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

Understanding teacher users of a dig...

Xu, Beijie.

FindBook

Google Book

Amazon

博客來

Understanding teacher users of a digital library service: A clustering approach.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Understanding teacher users of a digital library service: A clustering approach./
作者:	Xu, Beijie.
面頁冊數:	185 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-06, Section: A, page: .
Contained By:	Dissertation Abstracts International72-06A.
標題:	Library Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3449487
ISBN:	9781124568058

Understanding teacher users of a digital library service: A clustering approach.
Xu, Beijie.

Understanding teacher users of a digital library service: A clustering approach. - 185 p.

Source: Dissertation Abstracts International, Volume: 72-06, Section: A, page: .

Thesis (Ph.D.)--Utah State University, 2011.

This research examined teachers' online behaviors while using a digital library service---the Instructional Architect (IA)---through three consecutive studies. In the first two studies, a statistical model called latent class analysis (LCA) was applied to cluster different groups of IA teachers according to their diverse online behaviors. The third study further examined relationships between teachers' demographic characteristics and their usage patterns. Several user clusters emerged from the LCA results of Study I. These clusters were named isolated islanders, lukewarm teachers, goal-oriented brokers, window shoppers, key brokers, beneficiaries, classroom practitioners, and dedicated sticky users. In Study II, a cleaning process was applied to the clusters discovered in Study I to further refine distinct user groups. Results revealed three clusters, key brokers, insular classroom practitioners, and ineffective islanders. In Study III, the integration of teacher demographic profiles with clustering results revealed that teaching experience and technology knowledge affected teachers' effectiveness in using the IA. The implication, contributions, and limitation of this research are discussed.

ISBN: 9781124568058Subjects--Topical Terms:

881164
Library Science.

Understanding teacher users of a digital library service: A clustering approach.
LDR:02393nam 2200373 4500 001 1396376
005 20110603091238.5
008 130515s2011 ||||||||||||||||| ||eng d
020 $a 9781124568058
035 $a (UMI)AAI3449487
035 $a AAI3449487
040 $a UMI $c UMI
100 1 $a Xu, Beijie. $3 1675159
245 1 0 $a Understanding teacher users of a digital library service: A clustering approach.
300 $a 185 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-06, Section: A, page: .
500 $a Adviser: Mimi Recker.
502 $a Thesis (Ph.D.)--Utah State University, 2011.
520 $a This research examined teachers' online behaviors while using a digital library service---the Instructional Architect (IA)---through three consecutive studies. In the first two studies, a statistical model called latent class analysis (LCA) was applied to cluster different groups of IA teachers according to their diverse online behaviors. The third study further examined relationships between teachers' demographic characteristics and their usage patterns. Several user clusters emerged from the LCA results of Study I. These clusters were named isolated islanders, lukewarm teachers, goal-oriented brokers, window shoppers, key brokers, beneficiaries, classroom practitioners, and dedicated sticky users. In Study II, a cleaning process was applied to the clusters discovered in Study I to further refine distinct user groups. Results revealed three clusters, key brokers, insular classroom practitioners, and ineffective islanders. In Study III, the integration of teacher demographic profiles with clustering results revealed that teaching experience and technology knowledge affected teachers' effectiveness in using the IA. The implication, contributions, and limitation of this research are discussed.
590 $a School code: 0241.
650 4 $a Library Science. $3 881164
650 4 $a Education, Evaluation. $3 1669638
650 4 $a Education, Technology of. $3 1018012
650 4 $a Information Science. $3 1017528
650 4 $a Computer Science. $3 626642
690 $a 0399
690 $a 0443
690 $a 0710
690 $a 0723
690 $a 0984
710 2 $a Utah State University. $b Instructional Technology. $3 1026135
773 0 $t Dissertation Abstracts International $g 72-06A.
790 1 0 $a Recker, Mimi, $e advisor
790 1 0 $a Walker, Andrew $e committee member
790 1 0 $a Diekema, Anne $e committee member
790 1 0 $a Holton, Doug $e committee member
790 1 0 $a Qi, Xiaojun $e committee member
790 1 0 $a Flann, Nicholas $e committee member
790 $a 0241
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3449487