An Instructor-based and Course-based Learning Analytics for Identifying At-Risk Students

碩士 === 元智大學 === 資訊工程學系 === 104 === This study applies midterm assessment and grading historical data to develop a prediction mechanism for identifying at-risk students of fail and low credit-earned rate. The existed midterm assessment grades students as A, B, C, and D where D indicates at-risk stude...

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Bibliographic Details
Main Authors: Kung-Chen Peng, 彭恭箴
Other Authors: Chih-Yueh Chou
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/8f29f7