Occlusion
发表于 2025-3-30 09:10:21
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
发表于 2025-3-30 13:31:52
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
发表于 2025-3-30 17:32:45
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担心
发表于 2025-3-31 00:45:16
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谷类
发表于 2025-3-31 04:05:04
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贵族
发表于 2025-3-31 08:03:27
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
发表于 2025-3-31 13:12:06
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Medley
发表于 2025-3-31 14:37:35
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
发表于 2025-3-31 20:44:50
https://doi.org/10.1007/978-3-030-52240-7artificial intelligence; collaborative learning; computational linguistics; computer aided instruction;
新娘
发表于 2025-4-1 00:17:56
978-3-030-52239-1Springer Nature Switzerland AG 2020