Characterizing students' behavioral patterns in an online reading test

Hercy N.H. Cheng, Jian Wen Sun, Zhi Liu, San Ya Liu

研究成果: 書貢獻/報告類型會議貢獻

摘要

Understanding students' testing behaviors may help researchers design better computer-based assessment. For this reason, this study aims at characterizing students' behavioral patterns in online reading test by k-means clustering. The clustering algorithm adopts eight indicators: reading time, answering time, the number of choosing articles, the number of choosing questions, the number of selecting options, the number of marking questions, the number of revisiting a test and the final testing scores. The result identifies five clusters of student testers: slow readers, fast readers, question markers, fast responders, and re-readers.

原文英語
主出版物標題ICCE 2016 - 24th International Conference on Computers in Education
主出版物子標題Think Global Act Local - Main Conference Proceedings
編輯Su Luan Wong, Alba Garcia Barrera, Hiroyuki Mitsuhara, Gautam Biswas, Jiyou Jia, Jie-Chi Yang, Michelle P. Banawan, Muhammet Demirbilek, Matthew Gaydos, Chui-Pin Lin, Jin Gon Shon, Sridhar Iyer, Agneta Gulz, Chris Holden, Greg Kessler, Ma. Mercedes T. Rodrigo, Pratim Sengupta, Peppi Taalas, Weiqin Chen, Sahana Murthy, Beaumie Kim, Xavier Ochoa, Daner Sun, Nelson Baloian, Tore Hoel, Ulrich Hoppe, Ting-Chia Hsu, Agnes Kukulska-Hulme, Hui-Chun Chu, Xiaoqing Gu, Weiqin Chen, Jun Song Huang, Ming-Fong Jan, Lung-Hsiang Wong, Chengjiu Yin
發行者Asia-Pacific Society for Computers in Education
頁面651-653
頁數3
ISBN(電子)9789868473577
出版狀態已發佈 - 2016
對外發佈
事件24th International Conference on Computers in Education, ICCE 2016 - Mumbai, 印度
持續時間: 十一月 28 2016十二月 2 2016

出版系列

名字ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings

會議

會議24th International Conference on Computers in Education, ICCE 2016
國家/地區印度
城市Mumbai
期間11/28/1612/2/16

ASJC Scopus subject areas

  • 資訊系統
  • 教育
  • 電腦科學(雜項)
  • 電腦科學應用
  • 硬體和架構

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