Sentence examples for representation of learning from inspiring English sources

The personal topic maps in ROS provide the participants with a more semantic management and a representation of learning resources, which are intended to facilitate later review.

This accidental finding indicates that semantically structured representation of learning resources can give the learners positive impact while reviewing their learning materials for knowledge construction.

We used the most common mathematical representation of learning curves from[55] to estimate future costs of new technologies such as traction batteries and CNG propulsion systems (c.f. subsection 'Economic analysis' in Additional file1).

In support of these operations, we define the types of reasoning failures, a taxonomy of failure causes, a second-order formalism to represent reasoning traces, a taxonomy of learning goals that specify desired change to the background knowledge of a system, and a declarative task-formalism representation of learning algorithms.

Nora, below, offers a metaphorical representation of learning to care for her body as one would care for a garden.

For future work, it is proposed to adopt a semantic representation of learned static areas properties, such that more complex interactions between agents and environments can be characterized by applying the built bank of filters based on attractive effects to new trajectories.

Lewalter (2003) mentions that "learning is enhanced when learners build referential connections between their separately developed verbal and visual representations of learning material" (p. 179).

For example, there are the various representations of learning theories when it comes to teaching methods or unfounded beliefs about the quality of care.

In the past decades, the focus in associative theorizing has changed from a behaviorist S-R perspective to a more cognitive focus on mental representations of learning events that take part in learning.

This allows us to explore representational effects, that is, the cognitive implications these properties may have, for instance, for the efficiency of information encoding and representation, ease of learning and mastering the system, or memory retrieval and cognitive load.

We conclude that explicit representation and sequencing of learning goals is necessary for avoiding negative interactions between learning algorithms that can lead to less effective learning.