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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
21#
發(fā)表于 2025-3-25 04:48:28 | 只看該作者
Miranda Poeze,Valentina Mazzucatocational product development. We discuss lessons learned and ways we can bridge the gap between learning theories and practices, artificial intelligence, and user experience/research to craft effective learning solutions.
22#
發(fā)表于 2025-3-25 07:50:39 | 只看該作者
Speech and?Eye Tracking Features for?L2 Acquisition: A Multimodal Experimentpronunciation, 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.
23#
發(fā)表于 2025-3-25 14:48:50 | 只看該作者
An Integrated Approach to Learning Solutions: UCD?+?LS&D?+?AIEdcational product development. We discuss lessons learned and ways we can bridge the gap between learning theories and practices, artificial intelligence, and user experience/research to craft effective learning solutions.
24#
發(fā)表于 2025-3-25 19:29:17 | 只看該作者
Towards Speech-Based Collaboration Detection in a Noisy Classroomty and challenges of only using the students’ speech to predict each group’s collaboration status. We are using machine-learning techniques to build models that agree with our human annotator’s collaboration status judgments.
25#
發(fā)表于 2025-3-25 22:18:06 | 只看該作者
26#
發(fā)表于 2025-3-26 00:57:43 | 只看該作者
Family Life in Japan and Germanyty and challenges of only using the students’ speech to predict each group’s collaboration status. We are using machine-learning techniques to build models that agree with our human annotator’s collaboration status judgments.
27#
發(fā)表于 2025-3-26 07:21:24 | 只看該作者
The Black-Box Syndrome: Embracing Randomness in Machine Learning Modelsocess of extracting and communicating patterns in data, to promote innovative teaching and learning experiences. As a result, Learning Analytics (LA) and Educational Data Mining (EDM) have both been relying on various Machine Learning (ML) techniques to project novel and meaningful predictions. This
28#
發(fā)表于 2025-3-26 10:02:44 | 只看該作者
Developing an Inclusive Q&A Chatbot in Massive Open Online Courses definition of ‘inclusive learning’ in MOOCs from the Universal Design of Learning approach, this study firstly compares students’ behavioral intentions before and after using the chatbot. Next, this study investigates students’ levels of several other learning experience domains after using the cha
29#
發(fā)表于 2025-3-26 15:45:56 | 只看該作者
30#
發(fā)表于 2025-3-26 20:21:10 | 只看該作者
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