Collaborative Research: RETTL: Story Studio: Coaching Data Storytelling at Scale

协作研究:RETTL:故事工作室:指导大规模数据讲故事

基本信息

  • 批准号:
    2302795
  • 负责人:
  • 金额:
    $ 36.96万
  • 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:
    2023-08-01 至 2026-07-31
  • 项目状态:
    未结题

项目摘要

Professionals in data science and analytics excel in data storytelling, a complex skill of communicating stories using data. If done well, data storytelling can enhance public understanding, decision-making, and action. However, postsecondary educators in data science have not been able to train data storytellers effectively at a large scale. To address this issue, researchers from the University of Alabama and the University of Maryland, Baltimore County, and learning scientists from SRI Education are working together on this project to create, develop, and test Story Studio. This platform aims to augment data science educators’ capacity to teach their students the skill of data storytelling.This project features four phases: 1) Extracting knowledge from data science professionals through structured interview methods grounded in Evidence-Centered Design and Cognitive Task Analysis, developing design patterns of key data storytelling steps and competencies, and engaging postsecondary educators and students in vetting the concept and design of Story Studio. 2) Iterative development and small-scale beta testing of Story Studio’s basic architecture for coaching elementary aspects of data storytelling. 3) Expanding beta testing to comprise more advanced Story Studio functionalities, namely, intelligent recommendations and assessments to support students in the story construction process. 4) Conducting classroom pilot studies of Story Studio in data science/analytics courses at two campuses and evaluating the new tool’s effectiveness in improving students’ data storytelling competencies. Research products about Story Studio will be disseminated through education and outreach activities such as storytelling workshops on the researchers’ university campuses, community college partnerships, and teacher training workshops. Finally, the software, algorithms, and de-identified log data will be shared through an open-source database, contributing to learning science and analytics research in data storytelling.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.
数据科学和分析的专业人士在数据讲故事中表现出色,可以增强公众的理解,决策和行动来自阿拉巴马大学和巴尔的摩大学的大学,以及来自SRI教育的学习科学家正在共同创建该项目,并测试平台增强数据教育工作者的能力。 :1)以循证设计为基础的结构化访谈方法从数据科学中提取)迭代开发和小型beta测试对ATA讲故事的教练基本架构的基本体系结构。在两个校园中,数据科学/分析学的故事。识别日志将分享开源数据库,为数据的学习科学和分析研究做出了贡献。

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)

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Lujie Chen其他文献

Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities
乘坐情感过山车:幼儿数学问题解决活动的多模式研究
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lujie Chen;Xin Li;Z. Xia;Zhanmei Song;Louis;A. Dubrawski
  • 通讯作者:
    A. Dubrawski
Biocontrol potential of an artificial synthetic bacterial consortium against peony root rot disease
人工合成菌群对牡丹根腐病的生物防治潜力
  • DOI:
    10.1016/j.biocontrol.2024.105563
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Jianing Tian;Minhuan Zhang;Yu Huang;Xiaoning Luo;Fengxia Shao;Weiqun Lei;Wen Xing;Lujie Chen;Linghui Huang;Chunwen Tan;Wenxuan Bu;Xingyu Yang;Bowen Wang;Liping Qin
  • 通讯作者:
    Liping Qin
Assurance process for sustainability reporting: Towards a conceptual framework
可持续发展报告的保证流程:迈向概念框架
  • DOI:
    10.1016/j.jclepro.2022.134156
  • 发表时间:
    2022-09
  • 期刊:
  • 影响因子:
    11.1
  • 作者:
    Min Yan;Fu Jia;Lujie Chen;Fangxu Yan
  • 通讯作者:
    Fangxu Yan
Does R&D intensity promote the adoption of circular supply chain management? Evidence from China
是否R
  • DOI:
    10.1016/j.indmarman.2021.10.015
  • 发表时间:
    2021-11
  • 期刊:
  • 影响因子:
    10.3
  • 作者:
    Xiaohong Chen;Lujie Chen;Mengqi Jiang;Ji Yan
  • 通讯作者:
    Ji Yan
A C-GAN denoising algorithm in Projection Domain for Micro-CT
Micro-CT投影域中的C-GAN去噪算法
  • DOI:
    10.32604/mcb.2019.07386
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lujie Chen;Liang Zheng;Maosen Lian;Shouhua Luo
  • 通讯作者:
    Shouhua Luo

Lujie Chen的其他文献

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