IUSE/PFE:RED: The Connected Learner: Design Patterns for Transforming Computing and Informatics Education

IUSE/PFE:RED:互联学习者:变革计算和信息学教育的设计模式

基本信息

  • 批准号:
    1519160
  • 负责人:
  • 金额:
    $ 200万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-06-01 至 2021-09-30
  • 项目状态:
    已结题

项目摘要

The Connected Learner project at the University of North Carolina at Charlotte is a re-orientation of undergraduate computing and informatics education to focus on student learning that connects to peers, the profession, and the community. The project vision is to transform the student entering an undergraduate computing and informatics program from a person with an interest in computing - to a person with an identity as a computing professional. The project will transform faculty attitude towards education, shifting their attitudes and behaviors away from knowledge transmission and lecturing toward a refreshed approach of developing educational activities that scaffold the computing knowledge and skills to build successful computing professionals. The project will catalyze and sustain this transition with the identification of pedagogical design patterns to guide all faculty teaching courses in the undergraduate computing and informatics curriculum. Innovative teaching and assessment practices will be implemented across an entire undergraduate computing and informatics curriculum, demonstrating the applicability and efficacy of these practices across a student body; which is diverse in terms of socio-economic status and demographics. The project will develop taxonomies and design patterns for knowledge and assessment to facilitate scaling and disseminating educational innovation in computing. Additionally, the project will examine the key factors in building a sustainable practice of educational innovation, which includes faculty attitudinal shifts and infrastructures to support and sustain learning practices. The project will evaluate and disseminate pedagogical practices and lessons learned. The broader impacts of this project are: educational impact on a diverse student population (first time college students, ethnic diversity, GPA diversity); community impact on high schools and other partners in STARSComputingCorps.org; and professional impact on providing the talent pool for the region and the country in IT (including: data science, cyber security, visual analytics, and human centered design). Key outcomes from the Connected Learner project are anticipated to be: an increase in the quality of education provided to a diverse population of computing students, improved retention and graduation rates, the provision of a regional and national talent pool in computing, and the integration of pedagogical research with faculty development and advancement. The project will disseminate educational design patterns, best practice examples, and scholarly publications for educational change and faculty development through a publicly available online resource, as well as through journals, conferences, blogs, and social network publications.
位于夏洛特的北卡罗来纳州大学的Connected Learner项目是对本科计算和信息学教育的重新定位,重点关注学生学习与同龄人,专业和社区的联系。该项目的愿景是将进入本科计算和信息学课程的学生从对计算感兴趣的人转变为具有计算专业身份的人。该项目将改变教师对教育的态度,将他们的态度和行为从知识传播和讲课转向开发教育活动的更新方法,这些活动将计算机知识和技能构建成成功的计算机专业人员。该项目将促进和维持这一转变与教学设计模式的识别,以指导所有教师在本科计算和信息学课程的教学课程。创新的教学和评估实践将在整个本科计算和信息学课程中实施,展示这些实践在学生群体中的适用性和有效性;这在社会经济地位和人口统计学方面是多样化的。该项目将为知识和评估开发分类法和设计模式,以促进扩大和传播计算方面的教育创新。此外,该项目还将研究建立可持续的教育创新实践的关键因素,其中包括教师态度的转变和支持和维持学习实践的基础设施。该项目将评价和传播教学实践和经验教训。该项目更广泛的影响是:对多样化学生群体(第一次上大学的学生,种族多样性,GPA多样性)的教育影响;对高中和STARSComputingCorps.org上的其他合作伙伴的社区影响;以及为该地区和国家提供IT人才库的专业影响(包括:数据科学,网络安全,视觉分析和以人为本的设计)。连接学习者项目的主要成果预计将是:提高教育质量提供给不同的人口计算的学生,提高保留率和毕业率,提供一个区域和国家人才库的计算,教学研究与教师的发展和进步的整合。该项目将通过公开的在线资源以及期刊、会议、博客和社交网络出版物传播教育设计模式、最佳实践范例和促进教育变革和教师发展的学术出版物。

项目成果

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Mary Lou Maher其他文献

Enabling Investigation of Impacts of Inclusive Collaborative Active Learning Practices on Intersectional Groups of Students in Computing Education
调查包容性协作主动学习实践对计算机教育中交叉学生群体的影响
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sri Yash Tadimalla;Celine Latulipe;Mary Lou Maher;Marlon Mejias;Jamie Payton;A. Rorrer;John Fiore;G. Kwatny;Andrew Rosen
  • 通讯作者:
    Andrew Rosen
Risks and benefits of mass screening for colorectal neoplasia with the stool guaiac test
通过粪便愈创木脂试验大规模筛查结直肠肿瘤的风险和益处
  • DOI:
  • 发表时间:
    1983
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Winchester;Joanne Sylvester;Mary Lou Maher
  • 通讯作者:
    Mary Lou Maher
An Exploratory Study on the Impact of AI tools on the Student Experience in Programming Courses: an Intersectional Analysis Approach
人工智能工具对学生编程课程体验影响的探索性研究:交叉分析方法
Implications of Identity in AI: Creators, Creations, and Consequences
人工智能中身份的含义:创造者、创造和后果
  • DOI:
    10.1609/aaaiss.v3i1.31268
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sri Yash Tadimalla;Mary Lou Maher
  • 通讯作者:
    Mary Lou Maher
A Grassroots Mammography Demonstration Project Targeted to Medically Underserved Rural and Urban Illinois Women of Diverse Races and Ethnicity
针对医疗服务不足的伊利诺伊州农村和城市不同种族和族裔妇女的草根乳房X光检查示范项目
  • DOI:
    10.1111/j.1524-4741.1997.tb00137.x
  • 发表时间:
    1997
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lola Flamm;Arthur G. Michel;H. J. Lasky;Mary Lou Maher;Joanne Sylvester;Stephen F. Sener
  • 通讯作者:
    Stephen F. Sener

Mary Lou Maher的其他文献

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{{ truncateString('Mary Lou Maher', 18)}}的其他基金

Conference: NSF Workshop: Expanding Capacity and Diversity in AI Education
会议:NSF 研讨会:扩大人工智能教育的能力和多样性
  • 批准号:
    2330257
  • 财政年份:
    2023
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
Examining the Effects of Course Climate, Active Learning, and Intersectional Identities on Undergraduate Student Success in Computing
检查课程气氛、主动学习和交叉身份对本科生计算机成功的影响
  • 批准号:
    2111376
  • 财政年份:
    2021
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
I-Corps: Digital Platform for Informal Learning Experiences to Encourage Curiosity in STEM Career Paths
I-Corps:提供非正式学习体验的数字平台,鼓励对 STEM 职业道路的好奇心
  • 批准号:
    2031900
  • 财政年份:
    2020
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
Collaborative Research: Developing a Systemic, Scalable Model to Broaden Participation in Middle School Computer Science
合作研究:开发系统的、可扩展的模型以扩大中学计算机科学的参与
  • 批准号:
    1837240
  • 财政年份:
    2018
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
EAGER: An Interactive Learning Analytics Framework based on a Student Sequence Model for understanding students, retention, and time to graduation
EAGER:基于学生序列模型的交互式学习分析框架,用于了解学生、保留率和毕业时间
  • 批准号:
    1820862
  • 财政年份:
    2018
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
RI: Small: CompCog: Pique: A Cognitive Model of Curiosity for Personalizing Sequences of Learning Resources
RI:小:CompCog:Pique:用于个性化学习资源序列的好奇心认知模型
  • 批准号:
    1618810
  • 财政年份:
    2016
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
AISL: Innovations in Development: Community-Driven Projects That Adapt Technology for Environmental Learning in Nature Preserves
AISL:发展创新:社区驱动的项目,采用自然保护区环境学习技术
  • 批准号:
    1423212
  • 财政年份:
    2015
  • 资助金额:
    $ 200万
  • 项目类别:
    Continuing Grant
EAGER: Collaborative Research: A Computational Model for Evaluating the Quality of Citizen Science Contributions
EAGER:协作研究:评估公民科学贡献质量的计算模型
  • 批准号:
    1451079
  • 财政年份:
    2014
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
VOSS: Crowdsourcing interaction design for citizen science virtual organizations
VOSS:公民科学虚拟组织的众包交互设计
  • 批准号:
    1221513
  • 财政年份:
    2012
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
HCC: Small: Designing Tangible Computing for Creativity
HCC:小型:为创造力设计有形计算
  • 批准号:
    1218160
  • 财政年份:
    2012
  • 资助金额:
    $ 200万
  • 项目类别:
    Continuing Grant

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