Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
2011
|
| Subjects: | |
| Online Access: | https://eric.ed.gov/?id=ED527878 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1867181392645849088 |
|---|---|
| author | Xu, Beijie |
| author_facet | Xu, Beijie Xu, Beijie |
| collection | Education Resources Information Center |
| contents | Understanding Teacher Users of a Digital Library Service: A Clustering Approach Xu, Beijie 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 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/en-US/products/dissertations/individuals.shtml.] |
| format | Recurso educativo Open Access |
| id | eric_ED527878 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 2011 |
| record_format | eric |
| spellingShingle | Understanding Teacher Users of a Digital Library Service: A Clustering Approach Xu, Beijie 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 Understanding Teacher Users of a Digital Library Service: A Clustering Approach Xu, Beijie 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 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/en-US/products/dissertations/individuals.shtml.] |
| title | Understanding Teacher Users of a Digital Library Service: A Clustering Approach |
| topic | 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 |
| url | https://eric.ed.gov/?id=ED527878 |