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

Gendered Performance Differences in ...

Michael, Rebekah.

FindBook

Google Book

Amazon

博客來

Gendered Performance Differences in Information Technology Courses.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Gendered Performance Differences in Information Technology Courses./
作者:	Michael, Rebekah.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	41 p.
附註:	Source: Masters Abstracts International, Volume: 80-11.
Contained By:	Masters Abstracts International80-11.
標題:	Information Technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13893860
ISBN:	9781392124703

Gendered Performance Differences in Information Technology Courses.
Michael, Rebekah.

Gendered Performance Differences in Information Technology Courses. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 41 p.

Source: Masters Abstracts International, Volume: 80-11.

Thesis (M.S.)--University of Cincinnati, 2018.

This item must not be sold to any third party vendors.

The purpose of this study is to analyze patterns of gender-based grade disparity in undergraduate information technology (IT) courses at a public research university. The study was conducted in an effort to understand factors in IT education that may contribute to the IT gender gap in higher education and careers. The study followed a learning analytics methodology developed and used by previous studies of gendered based performance differences in STEM courses at other universities. This research adds to a base of information on gender performance in IT courses. Results indicated that on average IT courses have gendered performance differences with the majority of courses favoring males. In addition, results found that on average course delivery method doesn't impact gender performance. A surprising result is that in the senior level courses, on average the courses favor females. The recommendations for expanding the study by examining additional course factors such as: (a) add additional course factors such as instructor gender, class size, and number of females in the course to determine the impact, (b) expand the data set to include additional computing disciplines, (c) expand the study to other universities. This study will lead to a research path to understanding gender neutral IT course instruction.

ISBN: 9781392124703Subjects--Topical Terms:

1030799
Information Technology.

Gendered Performance Differences in Information Technology Courses.
LDR:02392nmm a2200313 4500 001 2264003
005 20200331094442.5
008 220629s2018 ||||||||||||||||| ||eng d
020 $a 9781392124703
035 $a (MiAaPQ)AAI13893860
035 $a (MiAaPQ)OhioLINK:ucin1543920227122293
035 $a AAI13893860
040 $a MiAaPQ $c MiAaPQ
100 1 $a Michael, Rebekah. $3 3541100
245 1 0 $a Gendered Performance Differences in Information Technology Courses.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 41 p.
500 $a Source: Masters Abstracts International, Volume: 80-11.
500 $a Publisher info.: Dissertation/Thesis.
502 $a Thesis (M.S.)--University of Cincinnati, 2018.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The purpose of this study is to analyze patterns of gender-based grade disparity in undergraduate information technology (IT) courses at a public research university. The study was conducted in an effort to understand factors in IT education that may contribute to the IT gender gap in higher education and careers. The study followed a learning analytics methodology developed and used by previous studies of gendered based performance differences in STEM courses at other universities. This research adds to a base of information on gender performance in IT courses. Results indicated that on average IT courses have gendered performance differences with the majority of courses favoring males. In addition, results found that on average course delivery method doesn't impact gender performance. A surprising result is that in the senior level courses, on average the courses favor females. The recommendations for expanding the study by examining additional course factors such as: (a) add additional course factors such as instructor gender, class size, and number of females in the course to determine the impact, (b) expand the data set to include additional computing disciplines, (c) expand the study to other universities. This study will lead to a research path to understanding gender neutral IT course instruction.
590 $a School code: 0045.
650 4 $a Information Technology. $3 1030799
690 $a 0489
710 2 $a University of Cincinnati. $b Information Technology. $3 3541101
773 0 $t Masters Abstracts International $g 80-11.
790 $a 0045
791 $a M.S.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13893860