Data-Driven, Human-in-the-Loop Support for Facilitating Participatory Learning Activities

数据驱动的人机交互支持，促进参与式学习活动

基本信息

批准号：
1822864
负责人：
Katherine McMillan
金额：
$ 40.07万
依托单位：
New York Hall of Science
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2023-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1822864&HistoricalAwards=false
关键词：
Data Driven Human Loop Support

项目摘要

Museums are increasingly developing digital learning experiences where visitors generate interesting usage data, but these data are rarely used to support learning. This project poses a "human-in-the-loop" model of facilitation where museum experts are provided with data visualizations and other feedback derived by mining exhibit use data. These visuals will be used as coaching support for facilitators as they help visitors make sense of the rich learning experiences that digital exhibits now offer. While this approach is immediately relevant to museum learning, human-in-the-loop systems represent a new take on cyberlearning systems that will be applicable to many other formal and informal STEM learning environments that demand immediate, just-in-time reflection that is guided by an expert observer.The intervention will be used in the context of an open-ended, participatory exhibit that invites up to 50 visitors at a time to manipulate a simulated ecosystem, with the goal of having visitors engage with concepts related to sustainability and complex systems by exploring emergent phenomena. Open-ended learning experiences are common to museum exhibits but are under-studied in the Educational Data Mining (EDM) community. This research will add to the growing EDM literature on open-ended problems and provide insights for how museum exhibits can be designed to supply data that can be useful for analytics and data mining. A goal of this research is to develop and refine a typology of the forms of information that museum and other facilitators working with real-time data can make sense of and act on, which could be used to inform both the analytics and the software design for future tools to facilitate learning.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.

博物馆越来越多地开发数字学习体验，游客可以生成有趣的使用数据，但这些数据很少用于支持学习。该项目提出了一种“人机交互”的促进模式，为博物馆专家提供数据可视化以及通过挖掘展品使用数据而获得的其他反馈。这些视觉效果将用作辅导员的指导支持，因为它们可以帮助参观者了解数字展览现在提供的丰富学习体验。虽然这种方法与博物馆学习直接相关，但人机循环系统代表了网络学习系统的一种新方式，它将适用于许多其他需要立即、及时反思的正式和非正式 STEM 学习环境，即该干预措施将在一个开放式、参与性展览的背景下使用，该展览一次邀请最多 50 名参观者来操纵模拟生态系统，目的是让参观者参与与可持续性和可持续发展相关的概念。通过探索新兴现象来复杂系统。开放式学习体验在博物馆展览中很常见，但在教育数据挖掘 (EDM) 社区中尚未得到充分研究。这项研究将丰富有关开放式问题的 EDM 文献，并为如何设计博物馆展品以提供可用于分析和数据挖掘的数据提供见解。这项研究的目标是开发和完善博物馆和其他处理实时数据的服务者可以理解并采取行动的信息形式的类型，这可以用于为分析和软件设计提供信息。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Studying Shared Regulation in Immersive Learning Environments

研究沉浸式学习环境中的共享监管

DOI：
发表时间：
2021-06
期刊：
Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021
影响因子：
0
作者：
Levy;Mallavarapu, A.;Lyons, L.;Uzzo, S.
通讯作者：
Uzzo, S.

Formative Fugues: Reconceptualizing Formative Feedback for Complex Systems Learning Environments

形成性赋格：重新概念化复杂系统学习环境的形成性反馈

DOI：
发表时间：
2021-01
期刊：
International journal of complexity in education
影响因子：
0
作者：
Mallavarapu, A.;Lyons, L.;Uzzo, S.
通讯作者：
Uzzo, S.

Exploration Maps, Beyond Top Scores: Designing Formative Feedback for Open-Ended Problems

探索地图，超越最高分：为开放式问题设计形成性反馈

DOI：
发表时间：
2020-07
期刊：
Proceedings of The 13th International Conference on Educational Data Mining
影响因子：
0
作者：
Mallavarapu; A.
通讯作者：
A.

Design Considerations for Data-Driven Dashboards: Supporting Facilitation Tasks for Open-Ended Learning

数据驱动仪表板的设计注意事项：支持开放式学习的促进任务

DOI：
10.1145/3334480.3382871
发表时间：
2020-04
期刊：
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
影响因子：
0
作者：
Beheshti, Elham;Lyons, Leilah;Mallavarapu, Aditi;Wallingford, Betty;Uzzo, Stephen
通讯作者：
Uzzo, Stephen

Connect-to-Connected Worlds: Piloting a Mobile, Data-Driven Reflection Tool for an Open-Ended Simulation at a Museum

连接到连接的世界：在博物馆试用移动、数据驱动的反射工具进行开放式模拟

DOI：
10.1145/3290605.3300237
发表时间：
2019-05
期刊：
CHI '19 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
影响因子：
0
作者：
Mallavarapu, Aditi;Lyons, Leilah;Uzzo, Stephen;Thompson, Wren;Levy;Slattery, Brian
通讯作者：
Slattery, Brian