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Effective sequential learning for student performance prediction

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posted on 2024-11-08, 05:26 authored by Xiangyu Song
The study investigates the extent to which students gradually acquire relevant concepts as they exercise through an online education platform in order to predict their performance in advance. The findings suggest that modelling the students' daily online exercises can be a good predictor of their final performance in examinations.

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Pagination

98 p.

Open access

  • Yes

Language

eng

Degree type

Doctorate

Degree name

Ph.D.

Copyright notice

All rights reserved

Editor/Contributor(s)

Jianxin Li

Faculty

Faculty of Science, Engineering and Built Environment

School

School of Information Technology

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