Sentence examples for data of learning from inspiring English sources

Exact(5)

Smart learning systems need to capture, track, and analyze data of learning activities at each stage for purposes of learning evaluation and improvement.  .

Smart learning systems need to capture, track, and analyze data of learning activities at each stage for purposes of learning evaluation and improvement.

This approach therefore encompasses both the (potentially) big data of learning analytics and the new directions of intelligent tutoring systems and OLM research providing a means to maintain the accuracy of learner models in today's learning environments, while also continuing to provide the learning, metacognitive and motivational benefits of more traditional OLMs.

Through monitoring and analyzing the data of learning process, platform can provide personalized instructional design including direct teaching based on problem, problem solving oriented cooperative inquiry, and task-driven self-regulated learning for students.

The correlation analysis between the performance data of learning of sound-gesture associations and the BOLD signal revealed a learning related decrease of activity (not deactivation) of left and right BA44 and the l-IPL.

Similar(55)

As a method of data preprocessing of learning algorithm, feature extraction can better improve the accuracy of learning algorithm and shorten the time.

Data collection assessment of learning: 1. Photos of student models along with student explanations of the parts and what they do.

So by removing less important and redundant data, the performance of learning algorithm could be improved.

By analyzing the collected emotional data and assessment of learning performance, this study explores how different multimedia learning materials affect learning emotions, and ultimately, learning performance.

A learning management system (LMS) is therefore required to monitor and record the data of student learning.

This technology uses a biologically inspired model known as an 'artificial neural network' which is trained using vast quantities of data to learn representations of data, so that it can make predictions.

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