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Dropout Patterns and Cultural Context in Online Networked Learning Spaces Cover

Dropout Patterns and Cultural Context in Online Networked Learning Spaces

By:  and    
Open Access
|Mar 2019

Figures & Tables

Figure 1

Characteristics of Hall’s HCC versus LCC

Figure 2

Countrywide distribution of learners (Blue for HCC; green for LCC).

Figure 3

Dashboard for weekly network metrics.

Figure 4

Non-clustered, directed sociogram of #openEDMOOC.

Figure 5

Dashboard for cross tabulated network metrics.

Table 1

Descriptive statistics pertaining to betweenness centrality values

Cultural contextDropoutMeanSDn
Low contextNo3137.005823.9411
Yes162.36730.66124
Total404.741920.53135
High contextNo560.15596.357
Yes11.5757.7437
Total98.85305.9644
TotalNo2134.894663.5118
Yes127.71644.36161
Total329.551678.32179
Table 2

Two-way ANOVA summary for betweenness centrality means across cultural contexts (low-high) and dropout conditions (yes-no)

SourceSSdfMSFSig.Partial Eta2 Observed Power
Cultural context (Low-High)27672725.15127672725.1511.8960.0010.0640.929
Dropout Condition (Yes-No)46169619.77146169619.7719.8470.0000.1020.993
Cultural context * Dropout condition21891910.22121891910.229.4110.0030.0510.862
Error407101470.581752326294.12
Total520820108.71179
Figure 6

Illustration of the interaction effect of dropout by cultural context pattern.

Language: English
Page range: 41 - 54
Submitted on: Nov 19, 2018
Accepted on: Jan 21, 2019
Published on: Mar 31, 2019
Published by: International Council for Open and Distance Education (ICDE)
In partnership with: Paradigm Publishing Services

© 2019 Aras Bozkurt, Yavuz Akbulut, published by International Council for Open and Distance Education (ICDE)
This work is licensed under the Creative Commons Attribution 4.0 License.