Learning dynamics within the solutions network

2009 ◽  
pp. 75-93
Author(s):  
Stefano Miraglia ◽  
Andrew Davies
Keyword(s):  
Learning Dynamics

Learning Dynamics: A Panel Discussion

2007 ◽  
Author(s):  
Ivelisse Lazzarini ◽  
Glenda Eoyang
Keyword(s):  
Panel Discussion ◽  
Learning Dynamics

scholarly journals Learning Dynamics with Synchronous, Asynchronous and General Semantics

2018 ◽  
pp. 118-140 ◽  
Author(s):  
Tony Ribeiro ◽  
Maxime Folschette ◽  
Morgan Magnin ◽  
Olivier Roux ◽  
Katsumi Inoue
Keyword(s):  
Learning Dynamics ◽  
General Semantics

Learning dynamics of complex motions from image sequences

1996 ◽  
pp. 357-368 ◽  
Author(s):  
David Reynard ◽  
Andrew Wildenberg ◽  
Andrew Blake ◽  
John Marchant
Keyword(s):  
Image Sequences ◽  
Learning Dynamics

scholarly journals On the modeling of collective learning dynamics

2011 ◽  
Vol 24 (11) ◽  
pp. 1861-1866 ◽  
Author(s):  
S. De Lillo ◽  
N. Bellomo
Keyword(s):  
Collective Learning ◽  
Learning Dynamics

scholarly journals Learning Dynamics Analysis Based on Computer-Human Interaction

2013 ◽  
Vol 8 (5) ◽  
pp. 32 ◽  
Author(s):  
Sheng Yang ◽  
Lei Guo ◽  
Wensen Yu ◽  
Changyong Liu ◽  
Shimin Meng
Keyword(s):  
Human Interaction ◽  
Dynamics Analysis ◽  
Learning Dynamics

scholarly journals Postural control learning dynamics in Parkinson’s disease: early ‎improvement with plateau in stability, and continuous progression in ‎flexibility and mobility

2020 ◽  
Author(s):  
Zahra Rahmati ◽  
Saeed Behzadipour ◽  
Alfred C. Schouten ◽  
Ghorban Taghizadeh ◽  
Keikhosrow Firoozbakhsh
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Postural Control ◽  
Training Program ◽  
Center Of Pressure ◽  
Balance Training ◽  
Patient Specific ◽  
Learning Dynamics ◽  
Early Improvement ◽  
Model Based

Abstract Background: Balance training improves postural control in Parkinson’s disease (PD). However, a systematic approach for the development of individualized, optimal training programs is still lacking, as the learning dynamics of the postural control in PD, over a training program are poorly understood. Objectives: We investigated the learning dynamics of the postural control in PD, during a balance-training program, in terms of the clinical, posturographic, and novel model-based measures. Methods: Twenty patients with PD participated in a balance-training program, 3 days a week, for 6 weeks. Clinical tests assessed functional balance and mobility pre-training, mid-training, and post-training. Center-of-pressure (COP) was recorded at four time-points during the training (pre-, week 2, week 4, and post-training). COP was used to calculate the sway measures and to identify the parameters of a patient-specific postural control model, at each time-point. The posturographic and model-based measures constituted the two sets of stability- and flexibility-related measures. Results: Mobility- and flexibility-related measures showed a continuous improvement during the balance-training program. In particular, mobility improved at mid-training and continued to improve to the end of the training, whereas flexibility-related measures reached significance only at the end. The progression in the balance- and stability-related measures was characterized by early improvements over the first three to four weeks of training, and reached a plateau for the rest of the training. Conclusions: The progression in balance and postural stability is achieved earlier and susceptible to plateau out, while mobility and flexibility continues to improve during the balance training.

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