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Titlebook: Artificial Intelligencein Education. Posters and Late Breaking Results, Workshops and Tutorials, Ind; 23rd International C Maria Mercedes R

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樓主: 灰塵
11#
發(fā)表于 2025-3-23 10:40:00 | 只看該作者
12#
發(fā)表于 2025-3-23 17:48:25 | 只看該作者
AI-Enabled Personalized Interview Coach in?Rural India for training the machine learning models for the system were collected from rural areas in India and were annotated by reliable experts. We validated the performance of the system on an out-of-sample data-set which included 100 interviews collected by piloting the application.
13#
發(fā)表于 2025-3-23 19:04:16 | 只看該作者
14#
發(fā)表于 2025-3-23 22:58:28 | 只看該作者
https://doi.org/10.1007/978-3-658-26638-7 the image database of character evolving process as well as the video databases of micro-lectures for extended learning. A mobile version of the dictionary has been developed, which supports the multimodal query and output information for the individual Chinese character.
15#
發(fā)表于 2025-3-24 02:50:31 | 只看該作者
16#
發(fā)表于 2025-3-24 08:31:28 | 只看該作者
Graph Entropy-Based Learning Analyticsnformation). Knowledge graphs will be used to represent the content to be learned, the tutors’ expectations, and the student’s knowledge. Early results reveal that advanced analytical algorithms and graph entropy specified for educational applications is necessary for this research project to succeed.
17#
發(fā)表于 2025-3-24 11:58:15 | 只看該作者
18#
發(fā)表于 2025-3-24 16:50:03 | 只看該作者
Artificial Intelligence (AI), the Future of Work, and the Building of a National Talent Ecosystemn range in maturity from laboratory technologies to field-tested prototypes to production software and include applications of Natural Language Understanding and Machine Learning that have only become feasible over the past two to three years.
19#
發(fā)表于 2025-3-24 20:23:34 | 只看該作者
20#
發(fā)表于 2025-3-25 02:06:45 | 只看該作者
Carol Beardmore,Cara Dobbing,Steven Kingpronunciation, to understand and to predict through AI techniques the related metacognitive information concerning reading strategies, text comprehension and L2 level. We present an experimental protocol involving a reading aloud setup, as well as first data collection to gather L2 speech with associated eye-tracking measures.
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