Journal of Innovative Technology Convergence
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111 research outputs found
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Predictive Analysis Application for Academic Student Advancement in Secondary Education Institutions
The study developed a Predictive Analysis Application for Academic Student Advancement at Dr. Josefa Jara Martinez High School (DJJMHS) to manage school forms and data records centrally. This system offers real-time attendance tracking, academic progress reports, prediction, visualization, staff performance monitoring, and report generation. It ensures secure network connections and improved security measures while presenting all functions through a user-friendly interface. Developed using HTML5, CSS3, JavaScript, and Python-MySQL, the system facilitates the issuance and processing of various school forms. Through two testing cycles, it demonstrated functionality and reliability, receiving a "Very Good" rating from 30 respondents. This indicates accurate and dependable access to end users\u27 data and services through the system
Smart Educational Resource Management: A QR Code-Enabled System with Notification and Alerting Capabilities
Effective management of educational resources is crucial for ensuring the quality of learning outcomes. However, traditional systems often rely on manual processes, leading to inefficiencies, errors, and delays. This paper presents a novel QR Code-Enabled Educational Resource Management System that leverages Quick Response (QR) codes to streamline these processes. The proposed system uses QR codes to track the availability and location of resources such as textbooks and equipment. Students and teachers can scan these codes with mobile devices to access relevant information, including resource availability, location, and usage history. Additionally, the system features notifications and alerting capabilities that remind users when resources are due or inform them of changes in availability. The system was evaluated using the ISO/IEC 25010 Model Quality Characteristics Framework, which includes functional suitability, performance efficiency, compatibility, usability, reliability, portability, and maintainability. Results indicate high levels of quality in use, with excellent performance efficiency, security, compatibility, reliability, and maintainability. This study demonstrates the potential of the QR Code-Enabled Educational Resource Management System to enhance the effectiveness and efficiency of educational institutions. The system\u27s notification and alerting capabilities can further improve student engagement and motivation by providing timely reminders and updates on resource availability
Digital Education Revolution: Evaluating LMS-based Learning and Traditional Approaches
This paper explores the comparative examination between online learning facilitated by Learning Management Systems (LMS) and conventional learning environments, focusing on accessibility, interactivity, assessment techniques, and resource utilization. Online learning, made possible by LMS platforms, provides unparalleled flexibility, allowing learners to access course materials from any location, at any time, and using any device, thus overcoming geographical and physical barriers. Moreover, digital platforms encourage active engagement through multimedia content and collaborative tools, fostering critical thinking and peer interaction. Assessment methods in LMS-based online learning offer a variety of options, including immediate feedback features that enhance personalized learning experiences. Additionally, digital education prioritizes resource efficiency and sustainability by reducing reliance on physical materials and promoting scalability. While traditional learning environments offer in-person interaction and hands-on experiences, they are often limited by geographical constraints and infrastructure issues. The paper underscores the transformative potential of LMS-enabled online learning, providing a dynamic and accessible educational approach conducive to student success and lifelong learning
Streamlining Faculty Evaluations: A Web-Based System for Enhanced Efficiency and Data-Driven Insights
Faculty evaluation is critical for improving teaching and student learning. Traditional methods, often reliant on student surveys, lack detail, and miss perspectives. This paper explores a Web-based Faculty Evaluation System (WFES) that leverages collaborative feedback to enhance teaching quality. The proposed WFES goes beyond traditional methods by incorporating multiple sources. It facilitates online student feedback through targeted surveys, self-reflection tools, and potentially integrated peer observation. This enriches the evaluation process with diverse viewpoints. A key benefit is efficient data collection. Online surveys and self-reflection tools reduce administrative burdens and streamline evaluation. Data analysis can identify areas for improvement, inform professional development, and target feedback for faculty. The collaborative nature fosters a culture of continuous improvement. By incorporating student, potentially peer, and self-reflection feedback, the system provides valuable insights for faculty, leading to more informed teaching practices and ultimately benefiting student learning. This research evaluates the implemented WFES using the ISO/IEC 25010 model. A web-based survey gathered feedback from a diverse group. The evaluation yielded promising results, with the WFES achieving a high overall score. However, areas for improvement in resource utilization and user interface design were identified. This research informs future development strategies to refine functionalities, enhance user experience, and ultimately strengthen faculty evaluation effectiveness
Data-Driven Water Monitoring System with Descriptive Analytics for Aquaculture Prawn Farms
This study aimed to develop a data-driven water monitoring system with descriptive analytics for aquaculture prawn farms. This system was designed to automate the monitoring of the water quality of the prawn farm so as to minimize labor and time spent for manually testing the water. Utilizing a rapid prototyping methodology, which is a rapid or quick creation of a prototype or a physical model of a device used in the development of a project, the said monitoring system was evaluated through a comparative analysis between the data gathered manually and the data collected by the monitoring system. To ensure reliability and validity of this monitoring system, it was used various times over several consecutive days. Also, a t-test was used to determine the significant differences between manual and system readings. Findings of the study showed that the designed water monitoring system provided accurate results, and the objectives of the study were met, particularly in terms of integrating a Raspberry Pi 3 microprocessor to automate the system in monitoring the water quality. It was also found out that the use of different sensors to test the water condition in terms of its temperature, pH level, salinity, dissolved oxygen, and turbidity was accurate. Furthermore, the system also met its objective of developing an Android mobile application to monitor the status remotely. With this, it is recommended for prawn farmers to utilize the system (with internet connectivity) for their efficient water quality management and to improve their remote monitoring capabilities
Development of an Academic Performance Monitoring System Using Least Squares Regression for Predicting Student Academic Performance Status on Professional Courses
This study deals with the development of an academic performance monitoring system using least squares regression to predict a student’s academic performance status on professional courses. The proposed system monitors the student’s academic performance to promote education and achieve learning outcomes. The study aims to design and create a Graphical User Interface (GUI) and its functions, to utilize MATLAB for forecasting and a least squares regression model to show and predict the relationship between two factors, and to evaluate the system’s predicting accuracy using Percentage Forecast Error (PFE) and Mean Absolute Percent Error (MAPE) to compare actual and forecasted data for every semester. The sample size includes 182 students of BS Information Technology, of whom thirteen (13) were successfully chosen using simple random sampling with their GPAs for the purpose of predicting future academic performance
A Review of Interactive Multimedia Systems for Education
Interactive multimedia systems have revolutionized the landscape of education by providing engaging and immersive learning experiences. The design and use of interactive multimedia systems in educational settings are examined in this paper. It explores the advantages, difficulties, and best practices related to using multimedia components to improve teaching and learning. The study addresses several interactive multimedia technologies, including gamification, simulations, augmented reality, and virtual reality, as well as their uses in a variety of educational settings. It also looks at pedagogical factors, evaluation techniques, and future perspectives for the successful design and implementation of interactive multimedia systems in educational situations
Innovative Content Generation: Leveraging GPT-3 Language Capabilities
This study explores the utilization of OpenAI\u27s GPT-3 in innovative content generation, leveraging its unparalleled language capabilities. GPT-3 represents a milestone in AI development, building upon earlier models like BERT and OpenAI\u27s GPT series, propelled by the transformer architecture. The study aims to unravel the mechanisms underlying GPT-3\u27s content creation process, assessing its strengths, limitations, and optimal use cases. By examining its efficacy across various domains and genres, from articles to poetry, GPT-3\u27s versatility and potential impact are showcased. Ethical considerations surrounding AI-generated content are also explored. The investigation underscores the transformative potential of GPT-3 in augmenting content creation practices worldwide, where AI-powered tools complement human creativity, fostering innovation and expression
Leveraging the Features of Multimedia Technologies in Enhancing Vocabulary Learning
Nowadays, the use of technology has become essentially important in language learning. In addition, language teachers must possess a technological toolkit of applications, websites, and multimedia applications that can help save time and provide variability and flexibility to engage learners with any material that they study. This study aims to provide innovative methods for learning English vocabulary by leveraging the features and advantages of multimedia technologies. The different tools and technologies will be presented to enable effective vocabulary development for learners and equip teachers with high-level assistive technologies
Challenges and Opportunities in QoS Enhancement for Internet-Based Multimedia Communication
Advancements in communication technologies have fueled the rapid expansion of the multimedia content delivery market, encompassing various media types such as images, audio, and video. Personal communication, computing, broadcasting, and entertainment heavily rely on multimedia content, which is transmitted through diverse communication and network technologies to reach a wide range of devices. QoS requirements for multimedia services are determined by parameters including bandwidth flexibility, low end-to-end delay, minimal delay variation, and acceptable error rates. These parameters are interconnected and vary depending on the type of multimedia application. However, the QoS needs of multimedia communications cannot be fully met by the internet\u27s basic infrastructure. Mechanisms for ensuring QoS guarantees over the Internet have been developed through extensive research and development. This study examines developments, difficulties, and strategies for improving the transmission of multimedia content over the Internet, providing an overview of the methodologies and strategies used to satisfy QoS criteria in multimedia communications