Analysis of online posts to discover student learning challenges and inform targeted curriculum improvement actions

Analysis of online posts to discover student learning challenges and inform targeted curriculum improvement actions

Past research on analysing end-of-term student feedback tend to result in only high-level course improvement suggestions, and some recent research even argued that student feedback is a poor indicator of teaching effectiveness and student learning. Our intelligent Q&A platform with machine learn...

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Bibliographic Details
Main Authors: CHEONG, Michelle L. F., CHEN, Jean Y. C., DAI, Bingtian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
online posts
Q&A platform
learning challenges
topic level curriculum improvement
Computer Sciences
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/5911
https://ink.library.smu.edu.sg/context/sis_research/article/6914/viewcontent/Analysis_of_online_posts_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/5911
https://ink.library.smu.edu.sg/context/sis_research/article/6914/viewcontent/Analysis_of_online_posts_av.pdf

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