The purpose of this work is to investigate the main philosophical underpinnings of major research paradigms using Positivism and Interpretivism as examples. It would also explain and give crucial interrelationships with ontology, epistemology, methodology, and method. The study followed a literature review approach and was mostly supported by secondary research, which included the incorporation and consideration of many peer-reviewed academic papers relevant to the issue as well as other sources such as books. Researchers might examine the fitness of every model (...) based on the nature and context of their study. This work will assist scholars in developing a better grasp of both positivist and interpretivist perspectives. The interpretivist paradigm might allow researchers to go deeper by seeking perceptions and experiences of a specific social context. The positivist paradigm, on the other hand, will allow researchers to rely more on statistics and generalization, resulting in the formation of universal rules and discoveries. -/- . (shrink)

Abstract: This study introduces a machine learning-based model for predicting student performance using a comprehensive dataset derived from educational sources, encompassing 15 key features and comprising 62,631 student samples. Our five-layer neural network demonstrated remarkable performance, achieving an accuracy of 89.14% and an average error of 0.000715, underscoring its effectiveness in predicting student outcomes. Crucially, this research identifies pivotal determinants of student success, including factors such as socio-economic background, prior academic history, study habits, and attendance patterns, shedding light on the (...) nuanced dynamics of student performance. The key influential features identified in this study offer valuable insights into the complex factors shaping student achievement. These insights are vital for educators, policymakers, and institutions seeking to enhance educational outcomes and promote equitable access to quality education. This research provides a data-driven foundation for proactive interventions, personalized learning strategies, and support systems, ultimately contributing to improved student performance and academic success. The high accuracy of the predictive model and the feature analysis it provides empower decision-makers in the education sector. This model holds significant potential for applications in student performance monitoring, early intervention, and tailored educational strategies. By adopting a data-driven approach, this work advances the field of educational analytics and contributes to the goal of fostering student success and educational equity. (shrink)

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The (...) evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)

The purpose of this paper is the analysis of both legal and ethical ways of justifying targeted killings. I compare two legal models: the law enforcement model vs the rules of armed conflicts; and two ethical ones: retribution vs the right of self-defence. I argue that, if the targeted killing is to be either legally or ethically justified, it would be so due to fulfilling of some criteria common for all acceptable forms of killing, and not because terrorist activity is (...) somehow distinguished and gives special privileges to a state that fights it. The practical implication of my analysis is that one of the most spectacular targeted killings, which was the targeting and killing of Osama bin Laden in May 2011, was not justified, because it was only supposed to be a retribution for the September 11th terrorist attacks. (shrink)

The Symbolic Scenarios of Islamism initiates a dialogue between the discourse of three of the most discussed figures in the history of the Sunni Islamic movement—Hasan al-Banna, Sayyid Qutb, and Osama bin Laden—and contemporary debates across religion and political theory, providing a crucial foundation upon which to situate current developments in world politics. Redressing the inefficiency of the terms in which the debate on Islam and Islamism is generally conducted, the book examines the role played by tradition, modernity, and (...) transmodernity as major "symbolic scenarios" of Islamist discourses, highlighting the internal complexity and dynamism of Islamism. By uncovering forms of knowledge that have hitherto gone unnoticed or have been marginalised by traditional and dominant approaches to politics, accounting for central political ideas in non-Western sources and in the Global South, the book provides a unique contribution towards rethinking the nature of citizenship, antagonism, space, and frontiers required today. While offering valuable reading for scholars of Islamic studies, religious studies and politics, it provides a critical perspective for academics with an interest in discourse theory, post-colonial theory, political philosophy, and comparative political thought. (shrink)