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Titlebook: Advances in Web-Based Learning -- ICWL 2015; 14th International C Frederick W.B. Li,Ralf Klamma,Rynson W.H. Lau Conference proceedings 2015

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發(fā)表于 2025-3-21 16:26:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Web-Based Learning -- ICWL 2015
期刊簡(jiǎn)稱14th International C
影響因子2023Frederick W.B. Li,Ralf Klamma,Rynson W.H. Lau
視頻videohttp://file.papertrans.cn/151/150189/150189.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Advances in Web-Based Learning -- ICWL 2015; 14th International C Frederick W.B. Li,Ralf Klamma,Rynson W.H. Lau Conference proceedings 2015
影響因子This book constitutes the refereed proceedings of the 14th International Conference on Web-Based Learning, ICWL 2015, held in Guangzhou, China, in Noavember 2015..The 18 revised full papers presented together with 2 invited papers and 7 short papers were carefully reviewed and selected from about 79 submissions. The papers are organized in topical sections on collaborative and peer learning; e-lerning platform and tolls; design, model, and framework of e-learning systems; intelligent tutoring and tools; pedagogical issues; personalized and adaptive learning; and Web 2.0 and social learning environments.
Pindex Conference proceedings 2015
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https://doi.org/10.1057/978-1-137-58561-5 want to learn cutting-edge technology to effectively and efficiently locate appropriate online courses and learning materials using topic-specific recommendation. We further examines the system with real-world data and applications.
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Peter Sussner,Estev?o Laureano Esmi 5,488 different types of diseases on ClinicalTrials.gov. 5,508,491 semantic concepts are extracted with 459,936 being unique. We further analyze its application on assisting researchers in learning disease-specific clinical trial design.
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https://doi.org/10.1057/978-1-137-58561-5veloped for the complex evaluation of the project. The results, presented in this paper, entitle us to state the model of InterUniversity Study designed and verified within the R/IUS projects was successful and can be applied within further on.
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Discovering Commonly Shared Semantic Concepts of Eligibility Criteria for Learning Clinical Trial De 5,488 different types of diseases on ClinicalTrials.gov. 5,508,491 semantic concepts are extracted with 459,936 being unique. We further analyze its application on assisting researchers in learning disease-specific clinical trial design.
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The Web-Based InterUniversity Studyveloped for the complex evaluation of the project. The results, presented in this paper, entitle us to state the model of InterUniversity Study designed and verified within the R/IUS projects was successful and can be applied within further on.
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