語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
FindBook
Google Book
Amazon
博客來
Technology as a Gateway to a Philosophy of the Learning Sciences.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Technology as a Gateway to a Philosophy of the Learning Sciences./
作者:
Johanes, Petr.
面頁冊數:
1 online resource (181 pages)
附註:
Source: Dissertations Abstracts International, Volume: 82-02, Section: A.
Contained By:
Dissertations Abstracts International82-02A.
標題:
Educational technology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28103876click for full text (PQDT)
ISBN:
9798662510043
Technology as a Gateway to a Philosophy of the Learning Sciences.
Johanes, Petr.
Technology as a Gateway to a Philosophy of the Learning Sciences.
- 1 online resource (181 pages)
Source: Dissertations Abstracts International, Volume: 82-02, Section: A.
Thesis (Ph.D.)--Stanford University, 2020.
Includes bibliographical references
Technology has always played an important role in the facilitation and research of learning. In the last decade, we have seen digital, data-intensive, and adaptive technologies take center stage and proliferate rapidly. What is different about these technologies is that they enable facilitating learning for more and more diverse students than ever before and researching learning for more and more diverse scholars than ever before. This dissertation focuses on a subset of these technologies, described through six features as educational data infrastructures, which: (1) collect digital data and (2) adapt the learning experience (3) on a large scale (4) in higher education environments (5) to serve as infrastructural building blocks (6) for enabling, among other goals, research into learning. By analyzing the assumptions with which these technologies constrain and enable learning and research, we can use these technologies as a lens with which to investigate the assumptions about learning that inform the current and future state of the learning sciences. This work showcases findings from three distinct analyses to pursue this goal. The first is a first-ever epistemological analysis of the technologies and complementary scholarship from the first four years of the Learning At Scale conference to reveal that the scholarship concentrates on a narrow slice of available learning theory. I call this concentration within the range of available epistemological options the epistemological diversity gap. The second is an analysis of 11 interviews with builders of educational data infrastructures to reveal that the epistemological diversity gap is further corroborated, not random, and not something the builders set out to realize from the outset. The builders report a desire to build a productive science, navigate ethics responsibly, and achieve real human impact. They describe the building process as a constraint optimization exercise to find the path of least resistance given the epistemological foundations and code-friendliness of the available theories, the data-collection limitations of today's technologies, and the priorities of today's higher education institutions. The third is a historical account of the development of the learning sciences from an epistemological lens that highlights the main theoretical trends, dead ends, and research case studies that work across multiple epistemologies. The combined findings reveal that productively coordinating multiple epistemologies can contribute practically as well as philosophically to the learning sciences, creating an exciting scientific opportunity. Multi-epistemological coordination brings multiple areas for promising scientific contributions. A multi-epistemological focus can expand the scope of theories and models employed in existing educational data infrastructures, which in turn can expand the scope of epistemology in downstream research. This focus can also increase the probability of research and collaborations that explore new knowledge and also new insights into the epistemologies learning researchers leverage. To aid in this endeavor, the dissertation argues for establishing a field of philosophy of science of learning that helps with formalizing the methodologies, catalyzing new projects, and leveraging philosophical literature. Ultimately, the goal of the dissertation is to promote ways to utilize educational data infrastructures to advance the learning sciences via practical as well as philosophical contributions.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798662510043Subjects--Topical Terms:
517670
Educational technology.
Subjects--Index Terms:
Dducational data infrastructuresIndex Terms--Genre/Form:
542853
Electronic books.
Technology as a Gateway to a Philosophy of the Learning Sciences.
LDR
:04853nmm a2200361K 4500
001
2357677
005
20230725053639.5
006
m o d
007
cr mn ---uuuuu
008
241011s2020 xx obm 000 0 eng d
020
$a
9798662510043
035
$a
(MiAaPQ)AAI28103876
035
$a
(MiAaPQ)STANFORDzv356jz1292
035
$a
AAI28103876
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
$d
NTU
100
1
$a
Johanes, Petr.
$3
3698206
245
1 0
$a
Technology as a Gateway to a Philosophy of the Learning Sciences.
264
0
$c
2020
300
$a
1 online resource (181 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Dissertations Abstracts International, Volume: 82-02, Section: A.
500
$a
Advisor: Schwartz, Dan; Thille, Candace; Mitchell, John.
502
$a
Thesis (Ph.D.)--Stanford University, 2020.
504
$a
Includes bibliographical references
520
$a
Technology has always played an important role in the facilitation and research of learning. In the last decade, we have seen digital, data-intensive, and adaptive technologies take center stage and proliferate rapidly. What is different about these technologies is that they enable facilitating learning for more and more diverse students than ever before and researching learning for more and more diverse scholars than ever before. This dissertation focuses on a subset of these technologies, described through six features as educational data infrastructures, which: (1) collect digital data and (2) adapt the learning experience (3) on a large scale (4) in higher education environments (5) to serve as infrastructural building blocks (6) for enabling, among other goals, research into learning. By analyzing the assumptions with which these technologies constrain and enable learning and research, we can use these technologies as a lens with which to investigate the assumptions about learning that inform the current and future state of the learning sciences. This work showcases findings from three distinct analyses to pursue this goal. The first is a first-ever epistemological analysis of the technologies and complementary scholarship from the first four years of the Learning At Scale conference to reveal that the scholarship concentrates on a narrow slice of available learning theory. I call this concentration within the range of available epistemological options the epistemological diversity gap. The second is an analysis of 11 interviews with builders of educational data infrastructures to reveal that the epistemological diversity gap is further corroborated, not random, and not something the builders set out to realize from the outset. The builders report a desire to build a productive science, navigate ethics responsibly, and achieve real human impact. They describe the building process as a constraint optimization exercise to find the path of least resistance given the epistemological foundations and code-friendliness of the available theories, the data-collection limitations of today's technologies, and the priorities of today's higher education institutions. The third is a historical account of the development of the learning sciences from an epistemological lens that highlights the main theoretical trends, dead ends, and research case studies that work across multiple epistemologies. The combined findings reveal that productively coordinating multiple epistemologies can contribute practically as well as philosophically to the learning sciences, creating an exciting scientific opportunity. Multi-epistemological coordination brings multiple areas for promising scientific contributions. A multi-epistemological focus can expand the scope of theories and models employed in existing educational data infrastructures, which in turn can expand the scope of epistemology in downstream research. This focus can also increase the probability of research and collaborations that explore new knowledge and also new insights into the epistemologies learning researchers leverage. To aid in this endeavor, the dissertation argues for establishing a field of philosophy of science of learning that helps with formalizing the methodologies, catalyzing new projects, and leveraging philosophical literature. Ultimately, the goal of the dissertation is to promote ways to utilize educational data infrastructures to advance the learning sciences via practical as well as philosophical contributions.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2023
538
$a
Mode of access: World Wide Web
650
4
$a
Educational technology.
$3
517670
650
4
$a
Science education.
$3
521340
650
4
$a
Educational philosophy.
$3
3173367
653
$a
Dducational data infrastructures
655
7
$a
Electronic books.
$2
lcsh
$3
542853
690
$a
0998
690
$a
0710
690
$a
0714
710
2
$a
ProQuest Information and Learning Co.
$3
783688
710
2
$a
Stanford University.
$3
754827
773
0
$t
Dissertations Abstracts International
$g
82-02A.
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28103876
$z
click for full text (PQDT)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9480033
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入