Computer Engineering / Software

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https://hdl.handle.net/20.500.11888/10125

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    MACHINE LEARNING ALGORITHMS FOR PREDICTING STUDENTS' ACADEMIC PERFORMANCE IN EDUCATIONAL
    (An-Najah National University, 2025-06-21) Salmiyah,Fatimah
    Student performance prediction has been one of the important works in educational data mining, due to the possibility of early detection, intervention, and informed decision-making in academics. The purpose of this study is to improve the accuracy of predicting student performance by using seven machine learning models—Decision Tree, Random Forest, Linear Regression, Neural Network, Support Vector Machines (SVM), Logistic Regression, Naive Bayes and five feature selection techniques : Particle Swarm Optimization (PSO), Lasso, Wrapper Method, SelectKBest and SelectPercentile. The research investigates how student outcomes are associated with such factors as previous educational experience, parental education, past educational failures, attendance, residence and participation in extra-curriculum activities. The results show that Linear Regression combined with SelectKBest achieved the highest accuracy of 93.5% . The performance of the model was further optimized by hyperparameter tuning (GridSearchCV) and k-fold cross-validation, which increased both prediction accuracy and model robustness. The results highlight the role of feature selection in maximizing model performance and offer practical guidance for higher education institutions interested in implementing predictive analytics to enhance student success.
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    EduPro
    (2025) Dima Eid; Sema Hodali
    EduPro is an educational and social media platform that supports microlearning principles. We have created this project to serve students and experts in our community in the fi rst place and people all around the world. EduPro has three users, the admin has full view and control of the system. Students can learn many skills through courses, test their understanding with quizzes, track their progress, chat with others, follow their tutors, and add reminders. Tutors can perform all user actions in addition to creating posts, and courses which is the core feature of the project. Tutors have the fl exibility to create many sections inside courses that may include videos, documents, quizzes, and coding exercises, also they have the guidance to do so. They can interact with their students by creating posts others can comment on or like, also they have profi les so users can view their courses and general info. Our chatting system supports sharing documents and photos. We developed using a combination of modern technologies, including TypeScript for frontend and Django for the backend. Our Project has a creative and interactive user experience and a friendly user interface. User has access to the same features seamlessly on both web and mobile applications.
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    Quran sensoryREADY
    (2025) Mai Salameh; Fatina Al Taher
    Technology has been infused into education in the past years, which has completely changed the ways children learn, interact, and engage with information. Nevertheless, a lot of modern tools, such as computers and tablets designed for older children, do not take into account younger children ages 3 to 12 and their unique sensory, cognitive, and developmental needs. This gap in educational technology is especially pertinent within special education and religious learning, early childhood development, and early childhood care. In response to these hurdles, SensoryREADY has been developed as a communication platform that is customizable, interactive, and sensory-friendly, providing help in various learning environments. With its use by teachers, therapists, and parents, the platform enhances learning and communication for children who require strong, structured, visual, and auditory stimuli. One of the key innovations of SensoryREADY is its Controller-Receiver-User model, which guarantees a combination of high flexibility alongside low intuitive interaction. Adaptive learning interventions can be gained from this model, which are crafted to the needs of every single child. The app’s modern educational techniques make it stand out and provide purpose alongside the more advanced applications. Alongside the more advanced applications for the Quran, the app serves as a purpose-built aid for kids and adults, memorizing and reciting the Quran.
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    Sewing Scope
    (2025) Marah Raed Qad; i Leen Majdi Fahed
    The fast-paced fashion industry demands efficiency in managing client interactions, measurements, orders, and designer collaboration. To address these challenges, we present an integrated application tailored for fashion designers to streamline their workflow. This application facilitates communication with clients and other designers, enables the posting of designs and sharing of fashion tips, supports client chats and order management, records body measurements and design-related data, and schedules virtual meetings. Additionally, it allows for quick sketching of client orders, order planning with reminder notifications, and effective material resource management through a fabric inventory tracker. By implementing these features across both mobile and web platforms, we aim to enhance the productivity and organization of fashion designers, fostering a more efficient and collaborative design process. Furthermore, a complementary desktop application will provide tools for dynamic design visualization and pattern creation, allowing users to upload or create new patterns with precise adjustments, ensuring alignment with the designer's vision. The output can be saved for future use or converted into a 3D version, offering a comprehensive solution for modern fashion design needs.
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    craftBlend
    (2025) Masa Lubbadeh; Raya Hindi
    In the last few years, we noticed that people tend to open their own businesses and started promoting their work on social media. At the beginning, it was very effective, convenient and their content reached the targeted audience. This tempted many people to start their own businesses, which has led to an increase in the number of small business accounts on social media, resulting in businesses facing increasing pressure to have a widespread online presence. Our project’s objective is to develop a user-friendly platform for small businesses, giving them their own space to display and sell their work. By providing a platform customized to their needs, we aim to help these businesses grow and reach a wider audience. The platform will also organize the process of handling customer orders, ensuring efficiency and convenience for both the business owner and the customer. We offer many features in our project, customers will be able browse through different categories, when they select their preferred category, the platform will display all the small business accounts available under that category. Customers can then explore the work of each business, view products, check details, and place orders directly. Additionally, customers will have the option to place special or custom orders, allowing them to request personalized products according to their preferences. Moreover, customers will have the option to interact with the business owners, ask questions, and leave feedback or reviews. There are many applications today that focus on specific industries or individual businesses, but our project is designed to serve a broader range of small enterprises. Many of these businesses would need to create their own applications to meet their unique needs, which can be both time-consuming and costly. Our project simplifies this process by offering a flexible platform that allows small businesses to easily join our system, providing them with the tools they need to increase their visibility and manage orders efficiently.