Student Evaluations of Teaching as a Predictor of Teaching Effectiveness in a Selective Liberal-Arts College

Q3 Social Sciences College Teaching Pub Date : 2023-10-26 DOI:10.1080/87567555.2023.2272277
Meichai Chen, George Y. Bizer, Roger W. Hoerl
{"title":"Student Evaluations of Teaching as a Predictor of Teaching Effectiveness in a Selective Liberal-Arts College","authors":"Meichai Chen, George Y. Bizer, Roger W. Hoerl","doi":"10.1080/87567555.2023.2272277","DOIUrl":null,"url":null,"abstract":"AbstractPrevious research has shown mixed results regarding the relationship between Student Evaluations of Teaching (SETs) and teaching effectiveness. Although the literature on this topic is extensive, it appears that none of the scholarship was conducted at small, selective, undergraduate institutions in which teaching is prioritized. In the current research, we explored the association between student evaluations and teaching effectiveness at such an institution. Data were collected at a selective liberal-arts institution of approximately 2200 students in the Northeastern United States. Participants were 139 students who had enrolled in both Calculus I and Calculus II. Seven different professors taught Calculus I, while seven different professors taught Calculus II. Linear regression analyses indicated that, for one of the three subscales of the College’s SET, there was a positive association between SET scores of the faculty member in Calculus I and student grades in Calculus II. Machine-learning analyses confirmed this association and indicated that the relationship was strongest for students with overall grade-point averages near the cohort’s mean. Our research thus adds to the scholarship broadly but also suggests that assessment of SETs in smaller, selective teaching-oriented institutions is an important direction for future scholarship.Keywords: Liberal-arts schoolsmachine-learning analysisstudent evaluationsteaching effectiveness Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":53429,"journal":{"name":"College Teaching","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"College Teaching","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/87567555.2023.2272277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

AbstractPrevious research has shown mixed results regarding the relationship between Student Evaluations of Teaching (SETs) and teaching effectiveness. Although the literature on this topic is extensive, it appears that none of the scholarship was conducted at small, selective, undergraduate institutions in which teaching is prioritized. In the current research, we explored the association between student evaluations and teaching effectiveness at such an institution. Data were collected at a selective liberal-arts institution of approximately 2200 students in the Northeastern United States. Participants were 139 students who had enrolled in both Calculus I and Calculus II. Seven different professors taught Calculus I, while seven different professors taught Calculus II. Linear regression analyses indicated that, for one of the three subscales of the College’s SET, there was a positive association between SET scores of the faculty member in Calculus I and student grades in Calculus II. Machine-learning analyses confirmed this association and indicated that the relationship was strongest for students with overall grade-point averages near the cohort’s mean. Our research thus adds to the scholarship broadly but also suggests that assessment of SETs in smaller, selective teaching-oriented institutions is an important direction for future scholarship.Keywords: Liberal-arts schoolsmachine-learning analysisstudent evaluationsteaching effectiveness Disclosure statementNo potential conflict of interest was reported by the author(s).
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
文理学院学生教学评价对教学效果的预测作用
摘要关于学生教学评价与教学效果的关系,以往的研究结果喜忧参半。尽管关于这一主题的文献非常广泛,但似乎没有一项奖学金是在教学优先的小型、选择性的本科院校进行的。在本研究中,我们探讨了学生评价与教学效果之间的关系。数据是在美国东北部一所精选的文理学院收集的,大约有2200名学生。参与者是139名同时选修微积分I和微积分II的学生。7位教授教微积分1,7位教授教微积分2。线性回归分析表明,在学院的三个子量表中,有一个子量表的微积分I教师的SET分数与学生的微积分II成绩之间存在正相关。机器学习分析证实了这一关联,并表明总体平均成绩接近队列平均值的学生的关系最强。因此,我们的研究广泛地增加了学术研究,但也表明,在规模较小、选择性教学导向的机构中评估set是未来学术研究的一个重要方向。关键词:文理学院机器学习分析学生评价教学效果披露声明作者未报告潜在利益冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
College Teaching
College Teaching Social Sciences-Education
CiteScore
1.50
自引率
0.00%
发文量
33
期刊介绍: College Teaching provides an interdisciplinary academic forum on issues in teaching and learning at the undergraduate or graduate level. The journal publishes three kinds of articles. Regular, full-length articles of up to 5,000 words reporting scholarship on teaching methods, educational technologies, classroom management, assessment and evaluation, and other instructional practices that have significance beyond a single discipline. Full-length articles also describe innovative courses and curricula, faulty development programs, and contemporary developments. Quick Fix articles, up to 500 words, present techniques for addressing common classroom problems. Commentaries, up to 1,200 words, provide thoughtful reflections on teaching.
期刊最新文献
The Powerful Impact of Positive and Negative Interactions with STEM Faculty on Undergraduates, Especially Underrepresented and Transfer Students The Life Happens Pass: Use of a Flexible and Fair Assignment Extension Policy A Quick Fix for Promoting Reading Compliance and Improved Class Discussions: Quizgecko and Low-Stakes Quizzes Teaching Advanced Undergraduate Classes in a Problem-solving Context: The Cognitive Sherlock Approach Iteratively-Designed Exit Tickets Enhances Student Learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1