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Learning Analytics Usability Factors Towards Learner Performance Assessment – A Review Of Literature

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Authors: Mohammed Swaleh Mohammed, Alice Nambiro, Bostley Muyembe Asenahabi, Eric Sifuna

Abstract: The Covid-19 pandemic significantly accelerated the adoption of e-learning, resulting in increased investment in digital education platforms and the generation of vast amounts of learner data, commonly referred to as big data. This shift has propelled the development of learning analytics, a field focused on the systematic collection, analysis, and reporting of data to better understand learner behavior and enhance educational outcomes. Despite growing interest in learning analytics, there remains limited understanding of its usability, particularly in assessing student performance within virtual learning environments. This paper presents a critical literature review examining the usability factors of learning analytics in the context of Kenyan universities. Using a desktop research approach, the study synthesizes existing research to identify key gaps and highlight usability dimensions relevant to performance assessment. The review identifies four primary factors influencing the usability of learning analytics tools: perceived usefulness, perceived ease of use, user satisfaction, and learnability. These findings provide a foundation for future empirical studies aimed at evaluating the impact of these factors on learner performance in virtual settings.

DOI: http://doi.org/10.5281/zenodo.17158417

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Topic:Integration Of IoT With AI And ML

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Authors: Sm Hassab Qais

Abstract: In recent years, the Internet has become an important part of daily life for people all over the world. On the other hand, with the increase in online activities, cyber crimes are also increasing. Cybersecurity has made great strides in recent years to keep up with the rapid changes in cyberspace. Cybersecurity refers to the procedures a country or organization can use to protect its assets and information in cyberspace. Twenty years ago, the term "cybersecurity" was not recognized by the public. Cybersecurity affects not only individuals but also organizations or governments. In recent years, everything has become digital using various technologies such as cybernetics, cloud computing, smartphones and Internet of Things technology. Cyber attacks raise concerns about privacy, security and financial compensation. Cybersecurity is a set of technologies, processes and practices designed to prevent attacks, crimes and unauthorized access to networks, computers, processes and system information. The main purpose of this article is to provide an overview of cyber security types, why cyber security is important, cyber security methods, cyber security tools and cyber security issues. Cybersecurity protects the data and integrity of the organization's network or computing assets to protect them from threats throughout the life of a cyber attack.

 

 

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The Future of Cybersecurity and the Challenges It Presents

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Authors: Minal Jain, Mr.Aaron Dlima

Abstract: In recent years, the Internet has become an important part of daily life for people all over the world. On the other hand, with the increase in online activities, cyber crimes are also increasing. Cybersecurity has made great strides in recent years to keep up with the rapid changes in cyberspace. Cybersecurity refers to the procedures a country or organization can use to protect its assets and information in cyberspace. Twenty years ago, the term "cybersecurity" was not recognized by the public. Cybersecurity affects not only individuals but also organizations or governments. In recent years, everything has become digital using various technologies such as cybernetics, cloud computing, smartphones and Internet of Things technology. Cyber attacks raise concerns about privacy, security and financial compensation. Cybersecurity is a set of technologies, processes and practices designed to prevent attacks, crimes and unauthorized access to networks, computers, processes and system information. The main purpose of this article is to provide an overview of cyber security types, why cyber security is important, cyber security methods, cyber security tools and cyber security issues. Cybersecurity protects the data and integrity of the organization's network or computing assets to protect them from threats throughout the life of a cyber attack.

 

 

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Review On Stabilization Of Clayey Soil Using Industrial Waste Products

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Authors: Neha Dongre, Dr.SunilSugandhi

Abstract: Soil stabilization can be explained as the alteration of the soil properties by chemical or physical means in order to enhance the engineering quality of the soil. The main objectives of the soil stabilization is to increase the bearing capacity of the clay soil, it’s resistance to weathering process and soil permeability. The long-term performance of any construction project depends on the soundness of the underlying soils. Unstable clay soils can create significant problems for pavements or structures, Therefore soil stabilization techniques are necessary to ensure the good stability of clay soil so that it can successfully sustain the load of the superstructure especially in case of clay soil which are highly active, also it saves a lot of time and millions of money when compared to the method of cutting out and replacing the unstable soil. This paper deals with the complete analysis of the improvement of clay soil properties and its stabilization using industrial waste sand and lime. The experimentation is carried out keeping 20% of lime as constant and industrial waste sand 10%, 20%and 30%. Disposal of these waste materials is essential as these are causing hazardous effects on the environment. With the same intention literature review is undertaken on utilization of solid waste materials for the stabilization of soils and their performance is discussed

 

 

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Assessment Of Combined Antibacterial Activity Of Tridax Procumbens And Lantana Camara Leaf Extracts.

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Authors: Maurya Kiran M, Gadekar Mayuri N, Davkhar Kalyani U, Kadbhane Ashwini S

 

Abstract: This study investigated antibacterial activity of two medicinal plants: Tridax procumbens, and Lantana camara; they are common weeds often found in cultivated areas and wastelands, and hold significant importance in traditional Indian medicine. These plants are rich in a diverse array of secondary metabolites, including tannins, flavonoids, alkaloids, saponins, phenols, steroids, anthocyanins, proteins, and carbohydrates. These secondary metabolites are extracted using Soxhlet’s method and ethanol as a solvent. Screening of plants' phytochemicals is done as per standard protocol. In vitro, antimicrobial activity was assessed using the well diffusion method. The antibacterial activity of Ethanol extracts of these two plant leaves was evaluated against disease-causing bacteria, including Staphylococcus aureus., Escherichia coli, Pseudomonas aeruginosa, Streptococcus sp., and Klebsiella pneumoniae Combined ethanolic plant extracts exhibited maximum antibacterial activity compared to the individual plant extracts.

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Loading Analysis of Two Different Light Weight Steel Structure and Observations It\’s Loading

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Authors: Rajnandanikoshti, Assistant professor Anubhav Rai

Abstract: The Calibration and testing of light weight structure are very important part for building design. However proposed work is belongs for a different types of steel structure analysis. In this proposed steel structures main focus to reduce of total weight and easily design. Now these research work identification of best light weight structures using staad pro software. The main object of this work design a steel frames and compare both structures

 

 

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Hybrid Cnn-Gru Model with Residual Connections for Multi-Class Fault Detection In Industrial Systems

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Authors: S.Radha Krishnan, Assistant Professor,M.Aishwarya, Dr.R.Natarajan

Abstract: Fault detection in industrial systems is crucial for ensuring operational safety, minimizing downtime, and reducing maintenance costs. This work proposes a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU) to detect and classify machine faults from time-series data. The CNN layers extract spatial features, while GRU layers model temporal depen,dencies in the data. The architecture incorporates residual connections to enhance gradient flow and improve learning efficiency. The model is evaluated on multi­ class fault detection datasets, achieving robust performance with high accuracy, precision, recall, and F1-score. Advanced metrics, including ROC-AUC, logarithmic loss, Cohen's Kappa, and Matthews Correlation Coefficient, demonstrate the model's reliability. Visualization of confusion matrices and detailed performance metrics validates its effectiveness in detecting anomalies and classifying fault types. This approach can be generalized for real-time monitoring systems in various industrial applications, ensuring predictive maintenance and operational excellence.

 

 

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Transforming Beauty And Wellness: A Case Study Of TikishNutra’s E-Commerce Model

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Authors: Abhishek Baghel, Usha Dhankar Vicky Mona

Abstract: The beauty and wellness industry is undergoing a dynamic transformation driven by changing consumer behaviors increased digital engagement and rising demand for natural and personalized solutions. As traditional retail models struggle to keep pace with these evolving expectations e-commerce has emerged as a critical enabler of growth and accessibility. This research focuses on the conceptualization and development of an e-commerce solution specifically tailored to the beauty and wellness sector. The study aimed to address the need for seamless product discovery transparency and convenience by integrating modern design practices with personalized shopping experiences. A user-centric approach was adopted to incorporate features such as secure payment systems high-speed delivery services product transparency and user reviews. The platform emphasizes accessibility for a diverse consumer base and delivers intuitive navigation and personalized recommendations to support informed decision-making. Additionally the inclusion of virtual assistance and educational features helps users better understand product ingredients usage and wellness practices. The methodology involved analyzing current market challenges identifying user needs and designing a scalable modular system architecture supported by modern web technologies. Results demonstrate the potential of digital platforms in building trust improving customer retention and delivering a holistic shopping experience in a competitive market. The study concludes by showcasing a case implementation that reflects these design and functionality goals offering a practical example of how digital transformation can reshape customer engagement in the beauty and wellness domain

DOI: https://doi.org/10.5281/zenodo.16595853

 

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Structural Evaluation Of Tall Buildings Using Ferroconcrete And Steel-Timber Hybrid Systems Under Lateral Loads In ETABS

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Authors: Pavan Patel, Rahul Kumar Satbhaiya

 

Abstract: In a densely populated and rapidly urbanizing country like India, the construction of multistorey buildings is essential to meet increasing housing and infrastructure demands. These structures are often subjected to lateral forces, which act horizontally and can significantly affect their performance. Such forces primarily include wind loads and seismic activity, both of which can cause structural deflection, instability, or even failure if not adequately addressed. To ensure buildings can withstand these lateral effects, advanced structural analysis tools like ETABS are employed. ETABS is a comprehensive software used for modeling, analysis, and design of buildings in compliance with national and international codes. It provides accurate simulations of how structures respond to various loading conditions, making it ideal for evaluating complex buildings. Hybrid structural systems, which combine different construction materials, are gaining popularity for enhancing structural performance. One common and effective hybrid combination is steel and concrete, which leverages the tensile strength of steel and the compressive strength of concrete. Steel is especially favoured for its high load-carrying capacity and fast construction capabilities, and when integrated with other materials such as timber or ferrocement, it helps overcome limitations inherent to individual materials. This study investigates a G+7 storey steel-timber hybrid building reinforced with ferroconcrete (wire mesh embedded in concrete). A three-dimensional static analysis is performed using ETABS to assess the building’s structural behavior. The study focuses on key parameters such as maximum nodal displacement, bending moment, shear force, axial force, and storey drift to evaluate the effectiveness of the hybrid system under lateral loading conditions

DOI: https://doi.org/10.5281/zenodo.16595886

 

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Structural Evaluation Of Tall Buildings Using Ferroconcrete And Steel-Timber Hybrid Systems Under Lateral Loads In ETABS: A Review_655

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Authors: Pavan Patel, Rahul Kumar Satbhaiya

Abstract: This paper reviews the structural evaluation of tall buildings using Ferro concrete (reinforced concrete) and steel-timber hybrid systems under lateral loads, emphasizing seismic and wind forces. With the growing need for sustainable and high-performance building materials, steel-timber hybrids present a viable alternative to conventional RCC systems. Using insights from past research and simulation tools like ETABS, the study analyses lateral load performance, energy dissipation, environmental benefits. The review highlights key developments, identifies research gaps, and suggests future directions for adopting hybrid systems in Indian structural design

 

 

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