DEVELOPMENT OF E-LEARNING APPLICATIONS WITH AUTOMATIC ASSESSMENT FEATURES

Abstract

Goal: If a teacher is absent and the school's learning time is restricted, the educational process will inevitably be disrupted. To address this, innovative concepts and techniques have been introduced to supplement traditional classroom-based teaching methods. One such modern approach is e-learning. E-learning facilitates the distribution of teaching materials via the internet, enabling teachers to provide instruction without being physically present in the classroom, thus optimizing limited classroom time. In developing this e-learning system, the Waterfall method was employed for information system development, utilizing PHP for scripting and MySQL for data retention. This online course platform enhances the process of learning by making it greater effectiveness, allowing teachers to easily share materials with students, and enabling students to access these resources effortlessly. Additionally, the e-learning website supports the administration of multiple-choice exams and the submission of assignments.

Benefit: The benefit of the proposed work is to enable educators and learners to streamline the assessment process and enhance the effectiveness of online learning experiences. By incorporating automatic assessment features into the e-learning application, learners can receive timely feedback on their progress, while educators can save time on grading tasks and focus more on guiding and supporting learners.

Method: The approach utilized to achieve the project goal is by leveraging machine learning algorithms for automatic assessment, integrating natural language processing techniques for analyzing text-based responses, and implementing adaptive assessment mechanisms for personalized feedback delivery.