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Titlebook: Advances in Social Networking-based Learning; Machine Learning-bas Christos Troussas,Maria Virvou Book 2020 Springer Nature Switzerland AG

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樓主: Suture
31#
發(fā)表于 2025-3-27 00:09:44 | 只看該作者
Mischa Schwartz,Thomas E. Sterness underlying that behavior must be observed/perceived, must be determined to be intentional and is attributed to internal or external causes. With the use of motivational messages, the students are assisted in the educational process and are not willing to quit learning.
32#
發(fā)表于 2025-3-27 01:14:17 | 只看該作者
Computer Network Architectures and Protocolslso fully evaluated by real end users. This book’s last discussion reveals a fulfilment in the authors’ efforts in the related scientific fields, as well as their suggestions and challenges for future work in intelligent social networking-based learning software.
33#
發(fā)表于 2025-3-27 06:14:10 | 只看該作者
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發(fā)表于 2025-3-27 10:35:31 | 只看該作者
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發(fā)表于 2025-3-27 14:31:21 | 只看該作者
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發(fā)表于 2025-3-27 19:46:58 | 只看該作者
37#
發(fā)表于 2025-3-27 22:44:22 | 只看該作者
Regression-Based Affect Recognition and Handling Using the Attribution Theory,ess underlying that behavior must be observed/perceived, must be determined to be intentional and is attributed to internal or external causes. With the use of motivational messages, the students are assisted in the educational process and are not willing to quit learning.
38#
發(fā)表于 2025-3-28 03:17:35 | 只看該作者
39#
發(fā)表于 2025-3-28 07:52:24 | 只看該作者
1868-4394 rate with peers and communicate with tutors while benefiting from a social and pedagogical structure similar to a real class. ..?..The book first discusses in detail the current trend of social networking-based978-3-030-39132-4978-3-030-39130-0Series ISSN 1868-4394 Series E-ISSN 1868-4408
40#
發(fā)表于 2025-3-28 10:32:25 | 只看該作者
Computer Network Architectures and Protocolsstics for building efficient student models. The described concepts are used in the following chapters for the implementation of the social networking-based language learning application, called POLYGLOT. In addition, this chapter presents well-known web-based platforms that have been used for social e-learning.
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