Event Details
A student performance prediction model for recruitment and retention
Presenter: Linlin Zhang
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Date: Tue, August 17, 2021
Time: 13:00:00 - 00:00:00
Place: ZOOM - Please see below.
ABSTRACT
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Meeting ID: 886 4182 5197
Password: 517715
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Meeting ID: 886 4182 5197
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Abstract: Education is an important part of everyone’s life all over the world. Many institutions have started to use scientific methods to provide clues to help students improve their performance and assist educational institutions in improving quality and making better informed decisions. This gives rise to the research area of student academic performance prediction. Successful outcomes would facilitate both recruitment and retention of students, especially at the tertiary level. We investigate previous literature published in the past ten years to study the latest state-of-art in student academic prediction, and we propose to build an accurate prediction model. The primary goal of the proposed research is to develop a prediction model to predict student academic performance, which are student overall GPA, program duration and failure in the program to be specific. We also propose a tool with graphical user interfaces (GUI) integrated with the prediction model. In addition, we setup different case 吃瓜网 to uncover the hidden patterns from the student data.