首页> 外文期刊>Higher Education Research & Development >Student evaluation of courses: what predicts satisfaction?
【24h】

Student evaluation of courses: what predicts satisfaction?

机译:学生对课程的评价:怎样预测满意度?

获取原文
获取原文并翻译 | 示例
       

摘要

The main goals of course evaluations are to obtain student feedback regarding courses and teaching for improvement purposes and to provide a defined and practical process to ensure that actions are taken to improve courses and teaching. Of the items on course evaluation forms, the one that receives the most attention and consequently the most weight is the question, ‘Overall, I was satisfied with the quality of this course.’ However, no attention has been placed on examining the predictors of students being ‘satisfied with the quality of this course’ overall. This study attempts to address this gap. The findings show that while student characteristics and reasons for enrolling in a course are predictors of overall satisfaction, it is the evaluation questions that predict the majority of the variation in course satisfaction. The findings also reveal that faculty‐selected optional questions are stronger predictors of overall satisfaction than compulsory questions.View full textDownload full textKeywordscourse evaluation, overall satisfaction, student ratingsRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/07294360903394466
机译:课程评估的主要目标是获得学生对课程和教学的反馈,以达到改善目的,并提供明确和实际的流程,以确保采取措施改善课程和教学。在课程评估表中,最受关注且因此权重最大的一个问题是:“总体而言,我对这门课程的质量感到满意。”但是,没有将注意力放在检查学生对课程整体质量“满意”的预测因素。这项研究试图解决这一差距。研究结果表明,虽然学生的特征和入学原因是整体满意度的预测因素,但评估问题却可以预测课程满意度的大部分变化。调查结果还表明,教师选择的问题比强制性问题更能反映整体满意度。查看全文下载全文关键词课程评估,整体满意度,学生评分,netvibes,twitter,technorati,可口,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/07294360903394466

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