Search (9 results, page 1 of 1)

  • × theme_ss:"Ausbildung"
  • × year_i:[2020 TO 2030}
  1. Urs, S.R.; Minhaj, M.: Evolution of data science and its education in iSchools : an impressionistic study using curriculum analysis (2023) 0.01 
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    Abstract
    Data Science (DS) has emerged from the shadows of its parents-statistics and computer science-into an independent field since its origin nearly six decades ago. Its evolution and education have taken many sharp turns. We present an impressionistic study of the evolution of DS anchored to Kuhn's four stages of paradigm shifts. First, we construct the landscape of DS based on curriculum analysis of the 32 iSchools across the world offering graduate-level DS programs. Second, we paint the "field" as it emerges from the word frequency patterns, ranking, and clustering of course titles based on text mining. Third, we map the curriculum to the landscape of DS and project the same onto the Edison Data Science Framework (2017) and ACM Data Science Knowledge Areas (2021). Our study shows that the DS programs of iSchools align well with the field and correspond to the Knowledge Areas and skillsets. iSchool's DS curriculums exhibit a bias toward "data visualization" along with machine learning, data mining, natural language processing, and artificial intelligence; go light on statistics; slanted toward ontologies and health informatics; and surprisingly minimal thrust toward eScience/research data management, which we believe would add a distinctive iSchool flavor to the DS.
  2. Barité, M.; Parentelli, V.; Rodríguez Casaballe, N.; Suárez, M.V.: Interdisciplinarity and postgraduate teaching of knowledge organization (KO) : elements for a necessary dialogue (2023) 0.01 
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    Abstract
    Interdisciplinarity implies the previous existence of disciplinary fields and not their dissolution. As a general objective, we propose to establish an initial approach to the emphasis given to interdisciplinarity in the teaching of KO, through the teaching staff responsible for postgraduate courses focused on -or related to the KO, in Ibero-American universities. For conducting the research, the framework and distribution of a survey addressed to teachers is proposed, based on four lines of action: 1. The way teachers manage the concept of interdisciplinarity. 2. The place that teachers give to interdisciplinarity in KO. 3. Assessment of interdisciplinary content that teachers incorporate into their postgraduate courses. 4. Set of teaching strategies and resources used by teachers to include interdisciplinarity in the teaching of KO. The study analyzed 22 responses. Preliminary results show that KO teachers recognize the influence of other disciplines in concepts, theories, methods, and applications, but no consensus has been reached regarding which disciplines and authors are the ones who build interdisciplinary bridges. Among other conclusions, the study strongly suggests that environmental and social tensions are reflected in subject representation, especially in the construction of friendly knowl­edge organization systems with interdisciplinary visions, and in the expressions through which information is sought.
    Date
    20.11.2023 17:29:13
  3. Haring, M.; Rudaev, A.; Lewandowski, D.: Google & Co. : wie die "Search Studies" an der HAW Hamburg unserem Nutzungsverhalten auf den Zahn fühlen: Blickpunkt angewandte Forschung (2022) 0.00 
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    Date
    28. 1.2022 11:05:29
  4. Tappenbeck, I.; Michel, A.; Wittich, A.; Werr, N.; Gäde, M.; Spree, U.; Gläser, C.; Griesbaum, J.; Mandl, T.; Keller-Loibl, K.; Stang, R.: Framework Informationskompetenz : Ein gemeinsamer Standard für die Qualifikation in den bibliotheks- und informationswissenschaftlichen Studiengängen in Deutschland (2022) 0.00 
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    Date
    2. 4.2022 13:42:29
  5. Hudon, M.: ¬The status of knowledge organization in library and information science master's programs (2021) 0.00 
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    Date
    27. 9.2022 18:46:29
  6. Krüger, N.; Pianos, T.: Lernmaterialien für junge Forschende in den Wirtschaftswissenschaften als Open Educational Resources (OER) (2021) 0.00 
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    Date
    22. 5.2021 12:43:05
  7. Zhang, Y.; Wu, D.; Hagen, L.; Song, I.-Y.; Mostafa, J.; Oh, S.; Anderson, T.; Shah, C.; Bishop, B.W.; Hopfgartner, F.; Eckert, K.; Federer, L.; Saltz, J.S.: Data science curriculum in the iField (2023) 0.00 
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    Date
    12. 5.2023 14:29:42
  8. Ekstrand, M.D.; Wright, K.L.; Pera, M.S.: Enhancing classroom instruction with online news (2020) 0.00 
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    Date
    20. 1.2015 18:30:22
  9. Das, S.; Bagchi, M.; Hussey, P.: How to teach domain ontology-based knowledge graph construction? : an Irish experiment (2023) 0.00 
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    Date
    20.11.2023 17:19:22

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