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Titlebook: Learning Technologies and Systems; 19th International C Chaoyi Pang,Yunjun Gao,Qing Li Conference proceedings 2021 Springer Nature Switzerl

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發(fā)表于 2025-3-23 10:58:28 | 只看該作者
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發(fā)表于 2025-3-23 14:21:31 | 只看該作者
ghout the body. While the properties associated with any given nanomaterial may influence its redistribution, the most likely explanation for adverse effects following translocation involves increased inflammation leading to pathology. Whether more persistent nanomaterials will eventually be cleared
13#
發(fā)表于 2025-3-23 19:01:26 | 只看該作者
Intelligent Mentoring Bots in Learning Management Systemsntify the respective intent of the student. We apply those chatbots as an additional offer in university courses and evaluate them in this context. We see the potential of bots as a scalable solution for mentoring in online courses.
14#
發(fā)表于 2025-3-23 23:05:27 | 只看該作者
A Review on Visualization of Educational Data in Online Learningch findings indicate that although some progress has been achieved in educational data mining and visualizations, designing and developing effective and easy to understand visualizations and having the functionalities of interactivity and time-series analysis are still challenging. This review provi
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發(fā)表于 2025-3-24 06:24:09 | 只看該作者
HTML 5-Based Learning for 3D Computer Graphics and GISies, e-learners could view and manipulate 3D objects in web browser (e.g., Google Chrome). Such intuitive and convenient 3D visualization and manipulation results in much more interesting for learning.
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發(fā)表于 2025-3-24 08:34:42 | 只看該作者
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發(fā)表于 2025-3-24 14:01:19 | 只看該作者
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發(fā)表于 2025-3-24 16:25:56 | 只看該作者
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發(fā)表于 2025-3-24 22:09:54 | 只看該作者
Intelligent Mentoring Bots in Learning Management Systemser, due to a high resource demand, this task is difficult to achieve on a massive scale. Digitizing mentoring processes has a high potential to fill this resource gap. In this paper, we present the concept, implementation and evaluation of intelligent mentoring bots. These bots are implemented as ch
20#
發(fā)表于 2025-3-25 02:11:51 | 只看該作者
A Review on Visualization of Educational Data in Online Learning interpret these data using different patterns. However, understanding the mining patterns and extracting meaningful information from the data require reasonable skills and knowledge for the users. Information visualization, due to its potential to display large amount of data, may fill this gap. In
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