Integrating an Artificial Intelligence-Driven, Culturally Responsible Digital Graphic Novel Curriculum into STEM Introductory Biology Courses
将人工智能驱动、对文化负责的数字图画小说课程融入 STEM 生物学入门课程
基本信息
- 批准号:2234281
- 负责人:
- 金额:$ 30万
- 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:2023-03-01 至 2026-02-28
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project aims to serve the national interest by implementing a novel approach to engage and retain students in STEM. Traditional classroom-focused programs often fail to adequately stimulate interest in STEM and STEM-based research, especially for minority groups underrepresented in their pursuit of STEM fields of study. However, hands-on focused classrooms have been shown to increase minority and female participation in STEM. The use of graphic novels is another hands-on, practical proven technique, as such artifacts are a learning medium that combines both text and visuals to improve student performance. However, the creation of a custom graphic novel can be time-consuming. Thus, this project will focus on using an artificial intelligence/natural language processing (AI/NLP) approach to develop a digital graphic novel curriculum that is personalized to the cultural background and challenge level of the user. The target group of students comprises freshman and sophomores taking a Principles of Biology course because the first two years of college are considered potential “leaks” in the STEM pipeline. The proposed research will develop a prototype of the front-end student experience and workflows for digital interaction with a graphic novel curriculum through an intuitive, web-based interface design. An educational curriculum, content, and engaging humor will be integrated with navigation tools to enable transitions into, within, and between different graphical-comedic lessons. The envisioned web app will be developed, tested, and produced on Amazon Web Services. Platform architecture will be composed of three components: electronic data sourcing, student web interface, and a back-end AI engine. This approach will address a paucity of data on the impact of using an effective learning modality such as graphic novels with a predominately historically disadvantaged population in the STEM fields. The success of this project will create a reproducible method for effectively designing, producing, and integrating a customized, culturally responsive graphic novel using an AI/NLP-driven platform into inquiry-based STEM classes, as well as determining its efficacy and impact on student learning gains and STEM course retention. Project findings may have additional implications for increasing minority STEM participation in upper class biology courses and for disciplines outside of biology. The NSF IUSE: EHR 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.
该项目旨在通过实施一种新颖的方法来吸引和留住STEM学生,从而为国家利益服务。传统的以课堂为中心的课程往往无法充分激发人们对STEM和基于STEM的研究的兴趣,特别是对于那些在追求STEM研究领域方面代表性不足的少数群体。然而,实践重点课堂已被证明可以增加少数民族和女性对STEM的参与。图形小说的使用是另一种实践证明的技术,因为这些文物是一种结合文本和视觉效果的学习媒介,可以提高学生的表现。然而,创建自定义图形小说可能是耗时的。因此,该项目将专注于使用人工智能/自然语言处理(AI/NLP)方法来开发数字图形小说课程,该课程根据用户的文化背景和挑战水平进行个性化。学生的目标群体包括大一和大一学生,他们正在学习生物学原理课程,因为大学的前两年被认为是STEM管道中潜在的“泄漏”。 拟议的研究将开发一个原型的前端学生的经验和工作流程,通过直观的,基于Web的界面设计与图形小说课程的数字互动。教育课程,内容和引人入胜的幽默将与导航工具相结合,以实现不同图形喜剧课程之间的过渡。设想中的Web应用程序将在Amazon Web Services上开发、测试和生产。平台架构将由三个部分组成:电子数据源、学生网络界面和后端AI引擎。这种方法将解决缺乏数据的影响,使用有效的学习方式,如图形小说与STEM领域的主要历史弱势群体。该项目的成功将创建一种可重复的方法,用于有效地设计,生产和整合定制的,文化响应的图形小说,使用AI/NLP驱动的平台进入基于探究的STEM课程,以及确定其功效和对学生学习收益和STEM课程保留的影响。项目研究结果可能会对增加少数STEM参与上层生物课程和生物学以外的学科产生额外的影响。 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
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 }}
Shayla Williams其他文献
Shayla Williams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 }}
相似海外基金
Development of a new educational system integrating artificial intelligence and cognitive science in cystoscopy
开发融合人工智能和认知科学的膀胱镜检查新教育系统
- 批准号:
23K08710 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
FMSG:BIO: Integrating Artificial Intelligence with Bioprinting for Future Manufacturing of Organoids
FMSG:BIO:将人工智能与生物打印相结合,用于未来类器官的制造
- 批准号:
2229156 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Modeling geospatial processes: Integrating artificial intelligence with complexity, networks and geographic information sciences
地理空间过程建模:将人工智能与复杂性、网络和地理信息科学相结合
- 批准号:
RGPIN-2017-03939 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Discovery Grants Program - Individual
Integrating Artificial Intelligence for Optimal Analysis of CardiacPET/CT
集成人工智能以优化心脏 PET/CT 分析
- 批准号:
10593858 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Integrating Artificial Intelligence for Optimal Analysis of CardiacPET/CT
集成人工智能以优化心脏 PET/CT 分析
- 批准号:
10708921 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Integrating artificial intelligence, operations research, and big data analytics for decision and risk analysis
集成人工智能、运筹学和大数据分析进行决策和风险分析
- 批准号:
RGPIN-2018-05988 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Discovery Grants Program - Individual
Integrating artificial intelligence, operations research, and big data analytics for decision and risk analysis
集成人工智能、运筹学和大数据分析进行决策和风险分析
- 批准号:
RGPIN-2018-05988 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Discovery Grants Program - Individual
Development of a web-based predictive model of nanoparticle delivery to tumors by integrating physiologically-based pharmacokinetic modeling with artificial intelligence
通过将基于生理学的药代动力学模型与人工智能相结合,开发基于网络的纳米粒子递送至肿瘤的预测模型
- 批准号:
10180594 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Modeling geospatial processes: Integrating artificial intelligence with complexity, networks and geographic information sciences
地理空间过程建模:将人工智能与复杂性、网络和地理信息科学相结合
- 批准号:
RGPIN-2017-03939 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Discovery Grants Program - Individual
EAGER: SaTC-EDU: Integrating Cybersecurity into Artificial Intelligence Education
EAGER:SaTC-EDU:将网络安全融入人工智能教育
- 批准号:
2115028 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant