Does professional development for online instruction improve student course outcomes?

IF 6.4 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Internet and Higher Education Pub Date : 2025-01-19 DOI:10.1016/j.iheduc.2025.100993
Xuehan Zhou , Qiujie Li , Di Xu
{"title":"Does professional development for online instruction improve student course outcomes?","authors":"Xuehan Zhou ,&nbsp;Qiujie Li ,&nbsp;Di Xu","doi":"10.1016/j.iheduc.2025.100993","DOIUrl":null,"url":null,"abstract":"<div><div>With the fast expansion of online learning in higher education, institutions have increasingly offered and mandated faculty professional development (PD) programs focused on online instruction. However, the extent to which these PD programs indeed lead to improved students' online course performance remains largely unknown. This paper used a rigorous quasi-experimental approach to estimate the impact of a PD program on student online course performance at a large community college using a dataset that includes more than 370,000 online course enrollments taught by close to 900 instructors. The analyses yielded robust, nonsignificant estimates for the PD program on both online course persistence and course grades. Further qualitative analysis of the courses taught by PD participants indicated that instructors' integration of elements covered by the PD training into their subsequent teaching was fairly limited, highlighting the need for ongoing support to help instructors incorporate recommended practices into instruction.</div></div>","PeriodicalId":48186,"journal":{"name":"Internet and Higher Education","volume":"65 ","pages":"Article 100993"},"PeriodicalIF":6.4000,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet and Higher Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1096751625000028","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

Abstract

With the fast expansion of online learning in higher education, institutions have increasingly offered and mandated faculty professional development (PD) programs focused on online instruction. However, the extent to which these PD programs indeed lead to improved students' online course performance remains largely unknown. This paper used a rigorous quasi-experimental approach to estimate the impact of a PD program on student online course performance at a large community college using a dataset that includes more than 370,000 online course enrollments taught by close to 900 instructors. The analyses yielded robust, nonsignificant estimates for the PD program on both online course persistence and course grades. Further qualitative analysis of the courses taught by PD participants indicated that instructors' integration of elements covered by the PD training into their subsequent teaching was fairly limited, highlighting the need for ongoing support to help instructors incorporate recommended practices into instruction.
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
求助全文
约1分钟内获得全文 去求助
来源期刊
Internet and Higher Education
Internet and Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
19.30
自引率
4.70%
发文量
30
审稿时长
40 days
期刊介绍: The Internet and Higher Education is a quarterly peer-reviewed journal focused on contemporary issues and future trends in online learning, teaching, and administration within post-secondary education. It welcomes contributions from diverse academic disciplines worldwide and provides a platform for theory papers, research studies, critical essays, editorials, reviews, case studies, and social commentary.
期刊最新文献
Editorial Board Exploring human and AI collaboration in inclusive STEM teacher training: A synergistic approach based on self-determination theory What should I know? Analysing behaviour and feedback from student use of a virtual assistant to share information about disabilities Investigating perceived fairness of AI prediction system for math learning: A mixed-methods study with college students Transforming online learning research: Leveraging GPT large language models for automated content analysis of cognitive presence
×
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