首页> 外文期刊>Information Technology, Learning, and Performance Journal >PREDICTING ACADEMIC PERFORMANCE IN AN INTRODUCTORY COLLEGE-LEVEL IS COURSE
【24h】

PREDICTING ACADEMIC PERFORMANCE IN AN INTRODUCTORY COLLEGE-LEVEL IS COURSE

机译:预测入门级大学的学术表现

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

This study describes a model to predict academic performance in an introductory college-level information systems course. We base the model on one developed by Eskew and Faley (1988) to predict grades in accounting classes. We collected data from students in four sections of an introductory college-level IS class at a single university. Motivation and GPA predict performance. Prior related courses do not predict performance. Unexpectedly, SAT predicts performance for male students but not for female students. We discuss these findings and suggest what faculty members can do to improve performance in the class.
机译:这项研究描述了预测大学入门级信息系统课程中学习成绩的模型。我们基于Eskew和Faley(1988)开发的模型来预测会计类的成绩。我们从一所大学的入门级IS课程的四个部分的学生中收集了数据。动机和GPA可以预测绩效。先前的相关课程无法预测成绩。出乎意料的是,SAT预测的是男生的成绩,而不是女学生的成绩。我们将讨论这些发现,并建议教师可以采取哪些措施来提高课堂表现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号