Improving Programming Skills of Engineering Students at Historically Black Colleges and Universities Using AI-enhanced Personalized Adaptive Learning Tools

使用人工智能增强的个性化自适应学习工具提高传统黑人学院和大学工程专业学生的编程技能

基本信息

  • 批准号:
    2236002
  • 负责人:
  • 金额:
    $ 13.97万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

This project aims to serve the national interest by building online Artificial Intelligence (AI) enhanced personalized adaptive learning (PAL) tools to improve engineering students' programming skills at Historically Black Colleges and Universities (HBCUs). Programming skills are imperative for various simulations in engineering education. As the COVID-19 pandemic has fundamentally changed course delivery methods, online teaching tools have become indispensable. The project team plans to develop a series of online learning modules for programming teaching and learning, recommend PAL paths via deep reinforcement learning, and build a smart programming assistant (SPA) using AI techniques to improve student learning. The proposed online AI enhanced PAL tools have the potential to integrate a PAL pedagogy with AI techniques such as reinforcement learning to explore how to recommend PAL learning paths and produce appropriate reference source codes for engineering students. The project team intends to work on three primary tasks. First is to develop basic online tools with open application programming interfaces that are able to connect with novel AI algorithms to improve student learning. Second is to recommend PAL paths using deep reinforcement learning to maximize learners' engagement in programming learning at proper difficulty levels. Third, and finally, is to design an SPA via deep learning-based language models to generate reference codes to help learners with programming activities. The proposed tools have the potential to help to teach other engineering courses. The team intends to disseminate their project results at various webinars, open-source repositories, and education conferences. The proposed tools would be shared with other HBCUs and institutions. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its 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.
该项目旨在通过构建在线人工智能(AI)增强的个性化自适应学习(PAL)工具来服务于国家利益,以提高历史上黑人学院和大学(HBCU)的工程专业学生的编程技能。编程技能对于工程教育中的各种模拟至关重要。随着COVID-19疫情从根本上改变了课程交付方式,在线教学工具变得不可或缺。项目团队计划开发一系列用于编程教学和学习的在线学习模块,通过深度强化学习推荐PAL路径,并使用AI技术构建智能编程助手(SPA)以改善学生的学习。拟议的在线人工智能增强PAL工具有可能将PAL教学法与强化学习等人工智能技术相结合,以探索如何推荐PAL学习路径并为工程专业学生提供适当的参考源代码。 项目小组打算开展三项主要任务。首先是开发具有开放应用程序编程接口的基本在线工具,这些工具能够与新颖的人工智能算法连接,以改善学生的学习。其次是使用深度强化学习推荐PAL路径,以最大限度地提高学习者在适当难度水平下的编程学习参与度。第三,也是最后一点,是通过基于深度学习的语言模型来设计SPA,以生成参考代码来帮助学习者进行编程活动。所提出的工具有可能帮助教授其他工程课程。该团队打算在各种网络研讨会、开源知识库和教育会议上传播他们的项目成果。拟议的工具将与其他HBCU和机构共享。NSF IUSE:EDU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。该奖项反映了NSF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

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Yujian Fu其他文献

Formal Modeling and Analysis of Autonomous Robotics System Using Z
使用 Z 的自主机器人系统的形式化建模和分析
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yujian Fu;Nithin Yama;Zhijiang Dong
  • 通讯作者:
    Zhijiang Dong
An approach to validation of software architecture model
一种软件架构模型验证方法
An integrated framework for ensuring the quality of software design
确保软件设计质量的集成框架
  • DOI:
    10.25148/etd.fi15101455
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yujian Fu
  • 通讯作者:
    Yujian Fu
Consensus statement on Brillouin light scattering microscopy of biological materials
关于生物材料布里渊光散射显微镜的共识声明
  • DOI:
    10.1038/s41566-025-01681-6
  • 发表时间:
    2025-07-03
  • 期刊:
  • 影响因子:
    32.900
  • 作者:
    Pierre Bouvet;Carlo Bevilacqua;Yogeshwari Ambekar;Giuseppe Antonacci;Joshua Au;Silvia Caponi;Sophie Chagnon-Lessard;Juergen Czarske;Thomas Dehoux;Daniele Fioretto;Yujian Fu;Jochen Guck;Thorsten Hamann;Dag Heinemann;Torsten Jähnke;Hubert Jean-Ruel;Irina Kabakova;Kristie Koski;Nektarios Koukourakis;David Krause;Salvatore La Cavera;Timm Landes;Jinhao Li;Hadi Mahmodi;Jeremie Margueritat;Maurizio Mattarelli;Michael Monaghan;Darryl R. Overby;Fernando Perez-Cota;Emanuele Pontecorvo;Robert Prevedel;Giancarlo Ruocco;John Sandercock;Giuliano Scarcelli;Filippo Scarponi;Claudia Testi;Peter Török;Lucie Vovard;Wolfgang J. Weninger;Vladislav Yakovlev;Seok-Hyun Yun;Jitao Zhang;Francesca Palombo;Alberto Bilenca;Kareem Elsayad
  • 通讯作者:
    Kareem Elsayad
An approach to analyzing adaptive intelligent vehicle system using SMT solver
使用SMT求解器分析自适应智能车辆系统的方法

Yujian Fu的其他文献

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{{ truncateString('Yujian Fu', 18)}}的其他基金

Collaborative Research: CUE-T: Broadening Participation in Computing via Active Learning Strategies in Multi-Institution Online Synchronous Learning Environments
协作研究:CUE-T:通过多机构在线同步学习环境中的主动学习策略扩大计算参与
  • 批准号:
    2246008
  • 财政年份:
    2023
  • 资助金额:
    $ 13.97万
  • 项目类别:
    Standard Grant
Collaborative Research: Engaged Student Learning - Design and Development Level II: Using a Cyberlearning Environment to Improve Student Learning and Engagement in Software Courses
协作研究:学生参与学习 - 设计和开发第二级:使用网络学习环境提高学生对软件课程的学习和参与度
  • 批准号:
    1525120
  • 财政年份:
    2015
  • 资助金额:
    $ 13.97万
  • 项目类别:
    Continuing Grant
EDU: Collaborative: Enhancing Pervasive and Mobile Computing Security Education With Research Integration
EDU:协作:通过研究整合加强普及和移动计算安全教育
  • 批准号:
    1419295
  • 财政年份:
    2014
  • 资助金额:
    $ 13.97万
  • 项目类别:
    Standard Grant
Type 2 Collaborative Project: Integrating Testing into Advanced CS/IT Courses Supported by a Cyberlearning Environment
类型 2 协作项目:将测试集成到网络学习环境支持的高级 CS/IT 课程中
  • 批准号:
    1225654
  • 财政年份:
    2012
  • 资助金额:
    $ 13.97万
  • 项目类别:
    Standard Grant

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Improving Programming Skills of Engineering Students at Historically Black Colleges and Universities Using AI-enhanced Personalized Adaptive Learning Tools
使用人工智能增强的个性化自适应学习工具提高传统黑人学院和大学工程专业学生的编程技能
  • 批准号:
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Expansion of Coding and Digital Skills Programming to Under-served Communities
将编码和数字技能编程扩展到服务不足的社区
  • 批准号:
    545235-2019
  • 财政年份:
    2021
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Class development with an active learning support environment for acquiring programming skills when connecting high-school to university education
通过积极的学习支持环境进行班级发展,以便在将高中教育与大学教育联系起来时获得编程技能
  • 批准号:
    21K18505
  • 财政年份:
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利用3D打印机培养编程思维能力的可能性研究
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  • 财政年份:
    2019
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Expansion of Coding and Digital Skills Programming to Under-served Communities
将编码和数字技能编程扩展到服务不足的社区
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  • 财政年份:
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SBIR Phase I: Computer Science for All with Spreadsheet Modeling: Researching How Low-Cost Video Training for STEM Teachers Leads to High-Value Programming Skills for Students
SBIR 第一阶段:通过电子表格建模为所有人提供计算机科学:研究 STEM 教师的低成本视频培训如何为学生带来高价值的编程技能
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Social skills acquisition and programming skills development to support employment for people with developmental disabilities
社交技能获取和编程技能发展,以支持发育障碍人士的就业
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  • 财政年份:
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