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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]
ADDIE Model. ADDIE is an instructional systems design (ISD) framework that many instructional designers and training developers use to develop courses. [1] The name is an acronym for the five phases it defines for building training and performance support tools: Most current ISD models are variations of the ADDIE process. [2]
Supervised learning. Supervised learning (SL) is a paradigm in machine learning where input objects (for example, a vector of predictor variables) and a desired output value (also known as a human-labeled supervisory signal) train a model. The training data is processed, building a function that maps new data to expected output values. [1]
Instructional design (ID), also known as instructional systems design and originally known as instructional systems development (ISD), is the practice of systematically designing, developing and delivering instructional materials and experiences, both digital and physical, in a consistent and reliable fashion toward an efficient, effective, appealing, engaging and inspiring acquisition of ...
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in a dynamic environment in order to maximize the cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and ...
Engineering validation test. An engineering verification test (EVT) is performed on first engineering prototypes, to ensure that the basic unit performs to design goals and specifications. [1] Verification ensures that designs meets requirements and specification while validation ensures that created entity meets the user needs and objectives.
Training Need Analysis (TNA) is the process of identifying the gap between employee training and needs of training. Training needs analysis is the first stage in the training process and involves a series of steps that reveal whether training will help to solve the problem which has been identified. Training can be described as “the ...
A more recent development in job training is the On-the-Job Training Plan or OJT Plan. According to the United States Department of the Interior, a proper OJT plan should include: An overview of the subjects to be covered, the number of hours the training is expected to take, an estimated completion date, and a method by which the training will ...