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We explore the emergence and growing significance of educational data mining, a field dedicated to extracting valuable insights from vast datasets gathered from diverse educational environments. Utilizing the experience API (XAPI) and the Kalboard 360 online learning platform, our research presents a novel behaviorally based student performance model that evaluates the influence of student interactions on academic results. We create reliable models for precisely projecting academic success by utilizing machine learning techniques including logistic regression, k-nearest neighbors (KNNs), support vector machines (SVM), decision trees, random forests (RF), and XGBoost. The outcomes show a notable increase in categorization accuracy. Through the personalization of instruction, formative assessment support, and proactive identification of each student's unique needs to maximize their learning experience, this approach holds the potential to improve educational processes. [ABSTRACT FROM AUTHOR]

Within the rapidly evolving landscape of wireless communication technologies, this scientific paper delves into an innovative approach by exploring the integration of the Bluetooth frequency band into a circular antenna design. Leveraging the capabilities of metamaterials. The Bluetooth frequency band a cornerstone for short-range communications, takes center stage in our study. Traditionally associated with wireless connectivity in diverse applications, its integration into a circular antenna structure opens up new avenues for optimizing performance and functionality. Our research aims to not only enhance the efficiency of short-range communication systems but also contribute to the broader discourse on antenna design evolution. The computer simulation technology (CST) studio suite is utilized to show the recommended antenna design. By scrutinizing the symbiotic relationship between the Bluetooth frequency band and the circular antenna augmented with metamaterial, our study endeavors to push the boundaries of current design paradigms. We believe that this exploration will not only address the contemporary challenges associated with wireless communication but also pave the way for the development of more sophisticated, adaptable, and compact devices in the ever-expanding realm of telecommunications. [ABSTRACT FROM AUTHOR]

The design of an engaging and motivating serious game (SG) requires a strong knowledge of learning domain, pedagogy, and game design components, which are hard to be found and restrained by an individual or one entity Therefore and in the light of this statement, the collaboration between domain content, pedagogical, and playful experts is required and crucial. Despite the fact that the existing models that support SG design are intended to have a combination of learning and fun, the design of SG remains difficult to achieve. It would then be appreciated to propose means and guidelines that facilitate this design. To do so, this paper proposes a taxonomy, which classifies models that treat SG design, and then presents an opening as a functional architecture for supporting SG conception, which promotes the separation during the design, the collaboration between different involved experts, and the reuse of prior expert productions., 1. Introduction The human evolution depends on how much importance is given to knowledge inter-generation transfer by taking into consideration individual characteristics as well as environment changes for each generation [...]