Messages mentioning or discussing theory, containing minor or extensive summaries, or including content moderating reflect significantly higher levels of knowledge construction.¶

Claim · All claims
Evidence · 1 study (3 entries) · causal r1–r2 · q3
Currency · newest study 2007 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Both mentioning and discussing theory lead to a significantly higher mean level of knowledge construction. → De Wever 2007 q3 i? Both minor and extensive summaries lead to a significantly higher mean level of knowledge construction. → De Wever 2007 (2) q3 i? Messages comprising content moderation reflect a significantly higher level of knowledge construction. → De Wever 2007 (3)

Evidence¶

De Wever 2007¶

De Wever, B., Van Keer, H., Schellens, T., & Valcke, M. (2007). Applying multilevel modelling to content analysis data: Methodological issues in the study of role assignment in asynchronous discussion groups. Learning and Instruction, 17, 436-447. https://doi.org/10.1016/j.learninstruc.2007.04.001

q3 · i? · causal · r1

Four-level model C adding the five ASIMeC dimensions as explanatory variables (better fit than model B, χ² = 1464.001, df = 10, p < .001); message characteristics explained 11.4% of between-message variance (R1²).

"Concerning theory , both mentioning and discussing theory leads to a significantly higher mean level of knowledge construction (mean = 1.321 + 0.223 = 1.544, χ² = 33.950, df = 1, p < .001 and mean = 1.321 + 0.238 = 1.559, χ² = 24.764, df = 1, p < .001 respectively)."

De Wever 2007 (2)¶

De Wever, B., Van Keer, H., Schellens, T., & Valcke, M. (2007). Applying multilevel modelling to content analysis data: Methodological issues in the study of role assignment in asynchronous discussion groups. Learning and Instruction, 17, 436-447. https://doi.org/10.1016/j.learninstruc.2007.04.001

q3 · i? · causal · r2

Same model C: the summary dimension contrasts against messages without summaries, with the extensive-summary estimate (0.864) larger than the minor-summary estimate (0.336).

"both minor summaries and extended summaries lead to a significantly higher mean level of knowledge constr uction (mean = 1.321 + 0.336 = 1.657, χ² = 7.566, df = 1, p = .006 and mean = 1.321 + 0.864 = 2.185, χ² = 108.537, df = 1, p < .001 respectively)."

De Wever 2007 (3)¶

De Wever, B., Van Keer, H., Schellens, T., & Valcke, M. (2007). Applying multilevel modelling to content analysis data: Methodological issues in the study of role assignment in asynchronous discussion groups. Learning and Instruction, 17, 436-447. https://doi.org/10.1016/j.learninstruc.2007.04.001

q3 · i? · causal · r1

Same model C: the content-moderating contrast within the moderating dimension was positive and significant relative to messages without moderation tasks.

"significantly higher for messages comprisi ng content moderation (mean = 1.321 + 0.161 = 1.482, χ² = 14.803, df = 1, p < .001)"

Discussion¶

Related Claims¶

• In knowledge-construction content analysis data from discussion groups, the largest share of variance lies at the message level, with only small between-group and between-student variance. — related
• Messages merely mentioning sources, containing organisational moderating, or introducing new points reflect significantly lower levels of knowledge construction, while discussing sources shows no significant difference. — related
• Students assigned the summariser role post messages reflecting a significantly higher level of knowledge construction than students without roles, while starter, moderator, theoretician, and source searcher roles do not differ significantly. — related
• Knowledge construction does not increase gradually across successive discussion themes: messages in theme 2 reflect significantly lower levels, theme 3 significantly higher, and theme 4 no significant difference from theme 1. — related