東華大學圖書館 |

語系: 繁體中文

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

Friend or Foe? The Role of Machine Learning in Education Policy Research.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Friend or Foe? The Role of Machine Learning in Education Policy Research./
作者:	Weissman, Amanda.
面頁冊數:	1 online resource (248 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
Contained By:	Dissertations Abstracts International84-04B.
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29730363click for full text (PQDT)
ISBN:	9798845460394

Friend or Foe? The Role of Machine Learning in Education Policy Research.
Weissman, Amanda.

Friend or Foe? The Role of Machine Learning in Education Policy Research. - 1 online resource (248 pages)

Source: Dissertations Abstracts International, Volume: 84-04, Section: B.

Thesis (Ph.D.)--University of Michigan, 2022.

Includes bibliographical references

Machine learning, while common in other disciplines, has slowly started to become used more education research. My project seeks to answer the call from researchers for guidance about the nature of machine learning and illustration in how to use machine learning. First, I address the nature of machine learning and provide examples of its capabilities in education policy research. Second, I examine what value machine learning adds over traditional regression in predicting vulnerable student populations for early intervention. Third, I probe how machine learning can aid in identifying students at risk for dropping out of high school. My project will be one of the few projects in the field of education to espouse the potential benefits of machine learning and interrogate its value added to traditional quantitative research methods.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845460394Subjects--Topical Terms:

517247
Statistics.
Subjects--Index Terms:

Machine learningIndex Terms--Genre/Form:

542853
Electronic books.

Friend or Foe? The Role of Machine Learning in Education Policy Research.
LDR:02249nmm a2200409K 4500 001 2356504
005 20230612110840.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798845460394
035 $a (MiAaPQ)AAI29730363
035 $a (MiAaPQ)umichrackham004404
035 $a AAI29730363
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Weissman, Amanda. $3 3696980
245 1 0 $a Friend or Foe? The Role of Machine Learning in Education Policy Research.
264 0 $c 2022
300 $a 1 online resource (248 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: 84-04, Section: B.
500 $a Advisor: Weiland, Christina.
502 $a Thesis (Ph.D.)--University of Michigan, 2022.
504 $a Includes bibliographical references
520 $a Machine learning, while common in other disciplines, has slowly started to become used more education research. My project seeks to answer the call from researchers for guidance about the nature of machine learning and illustration in how to use machine learning. First, I address the nature of machine learning and provide examples of its capabilities in education policy research. Second, I examine what value machine learning adds over traditional regression in predicting vulnerable student populations for early intervention. Third, I probe how machine learning can aid in identifying students at risk for dropping out of high school. My project will be one of the few projects in the field of education to espouse the potential benefits of machine learning and interrogate its value added to traditional quantitative research methods.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Statistics. $3 517247
650 4 $a Education policy. $3 2191387
650 4 $a Computer science. $3 523869
650 4 $a Secondary education. $3 2122779
650 4 $a Education. $3 516579
653 $a Machine learning
653 $a Education policy research
653 $a High School enrollment
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0458
690 $a 0463
690 $a 0984
690 $a 0533
690 $a 0515
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Michigan. $b Education. $3 3696981
773 0 $t Dissertations Abstracts International $g 84-04B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29730363 $z click for full text (PQDT)