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

基本信息

  • 批准号:
    2111113
  • 负责人:
  • 金额:
    $ 24.16万
  • 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:
    2021-07-01 至 2024-06-30
  • 项目状态:
    已结题

项目摘要

This project aims to serve the national interest by improving undergraduate student success in computer science courses. To do so, it will study relationships between student success and the course climate and teaching practices of their computer science courses. It will further analyze these relationships for students with intersecting identities, such as women who are first generation college students. Many STEM classrooms feature passive learning approaches and intentionally or unintentionally establish create competitive course climates that inhibit collaboration. Alternative teaching approaches that encourage collaboration and active learning are gaining traction in many undergraduate computing programs. Studies have generally indicated a positive relationship between collaborative active learning and increased student learning outcomes. However, implementation of active learning varies and the results on student learning have been inconsistent. It is possible that the inconsistencies may reflect differential impacts of competitive, passive learning on groups of students with specific intersecting identities. This project aims to explore the relationship between active learning and cooperative course climate on students with intersecting identities, including race, gender, and social class. The knowledge generated by this research has the potential to improve student success in computer science and thus broaden participation of individuals from groups that are not yet equitably represented in computing.This project identifies course structure and sociality as two major components of course climate. Course structure includes features such as the course timeline, expectations for attendance or participation, and how grades are determined. Sociality involves forming and working in supportive communities. The project uses the constructs of course structure and sociality to capture pedagogical components that faculty select and combine in their adoption active learning approaches. Correlations will then be identified between these active learning components and student outcomes, and will be used to explore differential outcomes across intersectional student identities. This knowledge may help instructors select active learning strategies that would lead to more effective student learning, or combine elements of structure and sociality to develop new promising pedagogies in undergraduate computing education. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. This project is 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.
该项目旨在通过提高本科生在计算机科学课程中的成功来服务于国家利益。要做到这一点,它将研究学生的成功和他们的计算机科学课程的课程气氛和教学实践之间的关系。 它将进一步分析这些关系的学生与交叉身份,如妇女谁是第一代大学生。 许多STEM教室采用被动学习方法,并有意或无意地建立竞争性课程氛围,抑制合作。 鼓励协作和主动学习的替代教学方法在许多本科计算课程中越来越受欢迎。研究普遍表明,积极合作的学习和提高学生的学习成果之间的积极关系。 然而,主动学习的实施情况各不相同,对学生学习的结果也不一致。这种不一致性可能反映了竞争性的被动学习对具有特定交叉身份的学生群体的不同影响。 本研究旨在探讨具有种族、性别、社会阶层等多重身份认同的学生,其主动学习与合作课程气氛之间的关系。这项研究所产生的知识有可能提高学生在计算机科学的成功,从而扩大个人的参与,从团体尚未公平代表在computing.This项目确定课程结构和社会性作为课程气候的两个主要组成部分。课程结构包括课程时间轴、出勤或参与的期望以及如何确定成绩等功能。 社会性包括在支持性社区中形成和工作。该项目使用的课程结构和社会性的结构,以捕捉教师选择和联合收割机在他们采用主动学习方法的教学成分。然后,这些积极的学习组件和学生的成绩之间的相关性将被确定,并将被用来探索跨交叉学生身份的差异结果。这些知识可以帮助教师选择积极的学习策略,这将导致更有效的学生学习,或联合收割机的结构和社会性的元素,以开发新的有前途的教学在本科计算教育。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。该项目是在学生学习的轨道,通过该IUSE计划支持创建,探索和实施有前途的做法和工具。   该奖项反映了NSF的法定使命,并被认为是值得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的支持。

项目成果

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Jamie Payton其他文献

Improvement in Lactation with Traditional Chinese Medicine and Western Herbal Medicine : A Case Study
中药和西药改善哺乳情况:案例研究
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Kassianos;E. Ward;A. Rojas;Allison N. Kurti;F. Mitchell;Dian Nostikasari;Jamie Payton;Julian Pascal;C. Spears;C. Notley
  • 通讯作者:
    C. Notley
HCCS 2020: 2nd Workshop on Human-Centered Computational Sensing - Program
HCCS 2020:第二届以人为中心的计算传感研讨会 - 议程
A Termination Detection Protocol for Use in Mobile Ad Hoc Networks
  • DOI:
    10.1023/b:ause.0000049209.28933.b3
  • 发表时间:
    2005-01-01
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Gruia-Catalin Roman;Jamie Payton
  • 通讯作者:
    Jamie Payton
Mirror Mentoring: Black Women’s Experiences Serving as Mentors for Black Girls During a Virtual Computer Science Camp
镜像指导:黑人女性在虚拟计算机科学营中担任黑人女孩导师的经历
Research on Equity and Sustained Participation in Engineering, Computing, and Technology, RESPECT 2020, Portland, OR, USA, March 10-11, 2020
工程、计算和技术领域的公平和持续参与研究,RESPECT 2020,美国俄勒冈州波特兰,2020 年 3 月 10-11 日

Jamie Payton的其他文献

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{{ truncateString('Jamie Payton', 18)}}的其他基金

Collaborative Research: Conference: 2023 CISE Education and Workforce PI and Community Meeting
协作研究:会议:2023 年 CISE 教育和劳动力 PI 和社区会议
  • 批准号:
    2318592
  • 财政年份:
    2023
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Standard Grant
Collaborative Research: CSforAll:RPP: Expanding Inclusive CS Education through the Jumpstarting Philadelphia CSforAll Researcher Practitioner Partnership
合作研究:CSforAll:RPP:通过启动费城 CSforAll 研究人员实践者合作伙伴关系扩大包容性计算机科学教育
  • 批准号:
    2219443
  • 财政年份:
    2022
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Standard Grant
Addressing Preparation Gaps and Promoting Culturally Relevant Teaching to Support Diverse Groups in Computing Courses
解决准备差距并促进文化相关的教学,以支持不同群体的计算机课程
  • 批准号:
    2142314
  • 财政年份:
    2022
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Standard Grant
Collaborative Research: Conference: 2022 CISE Education and Workforce PI and Community Meetings
协作研究:会议:2022 年 CISE 教育和劳动力 PI 和社区会议
  • 批准号:
    2224226
  • 财政年份:
    2022
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Standard Grant
REU Site: Research Experiences in Pervasive Computing for Smart Health, Safety, and Well-being
REU 网站:普适计算促进智能健康、安全和福祉的研究经验
  • 批准号:
    2150152
  • 财政年份:
    2022
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Standard Grant
S-STEM Research Hub: Investigating How Low-Income Students Approach Non-Tuition Expenses
S-STEM 研究中心:调查低收入学生如何处理非学费费用
  • 批准号:
    2137824
  • 财政年份:
    2022
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Continuing Grant
Collaborative Research: BPC-AE: STARS: Catalyzing Action-Oriented Academic Communities for Broadening Participation in Computing
协作研究:BPC-AE:STARS:催化以行动为导向的学术社区,扩大计算参与
  • 批准号:
    2137338
  • 财政年份:
    2021
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Continuing Grant
PECSI: Pathways for Equitable Computer Science Instruction
PECSI:公平计算机科学教学的途径
  • 批准号:
    2122510
  • 财政年份:
    2021
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Standard Grant
Democratizing Access to the Emerging Interdisciplinary Tech Workforce for Low-Income Science Majors
使低收入科学专业的新兴跨学科技术劳动力民主化
  • 批准号:
    2130101
  • 财政年份:
    2021
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Standard Grant
Collaborative Research: CSforAll:RPP: Jumpstarting Philadelphia CSforAll through a Researcher Practitioner Partnership
协作研究:CSforAll:RPP:通过研究人员从业者合作伙伴关系推动费城 CSforAll
  • 批准号:
    2031342
  • 财政年份:
    2020
  • 资助金额:
    $ 24.16万
  • 项目类别:
    Standard Grant

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