Sentence examples for external learning from inspiring English sources

Three serious accidents occurred in three dynamite manufacturing plants within three European countries during a relatively short time period triggering the question of effective external learning.

This paper uses insights from strategic management and organizational theory to suggest that organizational size may have an important impact on the extent of external learning, since it differentially affects the likelihood of learning via formal and informal mechanisms.

A key choice is whether to use in-house training resources and programs tailored to the company or to partner with an educational institution to provide external learning opportunities for employees.

The Department faced challenges to creating this richer external learning experience, such as finding methods to deliver timely feedback, and discovering ways lecturers could better assess the comprehension levels of their students.

These approaches and environments propose a number of issues that deal with how adaptations are edited and how to define the connection of learning activities with external learning applications and services.

External learning that derives from interaction with the external environment influences KMC as well (Jerez-Gomez et al. 2005; Alegre and Chiva 2008).

Her gestures too often register as hand-me-down externals learned by rote, rather than natural physical extensions of what is a far more intelligent vocal performance.

The College of Letters & Science Leadership Fund link is external) creates learning experiences that stay with our students for their entire lives.

Second, at least for your first pilot projects, you'll need to bring in an external machine learning consultant for key parts of the process.

It requires many of the same skills associated with competitor analysis: systematically calibrating performance against external targets; learning to use rough estimates to determine where a competitor (or partner) is better, faster, or cheaper; translating those estimates into new internal targets; and recalibrating to establish the rate of improvement in a competitor's performance.

They should enable invoking external machine learning algorithms within the data processing pipeline.