ERIC Number: ED527878
Record Type: Non-Journal
Publication Date: 2011
Pages: 186
Abstractor: As Provided
ISBN: ISBN-978-1-1245-6805-8
ISSN: N/A
EISSN: N/A
Available Date: N/A
Understanding Teacher Users of a Digital Library Service: A Clustering Approach
Xu, Beijie
ProQuest LLC, Ph.D. Dissertation, Utah State University
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. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com.bibliotheek.ehb.be/en-US/products/dissertations/individuals.shtml.]
Descriptors: Teacher Behavior, Online Searching, Library Services, Electronic Libraries, Multivariate Analysis, Cluster Grouping, Teacher Characteristics, Demography, Computer Use, Use Studies, Pattern Recognition, Teaching Experience, Educational Technology, Knowledge Level, Predictor Variables, Teacher Effectiveness, Information Science
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Adult Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United States
Grant or Contract Numbers: N/A
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