Search (6 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Computer Based Training"
  • × year_i:[2010 TO 2020}
  1. Devaul, H.; Diekema, A.R.; Ostwald, J.: Computer-assisted assignment of educational standards using natural language processing (2011) 0.07 
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    Abstract
    Educational standards are a central focus of the current educational system in the United States, underpinning educational practice, curriculum design, teacher professional development, and high-stakes testing and assessment. Digital library users have requested that this information be accessible in association with digital learning resources to support teaching and learning as well as accountability requirements. Providing this information is complex because of the variability and number of standards documents in use at the national, state, and local level. This article describes a cataloging tool that aids catalogers in the assignment of standards metadata to digital library resources, using natural language processing techniques. The research explores whether the standards suggestor service would suggest the same standards as a human, whether relevant standards are ranked appropriately in the result set, and whether the relevance of the suggested assignments improve when, in addition to resource content, metadata is included in the query to the cataloging tool. The article also discusses how this service might streamline the cataloging workflow.
    Date
    22. 1.2011 14:25:32
    Theme
    Computer Based Training
  2. Chianese, A.; Cantone, F.; Caropreso, M.; Moscato, V.: ARCHAEOLOGY 2.0 : Cultural E-Learning tools and distributed repositories supported by SEMANTICA, a System for Learning Object Retrieval and Adaptive Courseware Generation for e-learning environments. (2010) 0.01 
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    Abstract
    The focus of the present research has been the development and the application to Virtual Archaeology of a Web-Based framework for Learning Objects indexing and retrieval. The paper presents the main outcomes of a experimentation carried out by an interdisciplinary group of Federico II University of Naples. Our equipe is composed by researchers both in ICT and in Humanities disciplines, in particular in the domain of Virtual Archaeology and Cultural Heritage Informatics in order to develop specific ICT methodological approaches to Virtual Archaeology. The methodological background is the progressive diffusion of Web 2.0 technologies and the attempt to analyze their impact and perspectives in the Cultural Heritage field. In particular, we approached the specific requirements of the so called Learning 2.0, and the possibility to improve the automation of modular courseware generation in Virtual Archaeology Didactics. The developed framework was called SEMANTICA, and it was applied to Virtual Archaeology Domain Ontologies in order to generate a didactic course in a semi-automated way. The main results of this test and the first students feedback on the course fruition will be presented and discussed..
    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
    Theme
    Computer Based Training
  3. Liu, X.; Jia, H.: Answering academic questions for education by recommending cyberlearning resources (2013) 0.00 
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    Theme
    Computer Based Training
  4. Guo, Z.; Lu, X.; Li, Yuan; Li, Yifan: ¬A framework of students' reasons for using CMC media in learning contexts : a structural approach (2011) 0.00 
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    Theme
    Computer Based Training
  5. Emmons, S.R.; Light, R.P.; Börner, K.: MOOC visual analytics : empowering students, teachers, researchers, and platform developers of massively open online courses (2017) 0.00 
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    Theme
    Computer Based Training
  6. Cal da Silva, L.F.; Werneck Barbosa, M.; Gomes, R.R.: Measuring participation in distance education online discussion forums using social network analysis (2019) 0.00 
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    Theme
    Computer Based Training

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