Applying optimal scheduling of practice in the Chinese Learnlab

Applying optimal scheduling of practice in the Chinese Learnlab study

Under Construction

Glossary

• Optimal Spacing Interval
• Expanding Spacing Interval
• Wide Spacing Interval
• Narrow Spacing Interval

Research question

How can the optimal sequence of learning be computed?

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.

Hypothesis

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

Explanation

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.

Descendents

Optimizing the practice schedule

Annotated bibliography

Forthcoming