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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

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An Exploration of Differences between Community of Inquiry Indicators in Low and High Disenrollment Online Courses
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Ice, Phil; Gibson, Angela M.; Boston, Wally; Becher, Dave – Journal of Asynchronous Learning Networks, 2011
Though online enrollments continue to accelerate at a rapid pace, there is significant concern over student retention. With drop rates significantly higher than in face-to-face classes it is imperative that online providers develop an understanding of factors that lead students to disenroll. This study utilizes a data mining approach to examine…
Descriptors: Online Courses, Electronic Learning, Dropouts, School Holding Power
An Exploration of the Relationship between Indicators of the Community of Inquiry Framework and Retention in Online Programs
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Boston, Wally; Diaz, Sebastian R.; Gibson, Angela M.; Ice, Phil; Richardson, Jennifer; Swan, Karen – Journal of Asynchronous Learning Networks, 2010
As the growth of online programs continues to rapidly accelerate, concern over retention is increasing. Models for understanding student persistence in the face-to-face environment are well established, however, the many of the variables in these constructs are not present in the online environment or they manifest in significantly different ways.…
Descriptors: Student Records, Academic Persistence, Inquiry, Correlation
An Exploration of the Relationship between Indicators of the Community of Inquiry Framework and Retention in Online Programs
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Direct linkDirect link
Boston, Wally; Diaz, Sebastian R.; Gibson, Angela M.; Ice, Phil; Richardson, Jennifer; Swan, Karen – Journal of Asynchronous Learning Networks, 2009
As the growth of online programs continues to rapidly accelerate, concern over retention is increasing. Models for understanding student persistence in the face-to-face environment are well established, however, the many of the variables in these constructs are not present in the online environment or they manifest in significantly different ways.…
Descriptors: Student Records, Predictor Variables, Correlation, Student Surveys