Sentence examples for Deep learner models from inspiring English sources

'Deep learner models' section introduces the concept of a deep learner model, which is a 360° perspective of each learner based on multiple dimensions including cognition, affect, motivation, and meta-cognition.

We also assume that learner feedback is dynamically generated from multiple deep learner models.

8 See discussion of deep learner models for examples of domain independent models in the inner loop.

In Open-ACRE deep learner models can be based on very simple aggregations to sophisticated machine learning algorithms.

Drawing on the work developed by du Boulay and colleagues (2010) we can classify deep learner models in terms of the taxonomy in Table 1.

In order to set the stage for our discussion of Deep Learner Models, let's review an important implication of Bloom's findings in "The 2-Sigma Problem" (Bloom 1984).

The design of a deep learner model should begin with an explicit hypothesis (e.g. components of motivation).

We can extend the deep learner model taxonomy by incorporating a "meta" layer corresponding to cognition, affect, motivation, and learning strategy.

By a Deep Learner Model (DLM) we mean extending the core learner model to track not only what a learner knows, but also what the learner knows about their knowing, how they feel about their learning, their desires and motivations, the learning strategies they employ, and how they interact socially with others.

Do Students Trust Their Open Learner Models?

Ensemble learning involves estimating multiple "learner" models on a training data set and predicting unseen observations by a vote or weighted average among the multiple learners (Dietterich 2000).