Developing Integrated Teaching Platforms to Enhance Blended Learning in STEM

开发集成教学平台以增强 STEM 混合式学习

• 批准号: 1821475
• 负责人: Collin Lynch
• 金额: $ 59.75万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1821475&HistoricalAwards=false
• 关键词: Developing; Integrated; Teaching; Platforms; Enhance

In most college courses, students use multiple online tools to support collaboration and learning. However, little is known about how students navigate and integrate their use of online tools, or about the collective impact of using a specific set of online tools. This project aims address this knowledge gap by developing an open platform to collect, integrate, and analyze data from students' use of multiple online tools. This platform, called Concert, will actively track student progress, and allow instructors to identify students' help-seeking and collaboration behaviors. It will also enable research to develop a model of how students use the online resources that are available to them. It is expected that results of this project will increase understanding of students' help-seeking behaviors, study behaviors, and social relationships within classes, and how these behaviors and relationships affect student performance. Using open application programming interfaces, the Concert platform will gather data from commonly used systems, such as the Piazza forum, Jenkins Automated Grader, the GitHub submission system, MyDigitalHand, and Moodle. It will integrate data from these online tools and provide a single student interface for notifications and help seeking, as well as a single instructor interface for data analysis and student evaluation. It will monitor students' use of the online tools and their study habits, and respond with automated guidance. Although the project will initially focus on computer science courses, it is designed to support students in any other STEM field. The Concert platform will collect large sets of detailed, anonymous data about students' online actions and class performance, providing a rich dataset to support further educational research. If successful, this project has the potential to empower STEM students and broaden participation by reducing the complexity of selecting and using online tools, thus supporting increased student engagement and learning.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.

在大多数大学课程中，学生使用多种在线工具来支持协作和学习。 然而，很少有人知道学生如何导航和整合他们使用的在线工具，或使用一套特定的在线工具的集体影响。 该项目旨在通过开发一个开放平台来收集、整合和分析学生使用多种在线工具的数据，从而解决这一知识差距。 这个名为Concert的平台将积极跟踪学生的进步，并允许教师识别学生的求助和协作行为。它还将使研究开发一个模型，学生如何使用在线资源提供给他们。本研究的成果将有助于加深对学生的求助行为、学习行为、班级内的社会关系以及这些行为和关系如何影响学生成绩的理解。使用开放的应用程序编程接口，Concert平台将从常用的系统中收集数据，例如Piazza论坛，Jenkins Automated Grader，GitHub提交系统，MyDigitalHand和Moodle。它将整合来自这些在线工具的数据，并为通知和寻求帮助提供单一的学生界面，以及用于数据分析和学生评估的单一教师界面。它将监测学生对在线工具的使用情况及其学习习惯，并以自动指导作出回应。 虽然该项目最初将侧重于计算机科学课程，但它旨在支持任何其他STEM领域的学生。Concert平台将收集大量关于学生在线行为和课堂表现的详细匿名数据，为进一步的教育研究提供丰富的数据集。 如果成功的话，这个项目有可能通过减少选择和使用在线工具的复杂性来增强STEM学生的能力，扩大参与，从而支持增加学生的参与和学习。这个奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

PEDI-Piazza Explorer Dashboard for Intervention

PEDI-Piazza Explorer 干预仪表板

• 发表时间: 2021
• 期刊: 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC
• 作者: Akintunde, Ruth Okoilu;Limke, Ally;Barnes, Tiffany;Heckman, Sarah;Lynch, Collin
• 通讯作者: Lynch, Collin

How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses

预测模型可以推广到多大范围？

• DOI: 10.1109/tlt.2019.2911832
• 发表时间: 2019
• 期刊: IEEE Transactions on Learning Technologies
• 影响因子: 3.7
• 作者: Gitinabard, Niki;Xu, Yiqiao;Heckman, Sarah;Barnes, Tiffany;Lynch, Collin F.
• 通讯作者: Lynch, Collin F.

What You Say is Relevant to How You Make Friends: Measuring the Effect of Content on Social Connection

• 发表时间: 2019
• 作者: Yiqiao Xu;Niki Gitinabard;Collin Lynch;T. Barnes

What will you do next? A sequence analysis on the student transitions between online platforms in blended courses

• 发表时间: 2019-05
• 期刊: ArXiv
• 作者: Niki Gitinabard;S. Heckman;T. Barnes;Collin Lynch

Who Uses Office Hours?: A Comparison of In-Person and Virtual Office Hours Utilization

• DOI: 10.1145/3478431.3499334
• 发表时间: 2022-02
• 期刊: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1
• 作者: Zhi-cun Gao;S. Heckman;Collin Lynch