Sentence examples for in learning context from inspiring English sources

These findings predict that individuals detect the change in learning context, allowing the selective initialization and update of motor memories.

These findings provide novel evidence showing that sensorimotor and medial frontal oscillations are predicted by different adaptation processes, and that changes in medial frontal activity may indicate the formation of motor memories by responding to changes in learning context.

To investigate social regulation processes in learning contexts, the research on social interactions in small groups represents a precious point of reflection.

These results suggest that a specific benefit of making predictions in learning contexts is that it creates the opportunity for the learner to be surprised.

Similarly, simple tools such as synchronous chats can contribute positively to student motivation and learning outcomes, and students further indicate that they enjoy using such tools in learning contexts (Dickey 2003; Shotsberger 2000).

Our work points the way for the future use of these theoretical orientations and analytical techniques to further explore how students employ these resources in communication, and in learning contexts.

One practical implication of this idea is that (with solid understanding of sociocultural affordances) constraints in learning contexts should be designed to support continuous functional exploration of performers [52].

These results enable us to conclude that the exploratory search paradigm, making use of knowledge mined from Wikipedia, is a very promising approach for building information retrieval systems to be used in learning contexts.

The available evidences indicate that in a learning context gamification is more than mapping game elements on to existing learning content.

These pedagogical patterns are designed to match various learning situations in terms of learning context, learner profile and network infrastructure.

In this article we extend these results for reciprocal preference relations originating from the pairwise comparison of random vectors in a machine learning context.