Search results
Results from the WOW.Com Content Network
Bickel et al. describe this method of training as such, "adaptive-training programs rely on computerized algorithms that adjust intervention content to a patient's skill level in realtime in order to tax participants at the limit of their capacity and maintain engagement during training." [10] Nixon and Lewis note that programs which adjust to ...
Excel 2.0 for Windows, which was modeled after its Mac GUI-based counterpart, indirectly expanded the installed base of the then-nascent Windows environment. Excel 2.0 was released a month before Windows 2.0, and the installed base of Windows was so low at that point in 1987 that Microsoft had to bundle a runtime version of Windows 1.0 with ...
SDI Tools were first developed in 2000 by Dr. George Chollar, Dr. Jesse Peplinski, and Garron Morris as several Add-Ins for Microsoft Excel to support a methodology for product development that combined elements of Design for Six Sigma and Systems Engineering [1] [2]
Establish highly specified methods for obtaining those goals. Tools: Happiness Scale, and Goals of Counseling form. Behavior Skills Training. Teach three basic skills through instruction and role-playing: Problem-solving Break overwhelming problems into smaller ones. Address smaller problems. Communication skills A positive interaction style
Discrete trial training (DTT) is a technique used by practitioners of applied behavior analysis (ABA) that was developed by Ivar Lovaas at the University of California, Los Angeles (UCLA). DTT uses mass instruction and reinforcers that create clear contingencies to shape new skills.
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
Many different training methods exist today, including both on- and off-the-job methods. [citation needed] Other training methods may include: Apprenticeship training: training in which a worker entering the skilled trades is given thorough instruction and experience both on and off the job in the practical and theoretical aspects of the work [22]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]