IUSE/PFE:RED: PPSE - Transforming Programmers to Professional Software Engineers through Curricular Innovation, Inclusive Pedagogy, and Faculty Development
IUSE/PFE:RED:PPSE - 通过课程创新、包容性教学法和教师发展将程序员转变为专业软件工程师
基本信息
- 批准号:1730568
- 负责人:
- 金额:$ 200万
- 依托单位:
- 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:2017-07-01 至 2023-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Many computer science departments in general, and less-research-intensive departments in particular, experience high dropout of undergraduate students. This is particularly worrisome given that the US Bureau of Labor Statistics predicts that by 2020, half of all STEM jobs will be in computing. Several research advances and technological innovations have fundamentally changed the computing discipline in recent years. Such advances include cloud and mobile computing, web technologies, high-performance computing, social media, big data, and machine learning. Similar advances have also occurred in learning science and educational technologies. Learning science informs how students actually learn and educational technologies leverage mobile computing and learning analytics to enable formal and informal learning. Millennial students learn differently and the above advances provide unprecedented opportunities to enhance student learning. This project seeks to dramatically improve computer science students' retention and graduation rates through a transformational process that involves curricular innovations, design and development of inclusive pedagogy, and faculty development. Both technical and professional skills will be interspersed throughout the curriculum to better prepare them for industry careers. The project addresses diversity in student learning through personalization and enables a significant increase in the participation of underrepresented groups in computing education and careers. Lastly, the project strives to increase the number of transfer students from community colleges and early college high schools completing undergraduate computing degrees in universities. The results of the project will be widely disseminated across the country to help other computer science departments improve their students' success.The goals of the project are (1) transform the programming-centric computer science education approach to a systems-oriented and software engineering-centric one, (2) infuse professional skills development process into the entire curriculum, (3) dramatically increase retention and graduation rates, (4) recruit significantly more students from underrepresented groups (5) personalize teaching and learning in both formal and informal settings, and (6) work with community colleges and early college high schools in the region to increase the number of transfer students and enhance their success in college. The project is both innovative and revolutionary. The project will design a non-course-centric curriculum, develop an innovative and inclusive pedagogy, use free and open-source software to provide a compelling and contextualized teaching and learning environment. Professional skills development will be interspersed throughout the curriculum through team projects, internship and co-op opportunities, undergraduate research and entrepreneurship, and professional networking. The project will improve retention and graduation rates by employing research-based approaches such as providing motivating and inviting academic environment, proactive efforts in student advising and degree planning, and fostering positive faculty-student relationships. Participation of underrepresented groups will be significantly increased through collaborative partnerships with community colleges and early college high schools. Personalization of teaching and learning materials will be achieved through structuring and development of materials through fine-granular authoring and semantic markup. To overcome faculty resistance barriers, the project employs a change model which is based on Appreciative Inquiry, which reflects local context and constraints. The change model drives the research questions we investigate in the project. It takes an unprecedented, bold, and systemic approach to the professional formation of software engineers.
一般来说,许多计算机科学系,特别是研究密集度较低的系,本科生的辍学率很高。鉴于美国劳工统计局预测,到2020年,一半的STEM工作岗位将在计算机领域,这一点尤其令人担忧。近年来,一些研究进展和技术创新从根本上改变了计算学科。这些进步包括云计算和移动计算、网络技术、高性能计算、社交媒体、大数据和机器学习。在学习科学和教育技术方面也取得了类似的进展。学习科学告诉学生实际如何学习,教育技术利用移动计算和学习分析来实现正式和非正式学习。千禧一代的学生学习方式不同,上述进步提供了前所未有的机会来加强学生的学习。该项目寻求通过一个涉及课程创新、包容性教学法的设计和开发以及教师发展的转型过程,显著提高计算机科学专业学生的留校率和毕业率。技术和专业技能将穿插在整个课程中,以更好地为行业职业生涯做准备。该项目通过个性化解决学生学习的多样性问题,并使未被充分代表的群体更多地参与计算机教育和职业。最后,该项目努力增加来自社区学院和大学预科高中的转学学生完成大学本科计算学位的人数。该项目的结果将在全国范围内广泛传播,以帮助其他计算机科学系提高他们的学生的成功。该项目的目标是:(1)将以编程为中心的计算机科学教育方法转变为以系统为中心和以软件工程为中心的方法;(2)将专业技能发展过程融入整个课程;(3)显著提高保留率和毕业率;(4)从代表性不足的群体中招收更多的学生;(5)在正式和非正式环境中实现教与学的个性化,(6)与区域内的社区学院和大学预科高中合作,增加转学人数,提高他们的大学成就率。该项目既具有创新性,又具有革命性。该项目将设计一个不以课程为中心的课程,开发一种创新和包容性的教学方法,使用免费和开放源码软件来提供一个引人注目的和有背景的教学环境。专业技能发展将通过团队项目、实习和合作机会、本科生研究和创业以及专业网络贯穿整个课程。该项目将通过采用以研究为基础的方法来提高留校率和毕业率,例如提供激励和邀请的学术环境,在学生建议和学位规划方面积极努力,以及培养积极的师生关系。通过与社区大学和大学预科高中建立合作伙伴关系,代表人数不足的群体的参与将大大增加。将通过细粒度创作和语义标记对材料进行结构化和开发,从而实现教学材料的个性化。为了克服教师的阻力,该项目采用了一种基于鉴赏性探究的变革模式,它反映了当地的背景和限制。变革模型推动了我们在项目中调查的研究问题。它采取了一种前所未有的、大胆的和系统的方法来形成软件工程师的职业结构。
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)
Cognitive Computing Systems: Their Potential and the Future
- DOI:10.1109/mc.2019.2904940
- 发表时间:2019-05
- 期刊:
- 影响因子:2.2
- 作者:V. Gudivada;Sharath Pankanti;G. Seetharaman;Yu Zhang
- 通讯作者:V. Gudivada;Sharath Pankanti;G. Seetharaman;Yu Zhang
An approach for detecting groundwater runoff connectivity using cluster analysis
- DOI:10.1109/smc.2017.8122982
- 发表时间:2017-10
- 期刊:
- 影响因子:0
- 作者:Xiaojun Kang;Xuguang Zhao;Caixia Guo;Junhua Ding
- 通讯作者:Xiaojun Kang;Xuguang Zhao;Caixia Guo;Junhua Ding
A Deep Learning Architecture for Corpus Creation for Telugu Language
用于泰卢固语语料库创建的深度学习架构
- DOI:10.1007/978-981-15-4029-5_1
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Dhana L. Rao, Venkatesh R.
- 通讯作者:Dhana L. Rao, Venkatesh R.
Backward design: Integrating active learning into undergraduate computer science courses
逆向设计:将主动学习融入本科计算机科学课程
- DOI:10.1080/2331186x.2023.2204055
- 发表时间:2023
- 期刊:
- 影响因子:1.6
- 作者:Liao, Yin-Chan;Ringler, Marjorie
- 通讯作者:Ringler, Marjorie
ISPeL: A topic dependency-driven system for personalized learning
ISPeL:用于个性化学习的主题依赖驱动系统
- DOI:10.1109/icsc50631.2021.00081
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Gudivada, Venkat N;Herndon, Nic;Rao, Dhana
- 通讯作者:Rao, Dhana
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