Next generation tutor-matching and education platform

Within the rapidly growing supplementary education industry in Singapore lies significant inefficiencies and practices that do not meet the needs of the modern world. Learnable was proposed as a next generation tutor-matching and education platform with a large emphasis providing parents and tutors...

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主要作者: Chang, Callista Rossary
其他作者: Kong Wai-Kin Adams
格式: Final Year Project (FYP)
语言:English
出版: Nanyang Technological University 2022
主题:
在线阅读:https://hdl.handle.net/10356/162706
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author Chang, Callista Rossary
author2 Kong Wai-Kin Adams
author_facet Kong Wai-Kin Adams
Chang, Callista Rossary
author_sort Chang, Callista Rossary
collection NTU
description Within the rapidly growing supplementary education industry in Singapore lies significant inefficiencies and practices that do not meet the needs of the modern world. Learnable was proposed as a next generation tutor-matching and education platform with a large emphasis providing parents and tutors the necessary tools to improve learning outcomes for children in Singapore. At Learnable's core is a search engine and marketplace that allows tutors to advertise their services, and parents to choose the most suitable tutor for their children. Robust filters and performance-based search ranking algorithms were developed to incentivize tutors to perform their best, and for parents to find the closest fit for their children. Learnable provides a one-stop platform for tutors to manage their students, assignments, lessons and payments, relieving tutors of the hefty administration work that typically comes with tutoring. Similarly, Learnable provides a platform for parents to manage their children's supplementary education needs, and keep track of their children's learning progress via the qualitative and quantitative data gathered on the platform. Other modern features on Learnable include one-click cashless payments, automated invoices, data-driven dashboards, online assignment creation and grading, scheduling, and more. Artificial intelligence was used to aid the outcomes of the project, using sentiment analysis to detect toxicity and harassment in the platform and optical character recognition to extract text from uploaded proof documents.
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spelling ntu-10356/1627062022-11-07T05:30:28Z Next generation tutor-matching and education platform Chang, Callista Rossary Kong Wai-Kin Adams School of Computer Science and Engineering AdamsKong@ntu.edu.sg Engineering::Computer science and engineering::Computer applications Within the rapidly growing supplementary education industry in Singapore lies significant inefficiencies and practices that do not meet the needs of the modern world. Learnable was proposed as a next generation tutor-matching and education platform with a large emphasis providing parents and tutors the necessary tools to improve learning outcomes for children in Singapore. At Learnable's core is a search engine and marketplace that allows tutors to advertise their services, and parents to choose the most suitable tutor for their children. Robust filters and performance-based search ranking algorithms were developed to incentivize tutors to perform their best, and for parents to find the closest fit for their children. Learnable provides a one-stop platform for tutors to manage their students, assignments, lessons and payments, relieving tutors of the hefty administration work that typically comes with tutoring. Similarly, Learnable provides a platform for parents to manage their children's supplementary education needs, and keep track of their children's learning progress via the qualitative and quantitative data gathered on the platform. Other modern features on Learnable include one-click cashless payments, automated invoices, data-driven dashboards, online assignment creation and grading, scheduling, and more. Artificial intelligence was used to aid the outcomes of the project, using sentiment analysis to detect toxicity and harassment in the platform and optical character recognition to extract text from uploaded proof documents. Bachelor of Engineering (Computer Science) 2022-11-07T05:30:27Z 2022-11-07T05:30:27Z 2022 Final Year Project (FYP) Chang, C. R. (2022). Next generation tutor-matching and education platform. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162706 https://hdl.handle.net/10356/162706 en application/pdf Nanyang Technological University
spellingShingle Engineering::Computer science and engineering::Computer applications
Chang, Callista Rossary
Next generation tutor-matching and education platform
title Next generation tutor-matching and education platform
title_full Next generation tutor-matching and education platform
title_fullStr Next generation tutor-matching and education platform
title_full_unstemmed Next generation tutor-matching and education platform
title_short Next generation tutor-matching and education platform
title_sort next generation tutor matching and education platform
topic Engineering::Computer science and engineering::Computer applications
url https://hdl.handle.net/10356/162706
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