Sentence examples for desirable learning from inspiring English sources

Furthermore, we will continue to develop a desirable learning scenario that naturally causes the learners to perform the appropriate learning activities expected by the proposed system.

a Effectiveness – the learning environment results in generally acceptable or desirable learning outcomes, preferably better than a corresponding non-smart learning environment with similar learners.

There is a lack of extant research to address the critical issue of how to develop effective multimedia instructional content that leads to desirable learning performance and satisfaction.

In addition, it will help improve the gamification design, in particular, how to design an appropriate gamified experience that strengthens the motivation of a given population of learners and leads to desirable learning outcomes.

Namely the explicit contribution of each feature to the final model in GLMs can be useful, but if model predictive precision and accuracy are quantifiable and lower than other techniques like ANN and SVM then model transparency will need to be given a higher priority than precision or accuracy in determining a desirable learning technique.

Can assessment drive desirable learning?

Meanwhile, favorable perception of test validity was associated with a higher level of engagement in both desirable language learning activities and focused test preparation (drilling and cramming).

The first version of LLL was developed 24 years ago and was shown to produce desirable student learning outcomes, when correctly applied [ 11].

However, adopting user defined representations is clearly suboptimal, as it is desirable to learn descriptors specific to the scene of interest.

Although an investigation of the artworks' condition instigated the study of the prints discussed here, it was also desirable to learn more about Maki's choice of printing inks and paints as well as to assess the stability of these intensely luminous colorants to light prior to their exhibition.

As a result, it is desirable to learn all the models jointly rather than treating each task as independent and fitting each model separately, such as Lasso (Tibshirani, 1996) and group Lasso (Yuan and Lin, 2006).