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CAREER: Building an Online Learning for Mastery System That Creates a Student-centered STEM Learning Environment

CAREER: Building an Online Learning for Mastery System That Creates a Student-centered STEM Learning Environment
职业:建立在线学习系统,打造以学生为中心的 STEM 学习环境
批准号:
1845436
负责人:
Zhongzhou Chen
金额:
$75.64万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-04-15 至 2025-03-31

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The project addresses three major challenges facing STEM higher education in the United States today: educating an increasingly diverse and non-traditional student population, producing at least 1 million additional STEM graduates, and reducing the cost of higher education. The goal of the project is to create a student-centered online learning system that has the the potential to allow every student to select and engage with learning resources that best suit their own backgrounds and learning needs. In this way, the online learning system could provide a personalized learning experience at a large scale. In addition, by enabling instructors to collaboratively design, create, share, and improve instructional resources, the project aims to develop the personalized online learning system without increasing (and possibly reducing) the cost of higher education for students. This online learning system may be most beneficial to first-generation college students, students from rural communities and from groups that are underrepresented in college, adult learners, and others who may be less prepared to succeed in college and who face significant financial or other difficulties in pursuit of higher education. At the core of the project is creation of an Online Learning for Mastery (OLM) system, which will be designed by combining the latest online learning technology with the concept of "mastery learning" design. Mastery Learning breaks down a topic into a sequence of learning modules that each contain formative assessment, instruction, and practice. This approach enables students to move through the material at their own pace. The OLM system will consist of multiple sequences of learning modules, with each module combining instructional resources with formative assessment, allowing students who have already mastered the content to quickly move ahead, while providing struggling students ample support and opportunities to catch up at their own pace. The OLM system has the potential to produce a large amount of data on each student's learning process. These data have better interpretability than what is collected from conventional online learning platforms. The project aims to develop analysis algorithms to extract rich information about student learning behavior and learning difficulties from the data. The data, in turn, will guide instructors and researchers in developing new instructional materials and platform features to help students become better self-regulated and motivated learners. The process is akin to civil engineers designing highway systems and safety features based on analysis of traffic data collected from GPS systems. The data collection capability of the OLM system serves as such a "learning GPS" for both instructors and students. Results from the project have the potential to contribute significant new knowledge to our understanding of student learning behavior in a self-paced online STEM learning environment, and to inform effective instructional designs to facilitate a student's learning process. The project proposes to create two online courses. The first course will be an online introductory college physics course serving as the online component of multiple blended format courses at the University of Central Florida. This course could potentially be shared between multiple institutions including six local state colleges in the Orlando area. The second course will be a development course designed for instructors, introducing them to the latest online learning technologies and research findings related to OLM and mastery learning, while attempting to build a community of instructors for creating, improving, sharing, and reusing OLM modules. This project has the potential not only to increase knowledge about effective online education but also to broaden participation in STEM fields by reducing education cost, increasing accessibility, and supporting multiple pathways to a STEM degree.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.
期刊论文(14)
专著(0)
科研奖励(0)
会议论文
Can Crowdsourcing Platforms Be Useful for Educational Research?
众包平台对教育研究有用吗?
DOI: 10.1145/3636555.3636897
发表时间: 2024
期刊: LAK '24: Proceedings of the 14th Learning Analytics and Knowledge Conference
影响因子: --
作者: [Wang, Karen D., Chen, Zhongzhou, Wieman, Carl]
通讯作者: Wieman, Carl
A Multi-Level Trace Clustering Analysis Scheme for Measuring Students’ Self-Regulated Learning Behavior in a Mastery-Based Online Learning Environment
用于测量学生在基于掌握的在线学习环境中自我调节学习行为的多级跟踪聚类分析方案
DOI: 10.1145/3506860.3506887
发表时间: 2022
期刊: LAK22: 12th International Learning Analytics and Knowledge Conference
影响因子: --
作者: [Zhang, Tom, Taub, Michelle, Chen, Zhongzhou]
通讯作者: Chen, Zhongzhou
Comparing student behavior in mastery and conventional style online physics homework
比较学生在掌握和传统在线物理作业中的行为
DOI: 10.1119/perc.2019.pr.guthrie
发表时间: 2020
期刊: Physics Education Research Conference 2019
影响因子: --
作者: [Guthrie, Matthew W., Chen, Zhongzhou]
通讯作者: Chen, Zhongzhou
Measuring the level of homework answer copying during COVID-19 induced remote instruction
测量 COVID-19 引发的远程教学期间作业答案抄写的水平
DOI: 10.1103/physrevphyseducres.18.010126
发表时间: 2022
期刊: Physical Review Physics Education Research
影响因子: 3.1
作者: [Chen, Zhongzhou]
通讯作者: Chen, Zhongzhou
10
    国内基金
    海外基金
    基于支链淀粉building blocks构建优质BE突变酶定向修饰淀粉调控机制的研究
    • 批准号:
      31771933
    • 项目类别:
      面上项目
    • 资助金额:
      60.0万元
    • 批准年份:
      2017
    • 负责人:
      郭丽
    • 依托单位: