An Instructional Tool to Foster Creativity in the Software Engineering Process

培养软件工程过程中创造力的教学工具

基本信息

  • 批准号:
    0757434
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-06-01 至 2011-05-31
  • 项目状态:
    已结题

项目摘要

Curriculum standards for Computer Science (CS) education typically lack creative approaches to Software Engineering, focusing on technological solutions rather than innovative design. Software Engineering is a highly creative endeavor that challenges CS student abilities to establish an innovative vision and to craft an outstanding product. Accountability for and contribution to creative initiatives are not part of grading methods in typical Software Engineering course. This project develops a collaborative framework that encourages and captures the creative discourse of a software project team as they form a vision, acquire useful technology, and implement a non-trivial product to satisfy customer requirements using the definition and analysis of an idea network. Generating and manipulating the network based on ideas as the core creative concept will provide both a visual feedback and a peer response to the creative discourse needed within the software development process. Reinforcement learning techniques are adapted for generating incremental rewards during software development to motivate, recognize, and require creativity, using the idea network as a communication and exploration medium. Real life situations often require learning from environmental feedback or reinforcements, with or without the presence of knowledgeable supervisors who can prescribe the best course of action. This project develops an approach to encouraging and rewarding creativity in a collaborative process that will be applicable to a broad range of collaborative and learning environments.
计算机科学(CS)教育的课程标准通常缺乏对软件工程的创造性方法,侧重于技术解决方案而不是创新设计。软件工程是一个高度创造性的努力,挑战计算机科学学生的能力,建立一个创新的愿景和制作一个优秀的产品。在典型的软件工程课程中,对创造性活动的责任和贡献并不是评分方法的一部分。这个项目开发了一个协作框架,鼓励并捕捉软件项目团队的创造性话语,因为他们形成了一个愿景,获得了有用的技术,并实现了一个重要的产品,以满足客户的需求,使用了一个想法网络的定义和分析。以创意为核心创意概念来生成和操纵网络,将为软件开发过程中所需的创意话语提供视觉反馈和同行响应。强化学习技术适用于在软件开发过程中产生增量奖励,以激励、识别和要求创造力,使用思想网络作为交流和探索媒介。现实生活中的情况往往需要从环境反馈或强化中学习,无论是否有知识渊博的主管在场,他们都可以规定最佳的行动方案。本项目开发了一种在协作过程中鼓励和奖励创造力的方法,该方法将适用于广泛的协作和学习环境。

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 }}

Rosanne Gamble其他文献

Rosanne Gamble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('Rosanne Gamble', 18)}}的其他基金

EAGER: Collaborative: Toward a Test Bed for Heavy Vehicle Cyber Security Experimentation
EAGER:协作:迈向重型车辆网络安全实验的试验台
  • 批准号:
    1619690
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Integration Architecture Theory
集成架构理论
  • 批准号:
    9988320
  • 财政年份:
    2000
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Experimentation Platform for Detecting and Resolving Interoperability Problems
检测和解决互操作性问题的实验平台
  • 批准号:
    9708643
  • 财政年份:
    1997
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

相似海外基金

I-Corps: Translation Potential of an Objective and Customizable Concussion Assessment and Rehabilitation Tool for Specialized Populations
I-Corps:针对特殊人群的客观且可定制的脑震荡评估和康复工具的转化潜力
  • 批准号:
    2348910
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER: The next crisis for coral reefs is how to study vanishing coral species; AUVs equipped with AI may be the only tool for the job
合作研究:EAGER:珊瑚礁的下一个危机是如何研究正在消失的珊瑚物种;
  • 批准号:
    2333604
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Capacity Assessment, Tracking, & Enhancement through Network Analysis: Developing a Tool to Inform Capacity Building Efforts in Complex STEM Education Systems
能力评估、跟踪、
  • 批准号:
    2315532
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
The development and evaluation of a digital role playing game (RPG) as a tool to support foreign language learning
作为支持外语学习工具的数字角色扮演游戏(RPG)的开发和评估
  • 批准号:
    24K04095
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Screen4SpLDs - Development of an Automated Pre-Screening Tool for Specific Learning Disabilities in Children.
Screen4SpLDs - 开发针对儿童特定学习障碍的自动预筛查工具。
  • 批准号:
    EP/Y002121/1
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Research Grant
Automating a novel multi-tool additive and subtractive manufacturing platform for micrometre-resolution prototyping across diverse industries
自动化新型多工具增材和减材制造平台,用于跨不同行业的微米分辨率原型制作
  • 批准号:
    10097846
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Collaborative R&D
HoloSurge: Multimodal 3D Holographic tool and real-time Guidance System with point-of-care diagnostics for surgical planning and interventions on liver and pancreatic cancers
HoloSurge:多模态 3D 全息工具和实时指导系统,具有护理点诊断功能,可用于肝癌和胰腺癌的手术规划和干预
  • 批准号:
    10103131
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    EU-Funded
N2Vision+: A robot-enabled, data-driven machine vision tool for nitrogen diagnosis of arable soils
N2Vision:一种由机器人驱动、数据驱动的机器视觉工具,用于耕地土壤的氮诊断
  • 批准号:
    10091423
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Collaborative R&D
LeicSurvey: A digital survey tool for the heritage sector
LeicSurvey:遗产部门的数字调查工具
  • 批准号:
    ES/Y011147/1
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Research Grant
A Novel Contour-based Machine Learning Tool for Reliable Brain Tumour Resection (ContourBrain)
一种基于轮廓的新型机器学习工具,用于可靠的脑肿瘤切除(ContourBrain)
  • 批准号:
    EP/Y021614/1
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了