAN, HDBSCAN, on datasets sourced from social media posts where clients expressed their opinions about services two local telecommunication companies: first second company. methodology involves comprehensive...

The challenges and problems that the educational programs are facing nowadays those previously have not been present, therefore, solutions of these concerns should be compatible reasonable in order to a complete function institutions, especially universities transition such as University ‘UH’ Prizren. main reasons addressing this topic through paper ongoing discussions from students for being able learn enough during lectures given by different professors Faculty Economic. In get most...