Search (6 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Computer Based Training"
  • × year_i:[2010 TO 2020}
  1. 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) 0.02 
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    Language
    e
    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
  2. Emmons, S.R.; Light, R.P.; Börner, K.: MOOC visual analytics : empowering students, teachers, researchers, and platform developers of massively open online courses (2017) 0.01 
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    Language
    e
  3. Guo, Z.; Lu, X.; Li, Yuan; Li, Yifan: ¬A framework of students' reasons for using CMC media in learning contexts : a structural approach (2011) 0.01 
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    Abstract
    Motivated by the increasing popularity of computer-mediated communication (CMC) media in university students' learning, this study employs a four-stage novel approach for analyzing and developing a structured hierarchy framework for students' usage of CMC media in learning contexts. First, media characteristics and the Uses and Gratifications (U&G) approach were adopted to understand student-specific reasons for using media. Second, a set of relevant data concerning the university students' reasons for using CMC media was collected by the Repertory Grid Interview Technique (RGT) and analyzed qualitatively using content analysis. The Interpretive Structural Modeling (ISM) technique was then used to develop a six-level hierarchical structural model of media use reasons. Finally, the cross-impact matrix multiplication applied to classification (MICMAC) technique was used to analyze the driver and dependence power for each media use reason and identify the hidden and indirect relationships among all reasons. The reasons related to students' use of CMC were classified as independent variables, linkage variables, and dependent variables. The study provides a validated typology of different clusters of interrelated students' reasons for using CMC media in learning contexts. The findings of this study will have significant implications and will be helpful for researchers, university policy-makers, instructors, and organizations in framing CMC technology implementation and use strategies.
    Language
    e
  4. Devaul, H.; Diekema, A.R.; Ostwald, J.: Computer-assisted assignment of educational standards using natural language processing (2011) 0.00 
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    Date
    22. 1.2011 14:25:32
    Language
    e
  5. Liu, X.; Jia, H.: Answering academic questions for education by recommending cyberlearning resources (2013) 0.00 
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    Abstract
    In this study, we design an innovative method for answering students' or scholars' academic questions (for a specific scientific publication) by automatically recommending e-learning resources in a cyber-infrastructure-enabled learning environment to enhance the learning experiences of students and scholars. By using information retrieval and metasearch methodologies, different types of referential metadata (related Wikipedia pages, data sets, source code, video lectures, presentation slides, and online tutorials) for an assortment of publications and scientific topics will be automatically retrieved, associated, and ranked (via the language model and the inference network model) to provide easily understandable cyberlearning resources to answer students' questions. We also designed an experimental system to automatically answer students' questions for a specific academic publication and then evaluated the quality of the answers (the recommended resources) using mean reciprocal rank and normalized discounted cumulative gain. After examining preliminary evaluation results and student feedback, we found that cyberlearning resources can provide high-quality and straightforward answers for students' and scholars' questions concerning the content of academic publications.
    Language
    e
  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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    e

Authors