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Measuring What Matters: How Noncogni...
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Rutledge, Julia.
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Measuring What Matters: How Noncognitive Skills are Captured, Stored, and Utilized in Personalized Learning Environments.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Measuring What Matters: How Noncognitive Skills are Captured, Stored, and Utilized in Personalized Learning Environments./
Author:
Rutledge, Julia.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:
224 p.
Notes:
Source: Dissertation Abstracts International, Volume: 79-01(E), Section: A.
Contained By:
Dissertation Abstracts International79-01A(E).
Subject:
Educational tests & measurements. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10622852
ISBN:
9780355215977
Measuring What Matters: How Noncognitive Skills are Captured, Stored, and Utilized in Personalized Learning Environments.
Rutledge, Julia.
Measuring What Matters: How Noncognitive Skills are Captured, Stored, and Utilized in Personalized Learning Environments.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 224 p.
Source: Dissertation Abstracts International, Volume: 79-01(E), Section: A.
Thesis (Ph.D.)--The University of Wisconsin - Madison, 2017.
Students who are considered 'college- and career-ready' possess both the academic content knowledge and the 21st century skills, or 'noncognitive skills,' esteemed by today's higher education institutions and global workforce. And while some K-12 schools have recently embraced pedagogies such as personalized learning that nurture noncognitive skills (Stecher & Hamilton, 2014), conventional assessment measures still do not include separate metrics for these skills: There is a mismatch between what is taught, what is measured, and what is valued. As a result, education researchers are calling for investigations into noncognitive skills measurement practices (Duckworth & Yeager, 2014; Pellegrino & Hilton, 2012). However, these calls do not underscore the effect of the learning environment. Because personalized learning environments claim to prioritize noncognitive skills development (Rickabaugh, 2016), they may be prime places to analyze contextualized measurement practices. This study focuses on three measurement practices (information capture, storage, and utilization) of three noncognitive skills (mindset, self-regulation, and grit) to pursue the research question: How do personalized learning environments measure students' noncognitive skills development? Data was collected from three Midwestern high school personalized learning environments via classroom observations and interviews with principals, teachers, and students. Results reveal a connection between the learning environment's design and its measurement practices. This connection shapes how personalized learning program structures, like interest-based design, lead to specific practices, including student-teacher conferences and long-term projects, that build outcomes of strong student-teacher relationships. Teachers use these relationships as a tool to measure noncognitive skills.
ISBN: 9780355215977Subjects--Topical Terms:
3168483
Educational tests & measurements.
Measuring What Matters: How Noncognitive Skills are Captured, Stored, and Utilized in Personalized Learning Environments.
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Students who are considered 'college- and career-ready' possess both the academic content knowledge and the 21st century skills, or 'noncognitive skills,' esteemed by today's higher education institutions and global workforce. And while some K-12 schools have recently embraced pedagogies such as personalized learning that nurture noncognitive skills (Stecher & Hamilton, 2014), conventional assessment measures still do not include separate metrics for these skills: There is a mismatch between what is taught, what is measured, and what is valued. As a result, education researchers are calling for investigations into noncognitive skills measurement practices (Duckworth & Yeager, 2014; Pellegrino & Hilton, 2012). However, these calls do not underscore the effect of the learning environment. Because personalized learning environments claim to prioritize noncognitive skills development (Rickabaugh, 2016), they may be prime places to analyze contextualized measurement practices. This study focuses on three measurement practices (information capture, storage, and utilization) of three noncognitive skills (mindset, self-regulation, and grit) to pursue the research question: How do personalized learning environments measure students' noncognitive skills development? Data was collected from three Midwestern high school personalized learning environments via classroom observations and interviews with principals, teachers, and students. Results reveal a connection between the learning environment's design and its measurement practices. This connection shapes how personalized learning program structures, like interest-based design, lead to specific practices, including student-teacher conferences and long-term projects, that build outcomes of strong student-teacher relationships. Teachers use these relationships as a tool to measure noncognitive skills.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10622852
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