Collaborative Research: Research in Student Peer Review: A Cooperative Web-Services Approach
合作研究:学生同行评审研究:合作网络服务方法
基本信息
- 批准号:1431975
- 负责人:
- 金额:$ 20.18万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-01 至 2014-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Hundreds of thousands of students have used online peer review applications to review their classmates' work. While learning gains from peer review have been documented repeatedly, current systems do not always produce accurate scores and often give inadequate guidance to students about what constitutes a good review, resulting in haphazard feedback. This research addresses these issues with a common set of web services that can be used by any peer review system, as well as new visualizations that identify students' strengths and weaknesses, and gauge improvement over time.This project differs from previous research that typically involves a single peer review system. It will develop a set of web services that will be usable by any peer review system in the same way that Google Maps is available to any website that wants to display location data. This common implementation will allow the project team to gather data from large numbers of students in a wide variety of contexts, thereby giving us the statistical power to produce more convincing, highly generalizable resultsPeer review during the writing process is an example of formative assessment, feedback that is received while the recipient still has a chance to improve his/her work. Several studies have found that the students who benefit most from formative assessment are those who typically underperform as measured by exams and standardized tests. Formative assessment tends to level the playing field for underrepresented minorities by allowing these students to receive input from their peers when they are not stressed about how their grade is being affected.
成千上万的学生使用在线同行评审申请来审查其同学的工作。尽管已经反复记录了从同行评审中的学习收益,但当前系统并不总是会产生准确的分数,并且经常向学生提供有关构成良好审查的指导,从而导致偶然的反馈。这项研究通过一组通用的Web服务来解决这些问题,这些Web服务可以由任何同行审查系统使用,以及确定学生的优势和劣势的新可视化,并随着时间的推移计算改进。该项目与以前的研究不同,这些项目通常涉及单个同行评审系统。它将开发一组Web服务,这些Web服务将以任何同行评审系统可用,就像任何想要显示位置数据的网站相同的方式。这种共同的实施将使项目团队能够在各种环境中收集来自大量学生的数据,从而为我们提供统计能力,在写作过程中产生更令人信服的,高度概括的结果审查是形成性评估的一个示例,即收到的反馈,而收件人仍然有机会改善他/她/她的工作。几项研究发现,从形成性评估中受益最大的学生是那些通常通过考试和标准化考试来衡量的表现不佳的学生。形成性评估倾向于通过允许这些学生收到同龄人的意见,因为他们对自己的成绩的影响如何,因此倾向于将代表性不足的少数民族的竞争环境提升。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Eric Ford其他文献
Comparison of heuristic approaches to the generalized tree alignment problem
广义树对齐问题的启发式方法比较
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:3.6
- 作者:
Eric Ford;W. Wheeler - 通讯作者:
W. Wheeler
A Virtual Frame System for Stereotactic Radiosurgery Planning
- DOI:
10.1016/j.ijrobp.2008.06.1934 - 发表时间:
2008-11-15 - 期刊:
- 影响因子:
- 作者:
Eric Ford;David Purger;Erik Tryggestad;Todd McNutt;John Christodouleas;Daniele Rigamonti;Ori Shokek;Sang Won;Jessica Zhou;Michael Lim;John Wong;Larry Kleinberg - 通讯作者:
Larry Kleinberg
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification
Neighborhood Watch:利用局部边缘三元组损失和 K 最近邻图像分类的采样策略进行表示学习
- DOI:
10.1109/iccvw.2019.00351 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Phawis Thammasorn;Daniel Hippe;W. Chaovalitwongse;M. Spraker;L. Wootton;Matthew Nyflot;S. Combs;J. Peeken;Eric Ford - 通讯作者:
Eric Ford
Lessons Learned From an Educational Pilot: High-Yield Physics Videos for Radiation Oncology Residents
- DOI:
10.1016/j.prro.2023.01.013 - 发表时间:
2023-07-01 - 期刊:
- 影响因子:
- 作者:
Gabrielle W. Peters;Todd F. Atwood;Derek Brown;Jay Burmeister;Eric Ford;Titania Juang;Holly Lincoln;Suzanne B. Evans - 通讯作者:
Suzanne B. Evans
Improved safety and quality in intravascular brachytherapy: A multi-institutional study using failure modes and effects analysis.
提高血管内近距离放射治疗的安全性和质量:使用失效模式和效果分析的多机构研究。
- DOI:
10.1016/j.brachy.2023.07.009 - 发表时间:
2023 - 期刊:
- 影响因子:1.9
- 作者:
Evan Gates;Kent Wallner;Jasleen K Tiwana;Eric Ford;Mark L. Phillips;Lan Lu;V. Dumane;Ren;Minsun Kim - 通讯作者:
Minsun Kim
Eric Ford的其他文献
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{{ truncateString('Eric Ford', 18)}}的其他基金
Collaborative Research: Research in Student Peer Review: A Cooperative Web-Services Approach
合作研究:学生同行评审研究:合作网络服务方法
- 批准号:
1460651 - 财政年份:2014
- 资助金额:
$ 20.18万 - 项目类别:
Standard Grant
MSPA-AST: Searching for Earth-Mass Planets: Bayesian Algorithms to Analyze Transit Timing Observations
MSPA-AST:搜索地球质量行星:用于分析凌日定时观测的贝叶斯算法
- 批准号:
0707203 - 财政年份:2007
- 资助金额:
$ 20.18万 - 项目类别:
Standard Grant
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