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Titlebook: Innovative Technologies and Learning; 7th International Co Yu-Ping Cheng,Margus Pedaste,Yueh-Min Huang Conference proceedings 2024 The Edit

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發(fā)表于 2025-3-21 16:44:02 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Innovative Technologies and Learning
副標(biāo)題7th International Co
編輯Yu-Ping Cheng,Margus Pedaste,Yueh-Min Huang
視頻videohttp://file.papertrans.cn/477/476162/476162.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Innovative Technologies and Learning; 7th International Co Yu-Ping Cheng,Margus Pedaste,Yueh-Min Huang Conference proceedings 2024 The Edit
描述.The two-volume set LNCS 14785 and 14786 constitutes the refereed post-conference proceedings of the 7th International Conference on Innovative Technologies and Learning, ICITL 2024, Tartu, Estonia, during August 14 -16, 2024.?..The 60 full papers included in this book were carefully reviewed and selected from 131 submissions. They were organized in topical sections as follows:..Part One :?Artificial Intelligence in Education;?Computational Thinking in Education;?Design and Framework of Learning Systems and?Pedagogies to Innovative Technologies and Learning...Part Two :?STEM/STEAM Education;?VR/AR/MR/XR in Education; and Application and Design of?Generative?Artificial Intelligence in Education..
出版日期Conference proceedings 2024
關(guān)鍵詞Computer-assisted instruction; Curricula; artificial intelligence; Interactive learning environments; Co
版次1
doihttps://doi.org/10.1007/978-3-031-65881-5
isbn_softcover978-3-031-65880-8
isbn_ebook978-3-031-65881-5Series 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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Exploring Learning in Basic Logic Using Stored Log Data and Exam Datale to benefit from a longer response time and therefore to what extent they can make use of the tools available to them. This may provide an important understanding of the students’ problems and challenges when working with basic logic.
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Investigating the Impact of Integrating Prompting Strategies in ChatGPT on Students Learning Achievericula. It examines the effects of different learning strategies (prompting strategies integrated into the ChatGPT natural science instructional group and worksheet tasks integrated into the ChatGPT natural science instructional group) on elementary students’ learning achievement and cognitive load
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Tutor-Bot: A Question-Answering Educational Robot Based on Deep Learningtraditional teaching methodologies and fostering self-directed learning among students. In this study, an educational robot named Tutor-bot is designed and developed to enhance self-directed learning by employing deep learning technologies for real-time question-answering. The development of the Tut
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