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Learning Analytics in Online Physical Education : = Student Attributions Toward Heart Rate Monitoring.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Learning Analytics in Online Physical Education :/
Reminder of title:
Student Attributions Toward Heart Rate Monitoring.
Author:
Castle, James M.
Description:
1 online resource (145 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
Contained By:
Dissertations Abstracts International83-01A.
Subject:
Education. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28320298click for full text (PQDT)
ISBN:
9798516085109
Learning Analytics in Online Physical Education : = Student Attributions Toward Heart Rate Monitoring.
Castle, James M.
Learning Analytics in Online Physical Education :
Student Attributions Toward Heart Rate Monitoring. - 1 online resource (145 pages)
Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
Thesis (Ph.D.)--University of Georgia, 2021.
Includes bibliographical references
This dissertation is presented in multiple article format with an introduction, a literature review, a design case, a mixed methods study, and a conclusion. The literature review outlines important concepts and theories that appear in subsequent manuscripts. The design case describes the seven-year design process that resulted in the online physical education app, a tool used in online physical education classes to monitor student progress toward heart rate goals. The mixed methods study investigates student attribution of outcomes observed in the physical education app. These manuscripts present both a long-term iterative design process and an empirical research study to better understand how students use their own data to inform and shape their learning.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798516085109Subjects--Topical Terms:
516579
Education.
Subjects--Index Terms:
Attribution theoryIndex Terms--Genre/Form:
542853
Electronic books.
Learning Analytics in Online Physical Education : = Student Attributions Toward Heart Rate Monitoring.
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Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
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Advisor: Rieber, Lloyd P.
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Includes bibliographical references
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This dissertation is presented in multiple article format with an introduction, a literature review, a design case, a mixed methods study, and a conclusion. The literature review outlines important concepts and theories that appear in subsequent manuscripts. The design case describes the seven-year design process that resulted in the online physical education app, a tool used in online physical education classes to monitor student progress toward heart rate goals. The mixed methods study investigates student attribution of outcomes observed in the physical education app. These manuscripts present both a long-term iterative design process and an empirical research study to better understand how students use their own data to inform and shape their learning.
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click for full text (PQDT)
based on 0 review(s)
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