Curt E. Magnuson
Texas A&M University
10 Papers
169 Citations
Curt E. Magnuson is an academic researcher from Texas A&M University. The author has contributed to research in topics: Motor learning & Apraxia. The author has an hindex of 8, co-authored 10 publications.
Chat about Author
Papers
Long-term motor programming improvements occur via concatenation of movement sequences during random but not during blocked practice.
TL;DR: The present results provide support for the claim that random practice not only leads to improvements in the completion of intratrial movement planning processes but also affects the structure of the memory developed during practice.
79
Programming and reprogramming sequence timing following high and low contextual interference practice
TL;DR: Data provide additional support for the recent claim of Immink & Wright (2001) that at least some of the benefit from experience in a random as opposed to blocked training context can be localized to superior development and implementation of the motor programming process before executing the movement.
30
Random and blocked practice of movement sequences: differential effects on response structure and movement speed.
TL;DR: It is suggested that random practice may not be as effective as blocked practice when one of the tasks being practiced together can be optimized through the development of a unique response structure.
23
Random practice can facilitate the learning of tasks that have different relative time structures.
Curt E. Magnuson,David L. Wright +1 more
TL;DR: This work has shown that the additional trial-to-trial preparation used by the random practice participant during practice results in a more resilient memory representation that better supports long-term recall efforts compared to their blocked practice counterparts.
20
Motor programming when sequencing multiple elements of the same duration.
TL;DR: An elaboration of the 2-process account of motor programming is offered to incorporate the present findings and the findings from other recent sequence-learning research.
20