首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:COMPUTER-BASED PORTFOLIO ASSESSMENT TO ENHANCE STUDENTS� SELF-REGULATED LEARNING
  • 本地全文:下载
  • 作者:GUSTI AYU MAHAYUKTI ; NYOMAN DANTES ; I MADE CANDIASA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2018
  • 卷号:96
  • 期号:8
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The aim of this study is to elaborate the impact of computer-based portfolio assessment to improve the students� self-regulated learning. The population of this research was the students of Mathematics Education Department, Universitas Pendidikan Ganesha, who followed the Integral Calculus course in academic year 2015/2016. From those, 88 students were chosen randomly as the sample. Pretest-Posttest Control Group Design was employed as the method of the present study. The data were gathered from a self-regulated learning questionnaire with 19 positive and 18 negative statements. The collected data were analyze using descriptive and inferential techniques using t-test. The result showed that there is an improvement of the students� self regulated learning after following the course with computer-based portfolio assessment. The finding implies that when using computer-based portfolio assessment in the classroom, it is better in team teaching format.
  • 关键词:Computer-Based Portfolio Assessment; Self-Regulated Learning
国家哲学社会科学文献中心版权所有