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Title: Building software for preschool with data analytics and machine learning
Authors: Chew, Harris Rezal
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Chew, H. R. (2022). Building software for preschool with data analytics and machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: The 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.
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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