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Learning Analytics in Online Physical Education : = Student Attributions Toward Heart Rate Monitoring.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Learning Analytics in Online Physical Education :/
其他題名:	Student Attributions Toward Heart Rate Monitoring.
作者:	Castle, James M.
面頁冊數:	1 online resource (145 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
Contained By:	Dissertations Abstracts International83-01A.
標題:	Education. -
電子資源:	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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500 $a Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
500 $a Advisor: Rieber, Lloyd P.
502 $a Thesis (Ph.D.)--University of Georgia, 2021.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Education. $3 516579
650 4 $a Educational technology. $3 517670
650 4 $a Physical education. $3 635343
653 $a Attribution theory
653 $a Design case
653 $a Learning analytics
653 $a Online physical education
653 $a Physical education
653 $a Wearable technology
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0515
690 $a 0710
690 $a 0523
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710 2 $a University of Georgia. $b Learning, Design and Technology - PHD. $3 3549490
773 0 $t Dissertations Abstracts International $g 83-01A.
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