Web-Based Self-Learning System with Progress Report for Students with Special Needs for Senior High School
Alex Facelo
Discipline: Education
Abstract:
This study aim is to create a Web-based Self Learning System with Progress Report for Students with
Special Needs for Senior High School. The self-directed learning system provides context- based
learning with video recorded sign language interpreter on MIL subject for Students with hearing
impairment. The system provides a pre-test and post -test assessment with prediction algorithm using
decision tree learning. The system predicts the learner’s status and provides learners progress
reports.The system was developed using PHp, HTML, CSS, Javascript and My Sql. The system was
evaluated by Three (3) IT Experts using SQuaRE Quality Model with the overall mean score of 3.88
which interpreted as “Very good” in terms of quality. It was also evaluated by selected two SPED
Teacher, eight SPED Students and three (3) Quality Assurance Specialist using Evaluation sheet for
general reference materials from DepEd with an overall mean score of 34.65 which means that the
system is “PASSED” in general reference material evaluation. It greatly helps the student with special
needs to improve their comprehension and mastery of the applied subject.
References:
- Abdul Jalil Toha Tohara, e. a. (2021). Exploring Digital Literacy Strategies for Students with Special Educational Needs in the Digital Age.
- Almaiah, M. A.-K. (2020). Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Educ Inf Technol.
- Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education.
- Anjeela Jokhan, B. S. (2018). Early warning system as a predictor for student performance in higher education blended courses. Dimah Al-Fraihat, M. J. (2020). Evaluating E-learning systems success: An empirical study. Science Direct.
- Edwards, L. (2022, August 5). What is Google Classroom? Retrieved from TechLearning: https://www.techlearning.com/features/what-is-googleclassroom
- Geng, S. L. (2019). Investigating self-directed learning and technology readiness in blending learning environment. Li, S. Z. (2022). E-Learning during COVID-19: perspectives and experiences of the faculty and students. BMC Med Educ.
- Maatuk, A. E. (2022). The COVID-19 pandemic and E-learning: challenges and opportunities from the perspective of students and instructors. Comput High Educ, 21-38.
- Rabayah, K. A. (2022). Learners’ engagement assessment in e learning during the COVID-19 pandemic: nation-wide exploration. Educ Inf Technol.
- Rebecca M. Logan, C. E. (2021). Development of an e-learning module to facilitate student learning and outcomes. ScienceDirect.
- Salloum, A. e. (2021). Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model. 8th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE).
- Tang, T. (2020). Efficiency of flipped classroom with online-based teaching under COVID-19.