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Titlebook: Generative Intelligence and Intelligent Tutoring Systems; 20th International C Angelo Sifaleras,Fuhua Lin Conference proceedings 2024 The E

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發(fā)表于 2025-3-21 17:35:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Generative Intelligence and Intelligent Tutoring Systems
副標(biāo)題20th International C
編輯Angelo Sifaleras,Fuhua Lin
視頻videohttp://file.papertrans.cn/383/382349/382349.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Generative Intelligence and Intelligent Tutoring Systems; 20th International C Angelo Sifaleras,Fuhua Lin Conference proceedings 2024 The E
描述.This book constitutes the refereed proceedings of the 20th International Conference on Generative Intelligence and Intelligent Tutoring Systems, ITS 2024, held in Thessaloniki, Greece, during? June 10–13, 2024...The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows:?Generative Intelligence and Tutoring Systems;?Generative Intelligence and Healthcare Informatics;?Human Interaction, Games and Virtual Reality;?Neural Networks and Data Mining;?Generative Intelligence and Metaverse;?Security, Privacy and Ethics in Generative Intelligence; and?Generative Intelligence for Applied Natural Language Processing..
出版日期Conference proceedings 2024
關(guān)鍵詞Intelligent Tutoring Systems; Artificial Intelligence; Generative Intelligence; Learning; Machine Learni
版次1
doihttps://doi.org/10.1007/978-3-031-63028-6
isbn_softcover978-3-031-63027-9
isbn_ebook978-3-031-63028-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-22 00:09:21 | 只看該作者
https://doi.org/10.1007/978-3-319-13057-6ervention may benefit the user’s actions. To evaluate this approach, we used real behavioral data from students engaged in solving arithmetic mathematical problems. The experimental results demonstrate the effectiveness of the proposed method, reaching an AUC of 0.84 when predicting whether the student needs help.
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Wie Sie Marketingleiter werden,d semi-structured interviews and analyzed participant responses to understand the role of prompt engineering in self-directed learning. The analysis revealed that structured prompts and Generative AI motivate students and empower them to learn independently.
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發(fā)表于 2025-3-22 12:20:52 | 只看該作者
A Generative Approach for?Proactive Assistance Forecasting in?Intelligent Tutoring Environmentservention may benefit the user’s actions. To evaluate this approach, we used real behavioral data from students engaged in solving arithmetic mathematical problems. The experimental results demonstrate the effectiveness of the proposed method, reaching an AUC of 0.84 when predicting whether the student needs help.
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發(fā)表于 2025-3-22 13:24:38 | 只看該作者
Jill Watson: Scaling and?Deploying an?AI Conversational Agent in?Online Classroomsechnical College System of Georgia. We have found that Jill Watson enhances the positives of conversational courseware (such as answering questions and engaging in conversations anytime and anyplace) and suppresses the negatives of large language models (such as biases and hallucinations).
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0302-9743 tems, ITS 2024, held in Thessaloniki, Greece, during? June 10–13, 2024...The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows:?Generative Inte
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