Evaluation of classification algorithms for predicting students’ learning performance based on bookroll reading logs

Anna Yu Qing Huang, Owen Hsin Tes Lu, Stephen J.H. Yang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

To help students’ learning, finding at-risk students is an important issue in education. This study has collected students’ learning logs in ebook reading environment for 17 blended learning courses in Taiwan. Then, we have construct students’ learning performance prediction model based on learning logs by using eight classification methods. To improve prediction performance, we have also propose grading policy rules which include of grading on stringency rule, grading on moderate rule, and grading on leniency rule to define the labels of students’ learning performance. According to the prediction performance results, the LR is the suitable classification method for predicting students’ learning performance. Besides, the grading on leniency rule has obtained the higher prediction performance. For exploring the influence factors on classification performance, we investigate the relationship between students’ online learning actions and students’ academic performance by Spearman coefficient analysis the open file (f1), the number of delete marker (f6), the number of next pages (f12), and the number of previous pages (f13) features are the critical factors for affecting the prediction performance of learning logs.

原文???core.languages.en_GB???
主出版物標題Cognitive Cities - 2nd International Conference, IC3 2019, Revised Selected Papers
編輯Jian Shen, Yao-Chung Chang, Yu-Sheng Su, Hiroaki Ogata
發行者Springer
頁面262-272
頁數11
ISBN(列印)9789811561122
DOIs
出版狀態已出版 - 2020
事件2nd International Cognitive Cities Conference, IC3 2019 - Kyoto, Japan
持續時間: 3 9月 20196 9月 2019

出版系列

名字Communications in Computer and Information Science
1227 CCIS
ISSN(列印)1865-0929
ISSN(電子)1865-0937

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???event.eventtypes.event.conference???2nd International Cognitive Cities Conference, IC3 2019
國家/地區Japan
城市Kyoto
期間3/09/196/09/19

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