A priori taxonomy of three inference types defined by how interdependent information is distributed between collaborators¶
Research Method · All research methods
Evidence · 3 claims (3 for) · 1 study (1 causal),q3· 1 of 1 report an effect size · 3 claims rest on one study
Description¶
The article distinguishes three types of solution-relevant inferences, defined a priori by the experimental distribution of two interdependent pieces of information in a dyad: "Collaborative inferences" result from unshared, distributed information and "can only be drawn collaboratively"; individual inferences result from unshared information located with the same person; shared inferences result from information known to both partners. The taxonomy allows systematic comparison of inference difficulty, since the distribution is manipulated experimentally.
Accounts¶
- A priori taxonomy of three inference types defined by how interdependent information is distributed between collaborators: The article distinguishes three types of solution-relevant inferences, defined a priori by the experimental distribution of two interdependent pieces of information in a dyad: "Collaborative inferences" result from unshared, distributed information and "can only be drawn collaboratively"; individual inferences result from unshared information located with the same person; shared inferences result from information known to both partners. The taxonomy allows systematic comparison of inference difficulty, since the distribution is manipulated experimentally. (Deiglmayr et al. (2011))
Claims¶
- Collaborative and individual inferences are less likely to be drawn than shared inferences during collaborative problem solving [+M]
- The training's effect on inference drawing was not limited to collaborative inferences but generally enhanced inference drawing of all types [+W]
- Training in collaboration strategies increases the frequency with which student dyads draw inferences during subsequent unscaffolded collaborative problem solving [+W]
Related Research Methods¶
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Key Sources¶
- Deiglmayr, A., & Spada, H. (2011). Training for fostering knowledge co-construction from collaborative inference-drawing. Learning and Instruction, 21(3), 441-451. https://doi.org/10.1016/j.learninstruc.2010.06.004
Page metadata
| Field | Value |
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research-method |
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a-priori-taxonomy-of-three-inference-types-defined-by-how-interdependent-information-is-di |
title |
A priori taxonomy of three inference types defined by how interdependent information is distributed between collaborators |
description |
The article distinguishes three types of solution-relevant inferences, defined a priori by the experimental distribution of two interdependent pieces of information in a dyad: "Collaborative inferences" result from unshared, distributed information and "can only be drawn collaboratively"; individual |
status |
review |
generated |
by process:settle-candidates on 2026-10-22 |
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