Titlebook: Artificial Intelligence in Education; 21st International C Ig Ibert Bittencourt,Mutlu Cukurova,Eva Millán Conference proceedings 2020 Sprin

Occlusion

A Socratic Tutor for Source Code Comprehensionmproved their knowledge by 45% in term of learning gain, developed a better understanding of concepts such as nested if-else and for loop, and improved their confidence level by 13%. Furthermore, the result of the Pearson product-moment correlation coefficient shows a positive correlation (r = 0.68) between feedback from the ITS and learning gain.

小故事

Scientific Modeling Using Large Scale Knowledge on the use of VERA by college-level students indicates that providing access to large scale but contextualized knowledge helped students build more complex models and generate more hypotheses in problem-solving.

痛苦一下

担心

谷类

贵族

Familienunternehmen und Zukunftsgestaltungsts from Stanford University dataset affirms the effectiveness of our model. BERT achieve good classification accuracy; this will help in early drop out detection and also facilitate future support for learners in confusion state.

调整

Medley

BERT and Prerequisite Based Ontology for Predicting Learner’s Confusion in MOOCs Discussion Forumssts from Stanford University dataset affirms the effectiveness of our model. BERT achieve good classification accuracy; this will help in early drop out detection and also facilitate future support for learners in confusion state.

Perceive

https://doi.org/10.1007/978-3-030-52240-7artificial intelligence; collaborative learning; computational linguistics; computer aided instruction;

新娘

978-3-030-52239-1Springer Nature Switzerland AG 2020