Generate learning path

Furthermore, experiments on the task of RE proved that data representation is one of the most influential factors to the model’s performance but still has many limitations. We propose a compositional embedding that combines several dominant linguistic as well as architectural features and dependency tree normalization techniques for generating rich representations for both words and dependency relations in the SDP

82p tamynhan1 13-06-2020 17 3   Download

In this paper, we promote an algorithm based on shortest path search algorithm to evaluate learning object (LO) based on its attributes and constructed a Bayesian Belief Network (BBN) to generate learning path for each learner.

8p binhminhmuatrenngondoithonggio 09-06-2017 33 1   Download