ferment
发表于 2025-3-30 10:29:41
Lecture Notes in Computer Science of research topics and studying languages were rather limited. Thus, there are definitely needed more studies to enrich the research area. We hope that this paper can involve more language researchers in 3D MUVEs to provide students input- and output-rich and immersive environment where learning can be appealing, meaningful, and fun.
Hirsutism
发表于 2025-3-30 12:25:17
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草率男
发表于 2025-3-30 20:28:10
Bernstein polynomials in several variables,and mutual supervision during the whole collaborative learning process. In particular, enabling a rational group mechanism realized by the simulated annealing method, TaaS is able to allocate learners to their appropriate tasks in order to give their best performance. We also introduce details of the implementation of TaaS over the Amazon cloud.
LVAD360
发表于 2025-3-30 22:05:57
0302-9743 loud Computing for Web-Based Learning, IWCL 2013; 2013 International Workshop on Web Intelligence and Learning; WIL 2013; and the 2013 International Workshop on e-book and Education Cloud, IWEEC 2013.978-3-662-46314-7978-3-662-46315-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
Introduction
发表于 2025-3-31 03:43:27
RSA Key Generation: New Attacksons and combinations on these features and behaviors. We evaluated the effectiveness of this measure against three other popular measures with a public dataset extracted from a commercial search engine. The experiment result shows that it can generate more recommendable items and achieves both high recall and precision.
mitral-valve
发表于 2025-3-31 08:18:46
https://doi.org/10.1007/978-3-030-68773-1on to user, and build a social tool called Interactive 3D Social Graph, providing the features of information 3D visualization and navigation with kinematic gestures. These idea and features can fully support social learning, and enhance more discussion and interaction on learning between users in learning environment.
ILEUM
发表于 2025-3-31 12:51:56
A Novel Recommendation Relevancy Measure for Collaborative Filteringons and combinations on these features and behaviors. We evaluated the effectiveness of this measure against three other popular measures with a public dataset extracted from a commercial search engine. The experiment result shows that it can generate more recommendable items and achieves both high recall and precision.