CAREER: The Measurement and Influence of Mathematics Motivation in a Digital Context
CAREER: The Measurement and Influence of Mathematics Motivation in a Digital Context
批准号:
2000868
负责人:
Teomara Rutherford
金额:
$97.8万
依托单位:
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:
2019-07-01 至 2025-06-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The ECR program emphasizes fundamental STEM education research that will generate fundamental knowledge in the field. This Early Faculty Career Development project supports the generation of knowledge through the building of a firm foundation for a lifetime of leadership in integrating education and research in STEM disciplines. It will examine ways to address a national concern for strengthening students' mathematics competency by enhancing their content knowledge in and motivation for learning mathematics. The study will focus on student motivation for learning as an important predictor of student choice, persistence, and achievement in STEM careers. It will advance research beyond studies that only examine links between motivation and mathematics achievement to lesser known aspects about how motivation functions to support students' in-the-moment choices during learning. The project will: (1) embed experience sampling questions and enhanced choice options within a Spatial Temporal Math digital platform; (2) examine associations between situated student motivation, choice, and academic outcomes; (3) develop nudge interventions based on these associations and iteratively test nudges in a series of experiments within the platform; and (4) assess the impact of nudges in a randomized trial. This project will collect data from over 30K third through fifth grade students for a period of one year.Experience sampling and data mining methods will be used to collect data about student motivation as they engage Spatial Temporal Math on a digitized mathematics learning platform aligned with state standards. Methods will include surveys, interviews, observations, and other student related tests and school data. Pilot studies will provide data essential to developing interventions that promote deeper learning drawing on motivation theory and behavioral economics. Results from this project will advance theoretical and analytic bases for understanding motivation and choice situated in real-world learning contexts. These new advances will help transform understanding about student motivation and behaviors as well as inform improvements in the teaching and learning of mathematics. In addition to the 30K that will be directly impacted by this study; in real time, the project will help improve learning for more than a million existing users of the digital platform. Thus, results will benefit society by enhancing student content knowledge and motivational practices while simultaneously developing a foundation for being successful in challenging mathematics undertakings.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(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1080/15391523.2021.1920520
发表时间:
2021-06
期刊:
Journal of Research on Technology in Education
影响因子:
5.1
作者:
[Teomara Rutherford;Kerry Duck;J. Rosenberg;Raymond Patt]
通讯作者:
Teomara Rutherford;Kerry Duck;J. Rosenberg;Raymond Patt
Grade 5 Students’ Elective Replay After Experiencing Failures in Learning Fractions in an Educational Game: When Does Replay After Failures Benefit Learning?
五年级学生在教育游戏中学习分数失败后选修重播:失败后重播何时有益于学习?
DOI:
10.1145/3506860.3506873
发表时间:
2022
期刊:
LAK22: LAK22: 12th International Learning Analytics and Knowledge Conference
影响因子:
--
作者:
[Zhang, Qian, Rutherford, Teomara]
通讯作者:
Rutherford, Teomara
SaTC-EDU: EAGER: Developing metaverse-native security and privacy curricula for high school students
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批准号:2335807
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2023
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负责人:Teomara Rutherford
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依托单位:
CAREER: The Measurement and Influence of Mathematics Motivation in a Digital Context
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批准号:1845584
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项目类别:Continuing Grant
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资助金额:$97.8万
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财政年份:2019
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负责人:Teomara Rutherford
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依托单位:
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: