Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChew, Harris Rezalen_US
dc.identifier.citationChew, H. R. (2022). Building software for preschool with data analytics and machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractThe majority of preschool school operators in Singapore have already embraced digital technologies, including preschool management systems, to assist their business operations. A significant amount of information regarding the student's growth and school operations would have been gathered during the course of the preschool's years of operation. In order to increase the value of their business, operators are seeking ways to mine the data and make sense of it. The author (from here onwards known as “NTU Team'‘) has partnered with Company ABC to design and develop an interactive curriculum module and data analytic module that integrates with the legacy system. The interactive curriculum module, which integrates into their existing parent’s mobile application, analyses the student’s development areas to provide meaningful statistics and recommendations for parents to have a better understanding of their student. The data analytic module, which integrates into their existing staff web portal, provides insights to the preschool operators based on their current operating system. The new modules are deployed to one of Company ABC clients for a trial. The initial results from the user feedback are positives.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleBuilding software for preschool with data analytics and machine learningen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorKong Wai-Kin Adamsen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
item.fulltextWith Fulltext-
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
  Restricted Access
3.02 MBAdobe PDFView/Open

Page view(s)

Updated on Feb 28, 2024


Updated on Feb 28, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.