RET Site: Research Experiences for Teachers in Big Data

RET 网站：大数据教师的研究经验

• 批准号: 1710716
• 负责人: Paul Oh
• 金额: $ 60万
• 依托单位: University of Nevada Las Vegas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1710716&HistoricalAwards=false
• 关键词: RET; Site; Research; Experiences; Teachers

This award establishes a new Research Experiences for Teachers (RET) Site focused on Big Data at the University of Nevada - Las Vegas (UNLV). The project involves a partnership between UNLV and the local Clark County School District (CCSD). Cohorts of high school teachers in the areas of computer science and technology will participate in summer research projects with UNLV faculty mentors who are actively involved in current research that uses Big Data. The research projects will focus on topics such as Big Data analytics for the next generation of transportation systems and multimodal data analytics for mobile health. The participating teachers will translate their research experiences and knowledge into classroom practice by developing instructional modules and course materials that they will introduce in their classrooms and share with other teachers in their school district. These activities all contribute to the formation of a community of practice between UNLV faculty and local educators that has the potential to significantly enhance and improve computer science and technology education in the Clark County School District.RET participants will attend a 6-week summer institute on the UNLV campus to participate in cutting-edge research projects with mentoring from computer science faculty who lead projects that involve Big Data techniques and analytics. The RET Site research topics focus on projects which involve activities such as data collecting, data representation, data visualization, and machine learning. These are all areas that are of increasing importance in our data-centric world for teachers and K-12 students. The RET Site project will provide a platform for the participating teachers to develop problem-based instructional materials and laboratory modules that they will share with other teachers in their school district. The excitement of learning about Big Data and related research can inspire the high school students to pursue further computing education and related careers. The RET Site program will strengthen ongoing partnerships between UNLV and the Clark County School District and lay the foundation for quality computing education in the schools and provide for the future computing workforce needs of the community.

该奖项在内华达州-拉斯维加斯大学（UNLV）建立了一个新的教师研究经验（RET）网站，专注于大数据。该项目涉及UNLV和当地克拉克县学区（CCSD）之间的伙伴关系。 计算机科学和技术领域的高中教师将与UNLV的教师导师一起参加夏季研究项目，他们积极参与使用大数据的当前研究。 这些研究项目将侧重于下一代交通系统的大数据分析和移动的健康的多模式数据分析等主题。 参与教师将通过开发教学模块和课程材料，将他们的研究经验和知识转化为课堂实践，他们将在课堂上介绍，并与学区的其他教师分享。这些活动都有助于UNLV教师和当地教育工作者之间的实践社区的形成，有可能显着提高和改善克拉克县学区的计算机科学和技术教育。RET参与者将参加UNLV校园为期6周的暑期研究所，参加切割-边缘研究项目，由计算机科学教师指导，他们领导涉及大数据技术和分析的项目。RET网站的研究主题集中在涉及数据收集，数据表示，数据可视化和机器学习等活动的项目。 这些都是在我们以数据为中心的世界中对教师和K-12学生越来越重要的领域。可再生能源技术网站项目将为参与的教师提供一个平台，以开发基于问题的教学材料和实验模块，他们将与所在学区的其他教师分享。学习大数据和相关研究的兴奋可以激励高中生进一步追求计算教育和相关职业。 RET网站计划将加强UNLV和克拉克县学区之间正在进行的合作伙伴关系，为学校的高质量计算教育奠定基础，并为社区未来的计算劳动力需求提供支持。

项目成果

Towards Tattoo Previewing and Other Augmented/Mixed Reality Applications with Microsoft Kinect

使用 Microsoft Kinect 实现纹身预览和其他增强/混合现实应用程序

• 发表时间: 2019
• 期刊: IEEE 9th Annual Computing and Communication Workshop and Conference
• 作者: Alexia Dreher, Alex Sanchez

Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators

• DOI: 10.1109/access.2018.2845876
• 发表时间: 2018-01-01
• 期刊: IEEE ACCESS
• 影响因子: 3.9
• 作者: Chiu, Carter;Zhan, Justin
• 通讯作者: Zhan, Justin

Computer Vision for Attendance and Emotion Analysis in School Settings

计算机视觉在学校环境中的出勤和情绪分析

• 发表时间: 2019
• 期刊: IEEE 9th Annual Computing and Communication Workshop and Conference
• 作者: Sarah Deniz, Dakyung Lee

T-RECSYS: A Novel Music Recommendation System Using Deep Learning

• DOI: 10.1109/icce.2019.8662028
• 发表时间: 2019-01
• 期刊: 2019 IEEE International Conference on Consumer Electronics (ICCE)
• 作者: Ferdos Fessahaye;Luis Perez;Tiffany Zhan;Raymond Zhang-;C. Fossier;Robyn Markarian;Carter Chiu;J. Zhan;L. Gewali;Paul Y. Oh

Deep Learning Based Shopping Assistant For The Visually Impaired

• DOI: 10.1109/icce.2019.8662011
• 发表时间: 2019-01
• 期刊: 2019 IEEE International Conference on Consumer Electronics (ICCE)
• 作者: Daniel Pintado;Vanessa Sanchez;Erin Adarve;Mark Mata;Zekeriya Gogebakan;Bunyamin Cabuk;Carter Chiu;J. Zhan;L. Gewali;Paul Y. Oh