I-Corps: A flexible learning and assessment tool based on a skill mastery approach
I-Corps:基于技能掌握方法的灵活学习和评估工具
基本信息
- 批准号:2133470
- 负责人:
- 金额:$ 5万
- 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:2021-06-01 至 2023-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project will serve the national interest by improving the ability of universities to train a globally competitive STEM (Science, Technology, Engineering, and Mathematics) workforce. The core technology in this project provides students with the opportunity to practice questions in a personalized environment until mastery is achieved. The technology also makes it easy for instructors to incorporate frequent and second chance testing while scaling to support more students. These pedagogical strategies have been shown to reduce the failure rates in STEM classes and could disproportionately benefit women, minorities, first-generation students, and students of low socio-economic status. Helping these students can improve retention efforts, in general, and for diverse students, in particular. The commercial potential of this project includes capturing a significant fraction of the rapidly-growing university education technology market with potential markets worldwide as well as in non-university education sectors.This I-Corps project aims to develop a Software as a Service (SaaS) online platform for creating and delivering learning experiences and assessments for students, with a focus on university-level STEM (Science, Technology, Engineering, and Mathematics) courses. The platform allows instructors to easily combine adaptive, rule-based and artificial intelligence (AI) algorithms to generate and grade different randomized versions of activities and assessments. It includes novel AI auto-grading algorithms for complex question types including symbolic mathematics, interactive student drawing, live coding, and natural language input. The core algorithms advance the state of the art in three key ways: (1) The use of AI auto-grading can entirely eliminate the use of human graders in university courses, dramatically reducing staffing levels and costs, and enabling expansion to larger and more diverse student populations; (2) The platform deters cheating with a set of novel algorithms; and (3) The platform uses sophisticated grading algorithms that incentivize mastery learning and that lead to substantial improvements in learning outcomes.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.
这个I-Corps项目的更广泛的影响/商业潜力将通过提高大学培养具有全球竞争力的STEM(科学,技术,工程和数学)劳动力的能力来服务于国家利益。该项目的核心技术为学生提供了在个性化环境中练习问题的机会,直到掌握为止。 该技术还使教师可以轻松地将频繁和第二次机会测试结合起来,同时扩展以支持更多的学生。这些教学策略已被证明可以降低STEM课程的失败率,并且可以不成比例地使妇女,少数民族,第一代学生和社会经济地位低下的学生受益。帮助这些学生可以提高保留的努力,一般来说,并为不同的学生,特别是。该项目的商业潜力包括在快速增长的大学教育技术市场中占据相当大的份额,该市场具有全球以及非大学教育领域的潜在市场。该I-Corps项目旨在开发一个软件即服务(SaaS)在线平台,用于为学生创建和提供学习体验和评估,重点是大学级别的STEM(科学,技术,工程和数学)课程。该平台允许教师轻松地将联合收割机自适应、基于规则和人工智能(AI)算法相结合,以生成和评分活动和评估的不同随机版本。它包括针对复杂问题类型的新颖AI自动评分算法,包括符号数学,交互式学生绘图,实时编码和自然语言输入。核心算法在三个关键方面推进了最先进的技术:(1)使用人工智能自动评分可以完全消除大学课程中使用人类评分员,大大降低人员配备水平和成本,并能够扩展到更大和更多样化的学生群体;(2)该平台通过一套新颖的算法阻止作弊;以及(3)该平台使用复杂的评分算法,激励掌握学习,并导致学习成果的实质性改善。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的评估来支持。影响审查标准。
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 }}
Mariana Silva其他文献
Topology optimization under stochastic loads via the Single Loop Method
通过单环法进行随机负载下的拓扑优化
- DOI:
10.2514/6.2008-2288 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Mariana Silva;D. Tortorelli - 通讯作者:
D. Tortorelli
Infections in children with down syndrome and acute myeloid leukemia: a report from the Canadian infections in AML research group
唐氏综合症和急性髓性白血病儿童的感染:加拿大 AML 感染研究小组的报告
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:3.7
- 作者:
T. Tran;D. Mitchell;D. Dix;S. Cellot;M. Ethier;B. Gillmeister;J. Hitzler;V. Lewis;R. Yanofsky;D. Johnston;C. Portwine;V. Price;S. Zelcer;Mariana Silva;B. Michon;L. Bowes;K. Stobart;J. Brossard;J. Beyene;L. Sung - 通讯作者:
L. Sung
Topology optimization with regards to system reliability
针对系统可靠性的拓扑优化
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Mariana Silva;D. Tortorelli;Julián A. Norato;Ha - 通讯作者:
Ha
Expression of sialyl-Tn sugar antigen in bladder cancer cells affects response to Bacillus Calmette Guérin (BCG) and to oxidative damage.
膀胱癌细胞中唾液酸-Tn 糖抗原的表达影响对卡介苗 (BCG) 和氧化损伤的反应。
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
P. Severino;Mariana Silva;M. Carrascal;N. Malagolini;M. Chiricolo;Giulia Venturi;A. Astolfi;Mariangela Catera;P. Videira;F. dall’Olio - 通讯作者:
F. dall’Olio
Ependymoma in children under the age of 3 years: a report from the Canadian Pediatric Brain Tumour Consortium
3 岁以下儿童的室管膜瘤:加拿大小儿脑肿瘤联盟的报告
- DOI:
10.1007/s11060-014-1396-3 - 发表时间:
2014 - 期刊:
- 影响因子:3.9
- 作者:
Eve Purdy;D. Johnston;U. Bartels;C. Fryer;A. Carret;B. Crooks;D. Eisenstat;L. Lafay;Valérie Larouche;B. Wilson;S. Zelcer;Mariana Silva;E. Bouffet;D. Keene;D. Strother - 通讯作者:
D. Strother
Mariana Silva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('Mariana Silva', 18)}}的其他基金
Enhancing Equity and Access Via Digitally-mediated Collaborative Learning Experiences
通过数字化协作学习体验增强公平性和获取机会
- 批准号:
2121412 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
相似国自然基金
A study on prototype flexible multifunctional graphene foam-based sensing grid (柔性多功能石墨烯泡沫传感网格原型研究)
- 批准号:
- 批准年份:2020
- 资助金额:20 万元
- 项目类别:
相似海外基金
Toward next-generation flexible and interpretable deep learning: A novel evolutionary wide dendritic learning
迈向下一代灵活且可解释的深度学习:一种新颖的进化广泛的树突学习
- 批准号:
23K24899 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
mPFC Regulation of VTA Dopamine and GABA Neuronal Activity During Flexible Updating of Appetitive and Aversive Associations
mPFC 在灵活更新食欲和厌恶关联过程中对 VTA 多巴胺和 GABA 神经元活动的调节
- 批准号:
10748174 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Collaborative Research: Learning-Assisted Estimation and Management of Flexible Energy Resources in Active Distribution Networks
合作研究:主动配电网络中灵活能源的学习辅助估计和管理
- 批准号:
2313768 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CRII: SHF: A Flexible, Learning-Enabled, and Multi-layer Interconnection Architecture for Optimized On-Chip Communications
CRII:SHF:一种灵活的、支持学习的多层互连架构,用于优化片上通信
- 批准号:
2245950 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Role of coordinated multi-area reactivations during transitions between automatic and flexible behaviors.
在自动行为和灵活行为之间转换期间协调的多区域重新激活的作用。
- 批准号:
10721280 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Neural basis of flexible decisions in naturalistic environments
自然环境中灵活决策的神经基础
- 批准号:
10723707 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
FREEpHRI: Flexible, Robust and Efficient physical Human-robot Interaction with iterative learning and self-triggered role adaption
FREEpHRI:灵活、稳健、高效的物理人机交互,具有迭代学习和自我触发的角色适应能力
- 批准号:
EP/V057782/2 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Fellowship
Collaborative Research: Learning-Assisted Estimation and Management of Flexible Energy Resources in Active Distribution Networks
合作研究:主动配电网络中灵活能源的学习辅助估计和管理
- 批准号:
2313767 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
"Common Sense" and flexible learning in AI agents: Do current AI agents possess the "basic skills" necessary for them to enter the workforce?
AI智能体的“常识”和灵活学习:当前的AI智能体是否具备进入劳动力市场所需的“基本技能”?
- 批准号:
2884814 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Studentship