Grappling With Graphs: New Tools For Improving Graphing Practices of Undergraduate Biology Students
处理图表:提高生物学本科生绘图实践的新工具
基本信息
- 批准号:2111150
- 负责人:
- 金额:$ 156.69万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-01 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project aims to serve the national interest by helping educators understand how students learn to accurately make and interpret graphs. All STEM disciplines use graphs to display, interpret, and analyze data. With today’s data analysis and visualization tools, graphing skills are even more crucial as the public gains greater access to databases and dissemination platforms that can widely share both accurate and flawed graphs. Graphing is particularly difficult in biology, where a wide range of topics leads to many different graphic contexts and where the data tend to be noisy. Currently, educators do not understand the various paths students take in learning to graph biological data or how those paths may differ based on a student’s background. Also not yet understood are the types of instructional interventions that could help students develop graphing expertise. This project will generate information to answer each of these questions. Specifically, the project will adapt, develop, and refine instructional tools for teaching graphing in a biology context. The project will involve instructors from diverse institutions that have introductory biology courses that enroll large numbers of students from different demographic backgrounds. Using a graph construction tool called GraphSmarts, the researchers can examine student performance on different graphing tasks to reveal strategies students use to improve their graphing-related abilities. This project builds upon and expands on previous work examining the graphing practices of undergraduate students using a lobster-kelp scenario in the GraphSmarts tool. The project will develop four new scenarios for introductory biology graphing assessments. These scenarios will focus on topics in physiology, cell biology, and ecology. Instructors from different institutional types across the United States will participate in a Faculty Mentoring Network to design new assessments that share context-independent attributes with the original lobster-kelp scenario. Using backward design strategies, the instructors will develop activities to teach the new scenarios in their introductory biology courses. Then, using the GraphSmarts tool, data on student performance will be collected to measure student learning and to validate the new graphing assessments. As students explore the new scenarios, the project will gather qualitative and quantitative data including student graphs and answers to questions. The information gathered from the newly designed assessments will provide educators with a more nuanced understanding of student graphing competencies. The results will help educators across STEM fields understand barriers that students face in understanding graphing, as well as potential solutions to those barriers. The project will produce open-access materials that will be shared on the high used QUBE network. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. This is a Level III project in the Engaged Student Learning track, through which the IUSE program supports the creation, exploration, and implementation of promising practices and tools.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目旨在通过帮助教育工作者了解学生如何学习准确制作和解释图表来服务于国家利益。所有STEM学科都使用图形来显示、解释和分析数据。有了今天的数据分析和可视化工具,绘图技能变得更加重要,因为公众可以更多地访问数据库和传播平台,这些平台可以广泛分享准确和有缺陷的图表。在生物学中,绘图尤其困难,其中广泛的主题导致许多不同的图形上下文,并且数据往往是嘈杂的。 目前,教育工作者不了解学生在学习绘制生物数据时所采取的各种途径,也不了解这些途径如何根据学生的背景而有所不同。 还没有理解的是类型的教学干预,可以帮助学生发展图形的专业知识。这个项目将产生信息来回答这些问题。具体来说,该项目将适应,开发和完善教学工具,在生物学的背景下教学图形。该项目将涉及来自不同机构的教师,这些机构开设了生物学入门课程,招收了大量来自不同人口背景的学生。使用一种名为GraphSmarts的图形构建工具,研究人员可以检查学生在不同图形任务中的表现,以揭示学生用来提高图形相关能力的策略。 这个项目建立在以前的工作基础上,并在此基础上进行了扩展,这些工作是在GraphSmarts工具中使用龙虾海带场景来检查本科生的绘图实践。该项目将开发四个新的情景介绍生物绘图评估。 这些场景将集中在生理学,细胞生物学和生态学的主题。来自美国各地不同机构类型的教师将参加教师指导网络,以设计新的评估,与原始的龙虾海带场景共享上下文无关的属性。使用向后设计策略,教师将开发活动,在他们的生物学入门课程中教授新的场景。然后,使用GraphSmarts工具,将收集有关学生表现的数据,以衡量学生的学习情况,并验证新的图形评估。随着学生探索新的场景,该项目将收集定性和定量数据,包括学生图表和问题的答案。从新设计的评估中收集的信息将为教育工作者提供对学生制图能力更细致入微的了解。研究结果将帮助STEM领域的教育工作者了解学生在理解图形时面临的障碍,以及这些障碍的潜在解决方案。该项目将制作开放获取的材料,这些材料将在高使用率的QUBE网络上共享。NSF IUSE:EHR计划支持研究和开发项目,以提高所有学生STEM教育的有效性。这是一个三级项目,在IUSE学生学习轨道,通过它IUSE计划支持创建,探索和实施有前途的做法和工具.这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持.
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)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Stephanie Gardner其他文献
Reading Primary Scientific Literature: Approaches for Teaching Reading Primary Scientific Literature: Approaches for Teaching Students in the Undergraduate STEM Classroom Students in the Undergraduate STEM Classroom
阅读初级科学文献:教学方法 阅读初级科学文献:本科 STEM 课堂学生的教学方法 本科 STEM 课堂学生
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Lara K. Goudsouzian;Jeremy L. Hsu;Comments Comments;Stephanie Gardner - 通讯作者:
Stephanie Gardner
P16. Biomechanical assessments of the spine during a 2000M ergometer row test
- DOI:
10.1016/j.spinee.2022.07.054 - 发表时间:
2022-09-01 - 期刊:
- 影响因子:
- 作者:
Comron Saifi;Jordan Ankersen;Bradley Lambert;Stephanie Gardner;Brendan Holderread;Shari Liberman - 通讯作者:
Shari Liberman
Assessing Students' Metacognitive Skills
- DOI:
10.1016/s0002-9459(24)03180-2 - 发表时间:
2007-01-01 - 期刊:
- 影响因子:
- 作者:
Judy Garrett;Martha Alman;Stephanie Gardner;Charles Born - 通讯作者:
Charles Born
Car Keys, House Keys, Easter Eggs, and Curricula
- DOI:
10.5688/aj7407133 - 发表时间:
2010-09-01 - 期刊:
- 影响因子:
- 作者:
Stephanie Gardner - 通讯作者:
Stephanie Gardner
Stephanie Gardner的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Stephanie Gardner', 18)}}的其他基金
Grappling with Graphs: Researching and Improving Student Graphing Skills Using An Interactive Digital Graphing Tool
处理图表:使用交互式数字绘图工具研究和提高学生的绘图技能
- 批准号:
1726180 - 财政年份:2017
- 资助金额:
$ 156.69万 - 项目类别:
Standard Grant
相似海外基金
On combinatorics, the algebra, topology, and geometry of a new class of graphs that generalize ordinary and ribbon graphs
关于组合学、一类新图的代数、拓扑和几何,概括了普通图和带状图
- 批准号:
24K06659 - 财政年份:2024
- 资助金额:
$ 156.69万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
New developments in inverse theory for differential equation networks: from trees to general graphs
微分方程网络逆理论的新进展:从树到一般图
- 批准号:
2308377 - 财政年份:2023
- 资助金额:
$ 156.69万 - 项目类别:
Standard Grant
New constructions of designs, graphs and codes over finite fields based on finite geometry and algebraic methods
基于有限几何和代数方法的有限域上的设计、图形和代码的新构造
- 批准号:
17K14236 - 财政年份:2017
- 资助金额:
$ 156.69万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
AF: Small: New Algorithmic Primitives for Directed Graphs: Sparsification and Preconditioning
AF:小:有向图的新算法基元:稀疏化和预处理
- 批准号:
1718533 - 财政年份:2017
- 资助金额:
$ 156.69万 - 项目类别:
Standard Grant
A study for finding a new approach toward Ramsey-type problems in graphs
寻找解决图中拉姆齐型问题的新方法的研究
- 批准号:
15K04979 - 财政年份:2015
- 资助金额:
$ 156.69万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
New Models and Methods for the Effective Orthogonal Layout of Graphs
图的有效正交布局的新模型和方法
- 批准号:
249458560 - 财政年份:2014
- 资助金额:
$ 156.69万 - 项目类别:
Research Grants
New Algorithmic Complexity Bounds for Isomorphism Problems over Graphs and other Algebraic Structures
图和其他代数结构上同构问题的新算法复杂度界限
- 批准号:
225911997 - 财政年份:2013
- 资助金额:
$ 156.69万 - 项目类别:
Research Grants
New colored graphs towards a Brualdi-Hollingsworth conjecture
布鲁尔迪-霍林斯沃斯猜想的新彩色图表
- 批准号:
21740085 - 财政年份:2009
- 资助金额:
$ 156.69万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
New Decompositions and configurations for random graphs
随机图的新分解和配置
- 批准号:
357973-2008 - 财政年份:2009
- 资助金额:
$ 156.69万 - 项目类别:
Postdoctoral Fellowships
New Decompositions and configurations for random graphs
随机图的新分解和配置
- 批准号:
357973-2008 - 财政年份:2008
- 资助金额:
$ 156.69万 - 项目类别:
Postdoctoral Fellowships














{{item.name}}会员




