نتایج جستجو برای: online training

تعداد نتایج: 559938  

2014
Tiffany E. Shubert Matthew Lee Smith Marcia G. Ory Cristine B. Clarke Stephanie A. Bomberger Ellen Roberts Jan Busby-Whitehead

BACKGROUND The Otago Exercise Program (OEP) is an evidence-based fall prevention program developed, evaluated, and disseminated in New Zealand. The program was designed for delivery in the home by physical therapists (PTs). It was not known if American PTs would require additional training and resources to adopt the OEP. This article describes the process of translating the OEP for disseminatio...

Journal: :Journal of neural engineering 2014
Joline M Fan Paul Nuyujukian Jonathan C Kao Cynthia A Chestek Stephen I Ryu Krishna V Shenoy

OBJECTIVE The objective of this work was to quantitatively investigate the mechanisms underlying the performance gains of the recently reported 'recalibrated feedback intention-trained Kalman Filter' (ReFIT-KF). APPROACH This was accomplished by designing variants of the ReFIT-KF algorithm and evaluating training and online data to understand the neural basis of this improvement. We focused o...

Journal: :Int J. Information Management 2007
Hyochang Lim Sang-Gun Lee Kichan Nam

The development of information technologies has contributed to the growth in online training as an important education method. E-learning provides trainees with education opportunities in diverse ways. It has led to a range of innovative services offering one-stop educational solutions within the e-business sector. The online training environment enables trainees to undertake customized trainin...

2001
Dr. Sanford

This article examines the pedagogical role of the teacher in online education. Specifically, the transition from in-class room instruction to online instruction is a complex one involving specialized training in the technical aspects of delivering quality educational materials (or environments) to the students, and specialized training in how to foster knowledge acquisition within this new envi...

2007
Chun Sing Louis Tsui John Q. Gan

Due to the non-stationarity of EEG signals, online training and adaptation is essential to EEG based brain-computer interface (BCI) systems. Asynchronous BCI offers more natural human-machine interaction, but it is a great challenge to train and adapt an asynchronous BCI online because the user’s control intention and timing are usually unknown. This paper proposes a novel motor imagery based a...

Journal: :The International Journal of Management Education 2014

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