خلاصه ماشینی:
"More recently, some researchers have examined if group size might influence the levels of knowledge construction in online discussion forums.
The researchers found a significant positive correlation between the discussion group size and the frequency of advanced level knowledge construction occurrences.
(1997) Interaction Analysis Model (IAM) based on the five phases of knowledge co-construction that occur during the online debates.
Descriptive statistics were used to calculate means and percentages of the selected variables of the study which are Language Complexity, Knowledge Construction, and Group Size.
Spearman’s Rho correlations were computed between different variables; Language Complexity, Group Size and Knowledge Construction; to detect any relationship between them.
05 level Table 4 shows that Language Complexity gives non-significant results in the regression equation for Knowledge Construction in Debate A.
05 NS = non-significant Table 7 shows that when Group Size is added to Language Complexity in the same regression equation for Knowledge Construction, the adjusted R² falls from 4.
Since the t-value is not significant for the two variables, Group Size when added to Language Complexity give non-significant results for multiple regression equation for Knowledge Construction.
05 NS = non-significant Discussion In both debates the results show that Language Complexity and Knowledge Construction are significantly correlated.
Hew and Cheung (2010) suggest a group size of about 10 participants in order to form a critical mass to lead the discussion to advanced levels of knowledge building (P.
To obtain significant results on the effect of Group Size on knowledge construction in online debates, the number of forums should be increased."