Sentence examples for develop new learning from inspiring English sources

The presence and advancement of new computer, communication and sensing technologies have offered great and exciting opportunities to develop new learning environments.

Part of his multi-year funding plan for Cal State and the University of California included $10 million each this year to develop new learning technologies, including online classes.

UNICEF and the Ministry are working to develop new learning materials that incorporate folk stories and storytelling techniques that children from various Orang Asli groups can easily understand.

At the same time, we have made significant progress in preparing UNICEF to be fully IPSAS compliant – and we are in the process of working with our regional and country offices to develop new learning programmes so that all staff will be fully trained in the new system.

As an assistant professor of the practice in biology, I have a threefold charge: (1) to manage the Introductory Biology program, including co-lecturing and developing new learning tools and course materials; (2) to lead teaching development programs for graduate students; and (3) to develop the pedagogy in science education for the biology department.

GidMAT focus on teaching innovation and developing new learning methodologies.

Seven respondents reported that they developed new learning goals for their courses as a result of the USE project.

Additionally, we introduce a matrix-regularized graph learning framework that can benefit to unify some existing graph construction models and develop new graph learning algorithms.

Given that the vast majority of the procedures described in the literature for gathering training data can easily be automated, it is possible to transform valuable machine learning algorithms into self-evolving learners that use ever-changing data on genes and proteins and to develop new machine learning algorithms that are similarly capable.

Thus, it is necessary to develop new transfer learning techniques for short text analysis.

Given that the vast majority of the procedures described for gathering training data can easily be automated, it is possible to transform valuable machine learning algorithms into self-evolving learners that benefit from the ever-changing data available for gene products and to develop new machine learning algorithms that are similarly capable.