Identifying and Validating Interactive and Uncommon Characteristics of Retention and Success in Engineering Education

识别和验证工程教育中保留和成功的互动和不常见特征

基本信息

  • 批准号:
    1561496
  • 负责人:
  • 金额:
    $ 49.09万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-09-01 至 2020-08-31
  • 项目状态:
    已结题

项目摘要

This project targets three significant gaps in the current state of knowledge relevant to engineering retention and success: 1) lack of knowledge on engineering retention and success characteristics based on interactive, concurrent effects of multiple factors, 2) lack of knowledge about engineering retention and success characteristics based on the modeling of variable relations that exist for some but not all values of variables or are different for different value ranges of variables, and 3) lack of knowledge about uncommon engineering retention and success characteristics of outlier students who do not fall into common characteristics of engineering retention and success. The project will employ the new Partial-Value Association Discovery (PVAD) algorithm to identify common and uncommon characteristics of engineering retention and success. This project is supported by NSF's EHR Core Research (ECR) program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field.New findings from this project will enrich the understanding and knowledge of engineering retention and success, in comparison with existing findings based on effects of individual variables and all-value variable relations. The intervention with an engineering counseling and tracking program to help students development of the newly identified engineering retention and success characteristics will be developed and implemented. The intervention effects on students will be observed and analyzed to validate the new findings of engineering retention and success characteristics. The identification and validation of new engineering retention and success characteristics will provide guidelines to help more students achieve engineering retention and success across the nation, thus broadening the participation of more students in engineering fields.
该项目针对与工程保留和成功相关的当前知识状态中的三个重大差距:1)缺乏对工程保留和基于多因素交互、并发影响的成功特征的了解,(二)缺乏关于工程保留和成功特征的知识,这些特征基于变量关系的建模,这些变量关系存在于一些变量值中,但不是所有变量值,或者对于不同的变量值范围,和3)缺乏知识的不寻常的工程保留和成功的特点,离群学生谁不属于工程保留和成功的共同特征。该项目将采用新的部分值关联发现(PVAD)算法来识别工程保留和成功的常见和不常见特征。该项目由NSF的EHR核心研究(ECR)计划支持。ECR项目强调基础STEM教育研究,产生该领域的基础知识。与基于单个变量和全值变量关系的现有研究结果相比,该项目的新发现将丰富对工程保留和成功的理解和知识。工程咨询和跟踪计划的干预,以帮助学生发展新确定的工程保留和成功的特点将被开发和实施。通过观察和分析对学生的干预效果,验证工程保持和成功特征的新发现。新的工程保留和成功特征的识别和验证将提供指导方针,以帮助更多的学生实现工程保留和全国各地的成功,从而扩大更多的学生在工程领域的参与。

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 }}

Nong Ye其他文献

The Partial-Value Association Discovery Algorithm to Learn Multilayer Structural System Models From System Data
从系统数据中学习多层结构系统模型的偏值关联发现算法
A Markov Chain Model of Temporal Behavior for Anomaly Detection
  • DOI:
  • 发表时间:
    2000
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nong Ye
  • 通讯作者:
    Nong Ye
Robust intrusion tolerance in information systems
  • DOI:
    10.1108/09685220110366786
  • 发表时间:
    2001-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nong Ye
  • 通讯作者:
    Nong Ye
Information infrastructure of engineering collaboration in a distributed virtual enterprise
Multivariate Control Charts
  • DOI:
    10.1201/b15288-17
  • 发表时间:
    2013-07
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nong Ye
  • 通讯作者:
    Nong Ye

Nong Ye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('Nong Ye', 18)}}的其他基金

GOALI: Evaluation of System Integration Solutions for Computer-Aided Assembly Planning
GOALI:计算机辅助装配规划系统集成解决方案的评估
  • 批准号:
    9709533
  • 财政年份:
    1997
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Standard Grant
Research Initiation: A Cognitive Engineering Based Approachto the Interface Design of Decision Support Systems for Machine Fault Diagnosis
研究启动:基于认知工程的机器故障诊断决策支持系统界面设计方法
  • 批准号:
    9496257
  • 财政年份:
    1994
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Continuing Grant
Research Initiation: A Cognitive Engineering Based Approachto the Interface Design of Decision Support Systems for Machine Fault Diagnosis
研究启动:基于认知工程的机器故障诊断决策支持系统界面设计方法
  • 批准号:
    9210523
  • 财政年份:
    1992
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Continuing Grant

相似海外基金

Validating FilaChar Use in Wastewater Treatment
验证 FilaChar 在废水处理中的使用
  • 批准号:
    10106623
  • 财政年份:
    2024
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Launchpad
Validating the efficacy of SITREX in preventing heterotopic ossification
验证 SITREX 在预防异位骨化方面的功效
  • 批准号:
    MR/Z503782/1
  • 财政年份:
    2024
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Research Grant
NSF Postdoctoral Fellowship in Biology: Identifying and Validating Missing Links in the Global Bat-Virus Network
美国国家科学基金会生物学博士后奖学金:识别和验证全球蝙蝠病毒网络中缺失的环节
  • 批准号:
    2305782
  • 财政年份:
    2024
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Fellowship Award
Validating the Use of Point-Of-Care Diagnostics for Early Detection of Human Papillomavirus
验证床旁诊断在人乳头瘤病毒早期检测中的应用
  • 批准号:
    EP/Y003225/1
  • 财政年份:
    2024
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Research Grant
Innovating and Validating Scalable Monte Carlo Methods
创新和验证可扩展的蒙特卡罗方法
  • 批准号:
    DE240101190
  • 财政年份:
    2024
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Discovery Early Career Researcher Award
Validating the performance of graphene sensors using advanced metrology
使用先进计量学验证石墨烯传感器的性能
  • 批准号:
    10039216
  • 财政年份:
    2023
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Collaborative R&D
Collaborative Research: SaTC: CORE: Small: Measuring, Validating and Improving upon App-Based Privacy Nutrition Labels
合作研究:SaTC:核心:小型:测量、验证和改进基于应用程序的隐私营养标签
  • 批准号:
    2247952
  • 财政年份:
    2023
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Standard Grant
Developing and validating a training program to improve domain-specific working memory efficiency in second language.
开发和验证培训计划,以提高第二语言特定领域的工作记忆效率。
  • 批准号:
    23K17499
  • 财政年份:
    2023
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
A synthetic data and generative A.I approach to verifying and validating A.I
用于验证和验证人工智能的合成数据和生成人工智能方法
  • 批准号:
    10065801
  • 财政年份:
    2023
  • 资助金额:
    $ 49.09万
  • 项目类别:
    Collaborative R&D
Battery Materials R&D Centre of Excellence, UK: Validating the lithium refining process flowsheet and designing a facility for rapid scale up
电池材料研究
  • 批准号:
    10077163
  • 财政年份:
    2023
  • 资助金额:
    $ 49.09万
  • 项目类别:
    BEIS-Funded Programmes
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了