Improving Inductive Reasoning Skills in Polymer Science Through Open Virtual Experiment Simulator Education Tools

通过开放式虚拟实验模拟器教育工具提高高分子科学中的归纳推理技能

基本信息

  • 批准号:
    2142043
  • 负责人:
  • 金额:
    $ 29.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-07-01 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

This project aims to serve the national interest by improving inductive reasoning skills of undergraduate polymer science students through developing novel, dynamic, evidence-based "open virtual experiment simulator education tools" (OVESET) and research-supported materials. Inductive reasoning is the key to success in polymer science learning. This project will offer free, interactive, state-of-the-art learning tools and instructional materials, thus lifting major barriers many students experience when advancing in science, technology, engineering, and mathematics (STEM). Specifically, OVESET will allow students to generate experimental results in seconds using only a web browser. Instructors will benefit from both OVESET and the high-quality, evidence-based instructional materials. The products developed in this project will be designed to strengthen students' metacognition, increase students' perceived classroom equity climate, and improve STEM retention. Specifically, this project aims to 1) develop the codes and structure of OVESET for each topic recommended by the American Chemical Society (ACS) for undergraduate polymer science education, 2) create OVESET ancillary materials based on research-supported pedagogy, 3) implement OVESET and ancillary materials in undergraduate polymer science courses and evaluate their effectiveness, and 4) conduct research to understand in what ways OVESET changes students' inductive reasoning and meta-cognition using both quasi-experimental and experimental designs. Systematic evaluation of the project will generate knowledge on whether OVESET advances students' outcomes, STEM retention, and perceived classroom equity. Research studies will generate knowledge on the specific conditions in which OVESET works, such as how interactive virtual simulators like OVESET may impact students' self-efficacy, growth mindset, sense of belonging in STEM, and academic motivation. The NSF IUSE:EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the 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.
该项目旨在通过开发新颖、动态、循证的“开放式虚拟实验模拟器教育工具”(OVESET)和研究支持材料,提高高分子科学本科生的归纳推理能力,为国家利益服务。归纳推理是高分子科学学习成功的关键。该项目将提供免费的、互动的、最先进的学习工具和教学材料,从而消除许多学生在科学、技术、工程和数学(STEM)领域学习时遇到的主要障碍。具体来说,OVESET将允许学生仅使用网络浏览器在几秒钟内生成实验结果。教师将受益于OVESET和高质量的、基于证据的教学材料。本项目开发的产品旨在加强学生的元认知,增加学生感知的课堂公平气氛,提高STEM保留率。具体而言,本项目旨在:1)为美国化学学会(ACS)推荐的本科高分子科学教育的每个主题制定OVESET的代码和结构;2)基于研究支持教学法创建OVESET辅助材料;3)在本科高分子科学课程中实施OVESET及其辅助材料并评估其有效性。4)通过准实验设计和实验设计,研究OVESET如何改变学生的归纳推理和元认知。对该项目的系统评估将产生关于OVESET是否提高学生成绩、STEM保留率和感知课堂公平的知识。研究性研究将产生关于OVESET工作的具体条件的知识,例如像OVESET这样的交互式虚拟模拟器如何影响学生的自我效能感、成长心态、STEM归属感和学习动机。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。通过参与学生学习轨道,该计划支持有前途的实践和工具的创建,探索和实施。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
ATRP Kinetic Simulator: An Online Open Resource Educational Tool Using Jupyter Notebook and Google Colaboratory
ATRP 动力学模拟器:使用 Jupyter Notebook 和 Google Colaboratory 的在线开放资源教育工具
  • DOI:
    10.1021/acs.jchemed.2c01250
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Wang, Yu;Li, Manyu;Wang, Xiang-Sheng;Gildersleeve, Amanda;Turki, Nadia
  • 通讯作者:
    Turki, Nadia
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Yu Wang其他文献

Development of Constitutive Model of ECC Based on OpenSees Platform
基于OpenSees平台的ECC本构模型开发
Therapeutic Efficacy of Kangfuxin Liquid Combined with PPIs in Gastric Ulcer
康复新液联合质子泵抑制剂治疗胃溃疡的疗效观察
Initialization of CNN Models for Training on a Small Dataset Using Importance of Filter Parameters
使用滤波器参数的重要性初始化用于小数据集训练的 CNN 模型
KINECT-BASED SKELETON-MATCHING FEEDBACK FOR MOTOR REHABILITATION: TRANSIENT PERFORMANCE EFFECT OF SHOULDER TRAINING
基于 Kinect 的运动康复骨骼匹配反馈:肩部训练的瞬态表现效果
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Weiyan Ren;F. Pu;Xiaoya Fan;Shuyu Li;Lianwen Sun;Deyu Li;Yu Wang;Yubo Fan
  • 通讯作者:
    Yubo Fan
Assessment of Deep Brain Stimulation Implantation Surgery: A Practical Scale
深部脑刺激植入手术的评估:实用量表
  • DOI:
    10.1016/j.wneu.2019.11.117
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Shun Gong;Yingqun Tao;Hai Jin;Xiao Sun;Yang Liu;Shimiao Wang;Menting Xu;Xingwang Yang;Yu Wang;Lijia Yuan;Weilong Song
  • 通讯作者:
    Weilong Song

Yu Wang的其他文献

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{{ truncateString('Yu Wang', 18)}}的其他基金

SAI-R: A Community-Centered Decision-Making Framework for Microgrid Deployment
SAI-R:以社区为中心的微电网部署决策框架
  • 批准号:
    2228620
  • 财政年份:
    2022
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant
Collaborative Research: CPS: Medium: RUI: Cooperative AI Inferencein Vehicular Edge Networks for Advanced Driver-Assistance Systems
协作研究:CPS:中:RUI:用于高级驾驶员辅助系统的车辆边缘网络中的协作人工智能推理
  • 批准号:
    2128378
  • 财政年份:
    2021
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: AirEdge: Robust Airborne Wireless Edge Computing Network using Swarming UAVs
合作研究:CNS 核心:小型:AirEdge:使用集群无人机的强大机载无线边缘计算网络
  • 批准号:
    2006604
  • 财政年份:
    2020
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant
Collaborative Research: In-Situ Three-Dimensional Diffraction and High-Resolution Electron Microscopy Study of Modulated Martensites
合作研究:调制马氏体的原位三维衍射和高分辨率电子显微镜研究
  • 批准号:
    1506936
  • 财政年份:
    2015
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Continuing Grant
NeTS: Small: Collaborative Research: Towards Reliable, Energy-Efficient, and Secure Vehicular Networks
NetS:小型:协作研究:迈向可靠、节能和安全的车辆网络
  • 批准号:
    1319915
  • 财政年份:
    2014
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant
EAGER: Topology Design in Socio-Temporal Evolving Wireless Networks
EAGER:社会时间演进无线网络中的拓扑设计
  • 批准号:
    1050398
  • 财政年份:
    2010
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant
NeTS:Small:Collaborative Research: An Integrated Environment-Independent Approach to Topology Control in Wireless Ad Hoc Networks
NetS:Small:协作研究:无线自组织网络中与环境无关的拓扑控制集成方法
  • 批准号:
    0915331
  • 财政年份:
    2009
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant
Computational Study for Optimizing Microstructures and Properties of Polymer-Matrix Magnetostrictive Composite Materials
聚合物基磁致伸缩复合材料微观结构和性能优化的计算研究
  • 批准号:
    0968792
  • 财政年份:
    2009
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Continuing Grant
SGER: Developing a New Experimental Technique for Quantitative Nanotwin Microstructure Characterization by Using In-Situ Diffraction
SGER:利用原位衍射开发定量纳米孪晶微观结构表征的新实验技术
  • 批准号:
    1002521
  • 财政年份:
    2009
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant
Symposium: Domain Microstructures and Mechanisms for Advanced Properties in Phase Transforming Materials; Pittsburgh, PA; October 25-29, 2009
研讨会:相变材料中的域微观结构和先进性能机制;
  • 批准号:
    0968669
  • 财政年份:
    2009
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant

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  • 批准号:
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