Liverpool John Moores University (UNITED KINGDOM)
About this paper:
Appears in: EDULEARN22 Proceedings
Publication year: 2022
Pages: 3751-3760
ISBN: 978-84-09-42484-9
ISSN: 2340-1117
doi: 10.21125/edulearn.2022.0916
Conference name: 14th International Conference on Education and New Learning Technologies
Dates: 4-6 July, 2022
Location: Palma, Spain
Machine learning and rule-based systems are used to make implications from a range of stored data. Both approaches have their strengths and weaknesses; therefore, choosing the appropriate system is crucial. The system that is developed is a rule-based online interactive system built for schools to manage their students in three different areas, admission, levelling, and differentiation. The web-based student levelling system can be accessed from anywhere globally and through any browser. As the system is planned to be built using the bootstrapping framework, the web solution will automatically adjust to the screen sizes of the devices. This Solution helps save the complete information of students whilst analysing the student background of education, thereby proposing their eligibility, predicting the students’ performance and being a robust platform allowing further development by adding new modules to the system. The Cloud web application is developed module-based using HTML, CSS, JavaScript, and PHP on a virtual machine based on CentOS Linux Machine.
Education, Student levelling, Web-based system, Framework.