Collaborative Research: Cheminformatics OLCC

合作研究:化学信息学 OLCC

基本信息

  • 批准号:
    1140146
  • 负责人:
  • 金额:
    $ 4.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-09-01 至 2015-08-31
  • 项目状态:
    已结题

项目摘要

The collaborative project between the University of Arkansas Little Rock and Indiana University is using Web 2.0 and social networking methods to create an OnLine Chemistry Course (OLCC) in the area of cheminformatics. By leveraging distributed expertise, the project is enabling institutions to educate undergraduate chemists in a skill set that is rapidly increasing in importance to society. In addition to filling a subject gap within the curriculum, the project team is providing an exemplar for a teaching method that can be extended to other areas of undergraduate science education.The artfully constructed and implemented OLCC is based on prior experience with less demanding offerings. It enables institutions of higher education to teach a class in the emerging area of effective use of computational and informatics techniques as part of the scientific discovery process. Beyond providing state-of-the-art undergraduate educational opportunities at the PIs' institutions, the project is making the cheminformatics materials available to institutions that wish to participate in the hybrid course wherein a facilitator at each participating institution is responsible for the local students grades and assessment. An additional intellectual merit of this sharing of experience is the latent faculty development that occurs as the non-expert facilitators gain experience in the content delivered by the distant experts. Simultaneously, the community is developing experience in and appreciation of new digital learning modalities that are increasingly comfortable to the new generation of 'free-agent learners'. The OLCC is leading to the development of modules and digital Teaching and Learning Objects that are coded with meta data, retrievable via national and international archival mechanisms, and which can be repurposed and distributed into other curricular environments. The use of experts distributed beyond one campus or one country is educating current students by a new model that makes traditional boundaries of historical interest only. The on-line component of the hybrid course, with its many-lecturer-to-many-student components, coupled with nurtured student-to-student interactions will aid in the building of a diversified community. The OLCC design is developing modern instructional opportunities that extend beyond the traditional classroom and that industrial learners, non-traditional learners, and distance-learners can all utilize in ways that meet their unique needs.
阿肯色州小石城大学和印第安纳大学的合作项目正在使用Web 2.0和社交网络方法创建化学信息学领域的在线化学课程(OLCC)。通过利用分布的专业知识,该项目使机构能够在一套对社会重要性迅速增加的技能中教育本科生化学家。除了填补课程中的学科空白,该项目团队还为一种可以扩展到本科科学教育其他领域的教学方法提供了一个范例。巧妙地构建和实施OLCC是基于先前的经验,提供要求较低的产品。它使高等教育机构能够在有效利用计算和信息学技术的新兴领域教授一门课程,作为科学发现过程的一部分。除了在私立学校提供最先进的本科教育机会外,该项目还向希望参加混合课程的机构提供化学信息学材料。在混合课程中,每个参与机构的一名辅导员负责本地学生的评分和评估。这种经验分享的另一个智力价值是潜在的教师发展,当非专家主持人在远程专家提供的内容中获得经验时就会发生这种情况。与此同时,社区正在发展对新的数字学习模式的体验和欣赏,这些新的数字学习模式越来越适合新一代的“自由球员学习者”。OLCC正在开发用元数据编码的模块和数字教学目标,可通过国家和国际档案机制检索,并可重新调整用途并分发到其他课程环境中。使用分布在一个校园或一个国家以外的专家,是在用一种新的模式教育当前的学生,这种模式只把传统的历史兴趣界限划开。混合课程的在线部分,以及多讲师对多学生的部分,加上培养的学生对学生的互动,将有助于建立一个多元化的社区。OLCC的设计正在开发超越传统课堂的现代教学机会,工业学习者、非传统学习者和远程学习者都可以以满足其独特需求的方式利用这些机会。

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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David Wild其他文献

Design for manufacturing: use of a spreadsheet model of manufacturability to optimize product design and development
  • DOI:
    10.1007/s00163-003-0030-8
  • 发表时间:
    2003-03-21
  • 期刊:
  • 影响因子:
    1.900
  • 作者:
    James La Trobe-Bateman;David Wild
  • 通讯作者:
    David Wild
Imperfectionist Aesthetics in Art and Everyday Life
艺术与日常生活中的不完美主义美学
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Peter Cheyne;Andy Hamilton;Gordon Graham;Ted Gioia;David Wild;Lara Pearson;Karen lang;Eda Keskin;Kaz Oishi;Yasuo Kobayashi;Gregory Dunne;Fiona Tomkinson;Joseph S. O'Leary;Yuriko Saito;Thomas Docherty;James Kirway;Lucas Scripter;Laura Di S
  • 通讯作者:
    Laura Di S

David Wild的其他文献

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{{ truncateString('David Wild', 18)}}的其他基金

Bayesian modelling for developmental systems biology
发育系统生物学的贝叶斯建模
  • 批准号:
    EP/R014337/1
  • 财政年份:
    2017
  • 资助金额:
    $ 4.5万
  • 项目类别:
    Research Grant
iPlant UK
英国 iPlant
  • 批准号:
    BB/M018431/1
  • 财政年份:
    2015
  • 资助金额:
    $ 4.5万
  • 项目类别:
    Research Grant
Bayesian Computation in Systems and Synthetic Biology
系统和合成生物学中的贝叶斯计算
  • 批准号:
    EP/J020281/1
  • 财政年份:
    2013
  • 资助金额:
    $ 4.5万
  • 项目类别:
    Research Grant
Managing the Data Explosion in Post-Genomic Biology with Fast Bayesian Computational Methods
使用快速贝叶斯计算方法管理后基因组生物学中的数据爆炸
  • 批准号:
    EP/F027400/1
  • 财政年份:
    2008
  • 资助金额:
    $ 4.5万
  • 项目类别:
    Research Grant
BioCmp: Reconstructing Metabolic and Transcriptional Networks using Bayesian State Space Models
BioCmp:使用贝叶斯状态空间模型重建代谢和转录网络
  • 批准号:
    0524331
  • 财政年份:
    2005
  • 资助金额:
    $ 4.5万
  • 项目类别:
    Continuing Grant

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