Web-based Database Courses E-Learning Application

• URL: http://arxiv.org/abs/2212.00104v1
• Date: Wed, 23 Nov 2022 06:40:24 GMT
• Title: Web-based Database Courses E-Learning Application
• Authors: Aaron Paul M. Dela Rosa, Luigi Miguel M. Villanueva, John Mardy R. San Miguel, and John Emmanuel B. Quinto
• Abstract summary: This study was focused on the development of a web e-learning application for the database courses taken by Information Technology (IT) students at the College of Information and Communications Technology of Bulacan State University (BulSU) The Agile Software Development methodology was followed phase by phase, up to the development phase, to develop the system. The application contains quizzes and examinations to allow self-assessment of learning.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This study was focused on the development of a web e-learning application for the database courses taken by Information Technology (IT) students at the College of Information and Communications Technology (CICT) of Bulacan State University (BulSU). The research methodology used in this project was the cross-sectional developmental approach. The Agile Software Development methodology was followed phase by phase, up to the development phase, to develop the system. It was used to produce the desired output rapidly while allowing users to go back through phases without finishing the whole cycle. The goal of this study was to create a web application that teaches Structured Query Language (SQL) in both the MySQL and SQL Server approaches. The application contains quizzes and examinations to allow self-assessment of learning. Additionally, an Entity Relationship Diagram (ERD) simulation was included to provide ERD creations in a drag-and-drop fashion. This study was evaluated using ISO/IEC 25010 software quality evaluation criteria. The study's overall mean was 4.24, 4.41, and 4.33, all with the descriptive meaning of "Very Good," which showed that the system performed its necessary functions as perceived by students, faculty members, and experts, respectively. In summary, the e-learning web application for database courses was fully developed. Moreover, the entity-relationship diagram was integrated well within the system and is accessible to the users. Lastly, respondents evaluated the developed web application using the ISO/IEC 25010 with an overall descriptive interpretation of "Very Good." For future developments of the study, an administrator panel may be developed to manage users and do other administrative tasks. Lastly, higher-order thinking skills questions on assessments and quizzes may be included.

Related papers

• Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL [83.99974309930072]
  Knowledge distillation (KD) is a common approach, which aims to distill the larger teacher model into a smaller student model. We propose to improve the KD with Imperfect Data, namely KID, which effectively boosts the performance without introducing much training budget. KID can not only achieve consistent and significant performance gains across all model types and sizes, but also effectively improve the training efficiency.
  arXiv  Detail & Related papers  (2024-10-15T07:51:00Z)
• EduNLP: Towards a Unified and Modularized Library for Educational Resources [78.8523961816045]
  We present a unified, modularized, and extensive library, EduNLP, focusing on educational resource understanding. In the library, we decouple the whole workflow to four key modules with consistent interfaces including data configuration, processing, model implementation, and model evaluation. For the current version, we primarily provide 10 typical models from four categories, and 5 common downstream-evaluation tasks in the education domain on 8 subjects for users' usage.
  arXiv  Detail & Related papers  (2024-06-03T12:45:40Z)
• Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence [6.638206014723678]
  Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students. This work aims to tackle this limitation by considering the further exploitation of the information gathered by the OJ and automatically inferring feedback for both the student and the instructor.
  arXiv  Detail & Related papers  (2024-01-29T12:11:30Z)
• A Design and Development of Rubrics System for Android Applications [0.0]
  This application aims to provide an user-friendly interface for viewing the students performance. Our application promises to make the grading system easier and to enhance the effectiveness in terms of time and resources.
  arXiv  Detail & Related papers  (2023-09-23T16:14:27Z)
• Empowering Private Tutoring by Chaining Large Language Models [87.76985829144834]
  This work explores the development of a full-fledged intelligent tutoring system powered by state-of-the-art large language models (LLMs) The system is into three inter-connected core processes-interaction, reflection, and reaction. Each process is implemented by chaining LLM-powered tools along with dynamically updated memory modules.
  arXiv  Detail & Related papers  (2023-09-15T02:42:03Z)
• Enhancing E-Learning System Through Learning Management System (LMS) Technologies: Reshape The Learner Experience [0.0]
  This E-Learning System can fit any educational needs as follows: chat, virtual classes, supportive resources for the students, individual and group monitoring, and assessment using LMS as maximum efficiency.
  arXiv  Detail & Related papers  (2023-09-01T02:19:08Z)
• Integrated Educational Management Tool for Adamson University [0.0]
  The developed system automates the processes of examination and student grading. The developed system was tested in Adamson University and evaluated using the ISO 9126 software product evaluation criteria.
  arXiv  Detail & Related papers  (2022-12-12T05:19:37Z)
• Process-BERT: A Framework for Representation Learning on Educational Process Data [68.8204255655161]
  We propose a framework for learning representations of educational process data. Our framework consists of a pre-training step that uses BERT-type objectives to learn representations from sequential process data. We apply our framework to the 2019 nation's report card data mining competition dataset.
  arXiv  Detail & Related papers  (2022-04-28T16:07:28Z)
• Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming [77.38174112525168]
  We present Nemo, an end-to-end interactive Supervision system that improves overall productivity of WS learning pipeline by an average 20% (and up to 47% in one task) compared to the prevailing WS supervision approach.
  arXiv  Detail & Related papers  (2022-03-02T19:57:32Z)
• Wizard of Search Engine: Access to Information Through Conversations with Search Engines [58.53420685514819]
  We make efforts to facilitate research on CIS from three aspects. We formulate a pipeline for CIS with six sub-tasks: intent detection (ID), keyphrase extraction (KE), action prediction (AP), query selection (QS), passage selection (PS) and response generation (RG) We release a benchmark dataset, called wizard of search engine (WISE), which allows for comprehensive and in-depth research on all aspects of CIS.
  arXiv  Detail & Related papers  (2021-05-18T06:35:36Z)
• Query Game 2.0: Improvement of a Web-Based Query Game for Cavite State University Main Campus [0.0]
  The study created a new mechanic and gameplay for the students to learn Structured Query Language. The enhancements also focused on the interactions of one or more students playing the game.
  arXiv  Detail & Related papers  (2020-11-21T06:43:05Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.