Understanding paired associate transfer effects based on shared stimulus components

From LearnLab
Revision as of 20:16, 14 September 2006 by PhilPavlik (talk | contribs) (Descendents)
Jump to: navigation, search

Applying optimal scheduling of practice in the Chinese Learnlab



Research question

How can the optimal sequence of learning be computed?

Background and significance

Dependent variables

Measures of normal and robust learning.

Independent variables

Alternative structures of instructional schedule for knowledge component training based on the predictions of an ACT-R based cognitive model. Further independent variables include how the material is presented for each learning event and the assumptions of the model used to presents schedule the learning. The assumptions of the model include alternative analyses of task demands, the structure of relevant knowledge components, and learner background.


Robust learning is increased by instructional activities that require the learner to attend to the relevant knowledge components of a learning task.



Attention to features of the task domain as a knowledge component is processed leads to associating those features with the knowledge component. If the features are valid, then forming or strengthening such associations facilitates retrieval during subsequent assessment or instruction, and thus leads to more robust learning.


Optimizing the practice schedule

Annotated bibliography